Jin Sima
Impact in
- Artificial Intelligence top 5%
- Coding theory and cryptography
- Algorithms and Data Compression
- Cryptography and Data Security
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- Error Correcting Code Techniques
- Cooperative Communication and Network Coding
Papers in
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- Coding theory and cryptography 18
- Algorithms and Data Compression 7
- Neural Networks and Applications 2
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- Error Correcting Code Techniques 6
- Cooperative Communication and Network Coding 2
- Co-authors
- Jehoshua Bruck (19 shared papers)Ryan Gabrys (4 shared papers)Netanel Raviv (8 shared papers)Wei Chen (3 shared papers)Farzad Farnoud (2 shared papers)Olgica Milenković (4 shared papers)Shao‐Lun Huang (2 shared papers)Ilan Shomorony (1 shared paper)
- Journals
- IEEE Transactions on Information Theory (6 papers)Entropy (1 paper)IEEE International Symposium on Information Theory (ISIT) (19 papers)Globecom (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Jin Sima
31 papers receiving 415 citations
Peers
Comparison fields: 5 of 9
- Artificial Intelligence 354
- Computer Networks and Communications 83
- Molecular Biology 82
- Computational Theory and Mathematics 9
- Statistical and Nonlinear Physics 4
Countries citing papers authored by Jin Sima
This map shows the geographic impact of Jin Sima's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Sima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Sima more than expected).
Fields of papers citing papers by Jin Sima
This network shows the impact of papers produced by Jin Sima. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Sima. The network helps show where Jin Sima may publish in the future.
Co-authors
The 13 scholars most cited alongside Jin Sima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 58 | |
| 2 | 2020 | 56 | |
| 3 | 2019 | 47 | |
| 4 | 2019 | 43 | |
| 5 | 2020 | 33 | |
| 6 | 2020 | 28 | |
| 7 | 2021 | 23 | |
| 8 | 2019 | 18 | |
| 9 | 2023 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2021 | 11 | |
| 12 | 2014 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2018 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2014 | 4 | |
| 19 | 2016 | 3 | |
| 20 | 2017 | 3 |
About Jin Sima
Jin Sima is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Statistical and Nonlinear Physics and Molecular Biology, having authored 32 papers that have together received 417 indexed citations. Recurring topics across this work include Coding theory and cryptography (18 papers), Algorithms and Data Compression (7 papers), Error Correcting Code Techniques (6 papers), DNA and Biological Computing (4 papers), Complexity and Algorithms in Graphs (3 papers), Cooperative Communication and Network Coding (2 papers), Neural Networks and Applications (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (354 citations), Computer Networks and Communications (83 citations), Molecular Biology (82 citations), Computational Theory and Mathematics (9 citations) and Statistical and Nonlinear Physics (4 citations). Jin Sima has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Jehoshua Bruck, Ryan Gabrys, Netanel Raviv, Wei Chen, Farzad Farnoud, Olgica Milenković, Shao‐Lun Huang, Ilan Shomorony, Krishna R. Narayanan and Charles M. Schroeder. Their work appears in journals such as IEEE Transactions on Information Theory, Entropy, IEEE International Symposium on Information Theory (ISIT), Globecom and arXiv (Cornell University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.