Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform Article Swipe
Yiting Shao
,
Zhaobin Zhang
,
Zhu Li
,
Kui Fan
,
Ge Li
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1710.03532
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1710.03532
3D sensing and content capture have made significant progress in recent years and the MPEG standardization organization is launching a new project on immersive media with point cloud compression (PCC) as one key corner stone. In this work, we introduce a new binary tree based point cloud content partition and explore the graph signal processing tools, especially the graph transform with optimized Laplacian sparsity, to achieve better energy compaction and compression efficiency. The resulting rate-distortion operating points are convex-hull optimized over the existing Lagrangian solutions. Simulation results with the latest high quality point cloud content captured from the MPEG PCC demonstrated the transform efficiency and rate-distortion (R-D) optimal potential of the proposed solutions.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1710.03532
- https://arxiv.org/pdf/1710.03532
- OA Status
- green
- Cited By
- 2
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2761271801
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2761271801Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.1710.03532Digital Object Identifier
- Title
-
Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph TransformWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-10-10Full publication date if available
- Authors
-
Yiting Shao, Zhaobin Zhang, Zhu Li, Kui Fan, Ge LiList of authors in order
- Landing page
-
https://arxiv.org/abs/1710.03532Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/1710.03532Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/1710.03532Direct OA link when available
- Concepts
-
Point cloud, Computer science, Convex hull, Distortion (music), Graph, Algorithm, Lossy compression, Cloud computing, Theoretical computer science, Regular polygon, Mathematics, Artificial intelligence, Telecommunications, Geometry, Operating system, Amplifier, Bandwidth (computing)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2022: 1, 2018: 1Per-year citation counts (last 5 years)
- References (count)
-
11Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2761271801 |
|---|---|
| doi | https://doi.org/10.48550/arxiv.1710.03532 |
| ids.doi | https://doi.org/10.48550/arxiv.1710.03532 |
| ids.mag | 2761271801 |
| ids.openalex | https://openalex.org/W2761271801 |
| fwci | |
| type | preprint |
| title | Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10481 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9994999766349792 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1704 |
| topics[0].subfield.display_name | Computer Graphics and Computer-Aided Design |
| topics[0].display_name | Computer Graphics and Visualization Techniques |
| topics[1].id | https://openalex.org/T10719 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9994999766349792 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2206 |
| topics[1].subfield.display_name | Computational Mechanics |
| topics[1].display_name | 3D Shape Modeling and Analysis |
| topics[2].id | https://openalex.org/T10531 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9972000122070312 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1707 |
| topics[2].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[2].display_name | Advanced Vision and Imaging |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C131979681 |
| concepts[0].level | 2 |
| concepts[0].score | 0.726707935333252 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1899648 |
| concepts[0].display_name | Point cloud |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.623776912689209 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C206194317 |
| concepts[2].level | 3 |
| concepts[2].score | 0.5432696342468262 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1138624 |
| concepts[2].display_name | Convex hull |
| concepts[3].id | https://openalex.org/C126780896 |
| concepts[3].level | 4 |
| concepts[3].score | 0.5333687663078308 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q899871 |
| concepts[3].display_name | Distortion (music) |
| concepts[4].id | https://openalex.org/C132525143 |
| concepts[4].level | 2 |
| concepts[4].score | 0.47025835514068604 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q141488 |
| concepts[4].display_name | Graph |
| concepts[5].id | https://openalex.org/C11413529 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4505864977836609 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[5].display_name | Algorithm |
| concepts[6].id | https://openalex.org/C165021410 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4489910304546356 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q55564 |
| concepts[6].display_name | Lossy compression |
| concepts[7].id | https://openalex.org/C79974875 |
| concepts[7].level | 2 |
| concepts[7].score | 0.41195595264434814 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q483639 |
| concepts[7].display_name | Cloud computing |
| concepts[8].id | https://openalex.org/C80444323 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3858145475387573 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2878974 |
| concepts[8].display_name | Theoretical computer science |
| concepts[9].id | https://openalex.org/C112680207 |
| concepts[9].level | 2 |
| concepts[9].score | 0.35857346653938293 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q714886 |
| concepts[9].display_name | Regular polygon |
| concepts[10].id | https://openalex.org/C33923547 |
| concepts[10].level | 0 |
| concepts[10].score | 0.22425398230552673 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[10].display_name | Mathematics |
| concepts[11].id | https://openalex.org/C154945302 |
| concepts[11].level | 1 |
| concepts[11].score | 0.21321409940719604 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[11].display_name | Artificial intelligence |
| concepts[12].id | https://openalex.org/C76155785 |
| concepts[12].level | 1 |
| concepts[12].score | 0.10727182030677795 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[12].display_name | Telecommunications |
| concepts[13].id | https://openalex.org/C2524010 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0956011712551117 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[13].display_name | Geometry |
| concepts[14].id | https://openalex.org/C111919701 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[14].display_name | Operating system |
| concepts[15].id | https://openalex.org/C194257627 |
| concepts[15].level | 3 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q211554 |
| concepts[15].display_name | Amplifier |
| concepts[16].id | https://openalex.org/C2776257435 |
| concepts[16].level | 2 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q1576430 |
| concepts[16].display_name | Bandwidth (computing) |
| keywords[0].id | https://openalex.org/keywords/point-cloud |
| keywords[0].score | 0.726707935333252 |
| keywords[0].display_name | Point cloud |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.623776912689209 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/convex-hull |
| keywords[2].score | 0.5432696342468262 |
| keywords[2].display_name | Convex hull |
| keywords[3].id | https://openalex.org/keywords/distortion |
| keywords[3].score | 0.5333687663078308 |
| keywords[3].display_name | Distortion (music) |
| keywords[4].id | https://openalex.org/keywords/graph |
| keywords[4].score | 0.47025835514068604 |
| keywords[4].display_name | Graph |
| keywords[5].id | https://openalex.org/keywords/algorithm |
| keywords[5].score | 0.4505864977836609 |
| keywords[5].display_name | Algorithm |
| keywords[6].id | https://openalex.org/keywords/lossy-compression |
| keywords[6].score | 0.4489910304546356 |
| keywords[6].display_name | Lossy compression |
| keywords[7].id | https://openalex.org/keywords/cloud-computing |
| keywords[7].score | 0.41195595264434814 |
| keywords[7].display_name | Cloud computing |
| keywords[8].id | https://openalex.org/keywords/theoretical-computer-science |
| keywords[8].score | 0.3858145475387573 |
| keywords[8].display_name | Theoretical computer science |
| keywords[9].id | https://openalex.org/keywords/regular-polygon |
| keywords[9].score | 0.35857346653938293 |
| keywords[9].display_name | Regular polygon |
| keywords[10].id | https://openalex.org/keywords/mathematics |
| keywords[10].score | 0.22425398230552673 |
| keywords[10].display_name | Mathematics |
| keywords[11].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[11].score | 0.21321409940719604 |
| keywords[11].display_name | Artificial intelligence |
| keywords[12].id | https://openalex.org/keywords/telecommunications |
| keywords[12].score | 0.10727182030677795 |
| keywords[12].display_name | Telecommunications |
| keywords[13].id | https://openalex.org/keywords/geometry |
| keywords[13].score | 0.0956011712551117 |
| keywords[13].display_name | Geometry |
| language | en |
| locations[0].id | pmh:oai:arXiv.org:1710.03532 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400194 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | arXiv (Cornell University) |
| locations[0].source.host_organization | https://openalex.org/I205783295 |
| locations[0].source.host_organization_name | Cornell University |
| locations[0].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[0].license | cc-by-nc-sa |
| locations[0].pdf_url | https://arxiv.org/pdf/1710.03532 |
| locations[0].version | submittedVersion |
| locations[0].raw_type | |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-sa |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | http://arxiv.org/abs/1710.03532 |
| locations[1].id | doi:10.48550/arxiv.1710.03532 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400194 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | True |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | arXiv (Cornell University) |
| locations[1].source.host_organization | https://openalex.org/I205783295 |
| locations[1].source.host_organization_name | Cornell University |
| locations[1].source.host_organization_lineage | https://openalex.org/I205783295 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.48550/arxiv.1710.03532 |
| indexed_in | arxiv, datacite |
| authorships[0].author.id | https://openalex.org/A5040696546 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-9625-0124 |
| authorships[0].author.display_name | Yiting Shao |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yiting Shao |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5102714187 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-5961-5163 |
| authorships[1].author.display_name | Zhaobin Zhang |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zhaobin Zhang |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5100380625 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-8246-177X |
| authorships[2].author.display_name | Zhu Li |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Zhu Li |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5101791485 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-5280-652X |
| authorships[3].author.display_name | Kui Fan |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Kui Fan |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5100447691 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-0140-0949 |
| authorships[4].author.display_name | Ge Li |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Ge Li |
| authorships[4].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://arxiv.org/pdf/1710.03532 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T10481 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9994999766349792 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1704 |
| primary_topic.subfield.display_name | Computer Graphics and Computer-Aided Design |
| primary_topic.display_name | Computer Graphics and Visualization Techniques |
| related_works | https://openalex.org/W1995805316, https://openalex.org/W2387503788, https://openalex.org/W2059658550, https://openalex.org/W50067980, https://openalex.org/W2999957348, https://openalex.org/W2964219139, https://openalex.org/W4287903946, https://openalex.org/W2803920876, https://openalex.org/W3042625184, https://openalex.org/W2343292875 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2022 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2018 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:arXiv.org:1710.03532 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400194 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | arXiv (Cornell University) |
| best_oa_location.source.host_organization | https://openalex.org/I205783295 |
| best_oa_location.source.host_organization_name | Cornell University |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| best_oa_location.license | cc-by-nc-sa |
| best_oa_location.pdf_url | https://arxiv.org/pdf/1710.03532 |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-sa |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://arxiv.org/abs/1710.03532 |
| primary_location.id | pmh:oai:arXiv.org:1710.03532 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400194 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | arXiv (Cornell University) |
| primary_location.source.host_organization | https://openalex.org/I205783295 |
| primary_location.source.host_organization_name | Cornell University |
| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | cc-by-nc-sa |
| primary_location.pdf_url | https://arxiv.org/pdf/1710.03532 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-sa |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/1710.03532 |
| publication_date | 2017-10-10 |
| publication_year | 2017 |
| referenced_works | https://openalex.org/W2516853023, https://openalex.org/W2319503556, https://openalex.org/W2106219841, https://openalex.org/W2121602656, https://openalex.org/W1529450504, https://openalex.org/W2165558283, https://openalex.org/W2415653907, https://openalex.org/W1986678681, https://openalex.org/W2591997370, https://openalex.org/W1989305571, https://openalex.org/W2134076294 |
| referenced_works_count | 11 |
| abstract_inverted_index.a | 19, 40 |
| abstract_inverted_index.3D | 0 |
| abstract_inverted_index.In | 35 |
| abstract_inverted_index.as | 30 |
| abstract_inverted_index.in | 9 |
| abstract_inverted_index.is | 17 |
| abstract_inverted_index.of | 109 |
| abstract_inverted_index.on | 22 |
| abstract_inverted_index.to | 64 |
| abstract_inverted_index.we | 38 |
| abstract_inverted_index.PCC | 99 |
| abstract_inverted_index.The | 72 |
| abstract_inverted_index.and | 2, 12, 49, 69, 104 |
| abstract_inverted_index.are | 77 |
| abstract_inverted_index.key | 32 |
| abstract_inverted_index.new | 20, 41 |
| abstract_inverted_index.one | 31 |
| abstract_inverted_index.the | 13, 51, 57, 81, 88, 97, 101, 110 |
| abstract_inverted_index.MPEG | 14, 98 |
| abstract_inverted_index.from | 96 |
| abstract_inverted_index.have | 5 |
| abstract_inverted_index.high | 90 |
| abstract_inverted_index.made | 6 |
| abstract_inverted_index.over | 80 |
| abstract_inverted_index.this | 36 |
| abstract_inverted_index.tree | 43 |
| abstract_inverted_index.with | 25, 60, 87 |
| abstract_inverted_index.(PCC) | 29 |
| abstract_inverted_index.(R-D) | 106 |
| abstract_inverted_index.based | 44 |
| abstract_inverted_index.cloud | 27, 46, 93 |
| abstract_inverted_index.graph | 52, 58 |
| abstract_inverted_index.media | 24 |
| abstract_inverted_index.point | 26, 45, 92 |
| abstract_inverted_index.work, | 37 |
| abstract_inverted_index.years | 11 |
| abstract_inverted_index.better | 66 |
| abstract_inverted_index.binary | 42 |
| abstract_inverted_index.corner | 33 |
| abstract_inverted_index.energy | 67 |
| abstract_inverted_index.latest | 89 |
| abstract_inverted_index.points | 76 |
| abstract_inverted_index.recent | 10 |
| abstract_inverted_index.signal | 53 |
| abstract_inverted_index.stone. | 34 |
| abstract_inverted_index.tools, | 55 |
| abstract_inverted_index.achieve | 65 |
| abstract_inverted_index.capture | 4 |
| abstract_inverted_index.content | 3, 47, 94 |
| abstract_inverted_index.explore | 50 |
| abstract_inverted_index.optimal | 107 |
| abstract_inverted_index.project | 21 |
| abstract_inverted_index.quality | 91 |
| abstract_inverted_index.results | 86 |
| abstract_inverted_index.sensing | 1 |
| abstract_inverted_index.captured | 95 |
| abstract_inverted_index.existing | 82 |
| abstract_inverted_index.progress | 8 |
| abstract_inverted_index.proposed | 111 |
| abstract_inverted_index.Laplacian | 62 |
| abstract_inverted_index.immersive | 23 |
| abstract_inverted_index.introduce | 39 |
| abstract_inverted_index.launching | 18 |
| abstract_inverted_index.operating | 75 |
| abstract_inverted_index.optimized | 61, 79 |
| abstract_inverted_index.partition | 48 |
| abstract_inverted_index.potential | 108 |
| abstract_inverted_index.resulting | 73 |
| abstract_inverted_index.sparsity, | 63 |
| abstract_inverted_index.transform | 59, 102 |
| abstract_inverted_index.Lagrangian | 83 |
| abstract_inverted_index.Simulation | 85 |
| abstract_inverted_index.compaction | 68 |
| abstract_inverted_index.efficiency | 103 |
| abstract_inverted_index.especially | 56 |
| abstract_inverted_index.processing | 54 |
| abstract_inverted_index.solutions. | 84, 112 |
| abstract_inverted_index.compression | 28, 70 |
| abstract_inverted_index.convex-hull | 78 |
| abstract_inverted_index.efficiency. | 71 |
| abstract_inverted_index.significant | 7 |
| abstract_inverted_index.demonstrated | 100 |
| abstract_inverted_index.organization | 16 |
| abstract_inverted_index.rate-distortion | 74, 105 |
| abstract_inverted_index.standardization | 15 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8899999856948853 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile |