Blockchain for deep learning: review and open challenges Article Swipe
Muhammad Shafay
,
Raja Wasim Ahmad
,
Khaled Salah
,
Ibrar Yaqoob
,
Raja Jayaraman
,
Mohammed Omar
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1007/s10586-022-03582-7
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1007/s10586-022-03582-7
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s10586-022-03582-7
- https://link.springer.com/content/pdf/10.1007/s10586-022-03582-7.pdf
- OA Status
- bronze
- Cited By
- 143
- References
- 97
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4220993330
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4220993330Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s10586-022-03582-7Digital Object Identifier
- Title
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Blockchain for deep learning: review and open challengesWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-03-14Full publication date if available
- Authors
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Muhammad Shafay, Raja Wasim Ahmad, Khaled Salah, Ibrar Yaqoob, Raja Jayaraman, Mohammed OmarList of authors in order
- Landing page
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https://doi.org/10.1007/s10586-022-03582-7Publisher landing page
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https://link.springer.com/content/pdf/10.1007/s10586-022-03582-7.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://link.springer.com/content/pdf/10.1007/s10586-022-03582-7.pdfDirect OA link when available
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Deep learning, Computer science, Artificial intelligence, Data science, Blockchain, Transparency (behavior), Machine learning, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
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143Total citation count in OpenAlex
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2025: 46, 2024: 50, 2023: 37, 2022: 10Per-year citation counts (last 5 years)
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97Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works_count | 97 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile.value | 0.99888747 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |