Bo Jin
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
-
- Neural Networks and Applications 4
- Text and Document Classification Technologies 3
- Co-authors
- Yanqing Zhang (4 shared papers)Yuchun Tang (4 shared papers)Xuefeng B. Ling (15 shared papers)Karl G. Sylvester (14 shared papers)Shiying Hao (12 shared papers)Eric Widen (11 shared papers)Frank Stearns (10 shared papers)Shaun T Alfreds (10 shared papers)
- Journals
- Journal of Medical Internet Research (4 papers)PLoS ONE (4 papers)BMC Bioinformatics (2 papers)The International Journal of Advanced Manufacturing Technology (2 papers)IEEE Transactions on Fuzzy Systems (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Bo Jin
50 papers receiving 983 citations
Peers
Comparison fields: 5 of 141
- Health Informatics 44
- Health Information Management 93
- Artificial Intelligence 281
- Physical Therapy, Sports Therapy and Rehabilitation 32
- Computational Theory and Mathematics 99
Countries citing papers authored by Bo Jin
This map shows the geographic impact of Bo Jin'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 Bo Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Jin more than expected).
Fields of papers citing papers by Bo Jin
This network shows the impact of papers produced by Bo Jin. 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 Bo Jin. The network helps show where Bo Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Jin, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 177 | |
| 2 | 2014 | 71 | |
| 3 | 2020 | 70 | |
| 4 | 2022 | 69 | |
| 5 | 2006 | 61 | |
| 6 | 2015 | 45 | |
| 7 | 2005 | 39 | |
| 8 | 2019 | 38 | |
| 9 | 2005 | 38 | |
| 10 | 2019 | 36 | |
| 11 | 2008 | 26 | |
| 12 | 2014 | 25 | |
| 13 | 2009 | 24 | |
| 14 | 2016 | 23 | |
| 15 | 2016 | 22 | |
| 16 | 2008 | 21 | |
| 17 | 2015 | 20 | |
| 18 | 2011 | 20 | |
| 19 | 2007 | 16 | |
| 20 | 2020 | 16 |
About Bo Jin
Bo Jin is a scholar working on Artificial Intelligence, Molecular Biology, Epidemiology, Computational Theory and Mathematics and Computer Networks and Communications, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Design Education and Practice (3 papers), Face and Expression Recognition (3 papers), Data Management and Algorithms (3 papers), Manufacturing Process and Optimization (3 papers), Rough Sets and Fuzzy Logic (3 papers), Computational Drug Discovery Methods (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Health Informatics (44 citations), Health Information Management (93 citations), Artificial Intelligence (281 citations), Physical Therapy, Sports Therapy and Rehabilitation (32 citations) and Computational Theory and Mathematics (99 citations). Bo Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yanqing Zhang, Yuchun Tang, Xuefeng B. Ling, Karl G. Sylvester, Shiying Hao, Eric Widen, Frank Stearns, Shaun T Alfreds, Chunqing Zhu and Doff B. McElhinney. Their work appears in journals such as Journal of Medical Internet Research, PLoS ONE, BMC Bioinformatics, The International Journal of Advanced Manufacturing Technology and IEEE Transactions on Fuzzy Systems.
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.