Shi-Jim Yen
Impact in
- Artificial Intelligence top 5%
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
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- Video Analysis and Summarization
Papers in
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- Artificial Intelligence in Games 41
- Evolutionary Algorithms and Applications 7
- Metaheuristic Optimization Algorithms Research 6
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- Digital Games and Media 19
- Co-authors
- I‐Chen Wu (12 shared papers)Chang-Shing Lee (16 shared papers)Tai-Ning Yang (6 shared papers)Mei‐Hui Wang (10 shared papers)Olivier Teytaud (14 shared papers)Arpad Rimmel (2 shared papers)Yi‐Shan Lin (1 shared paper)Sheng-Ta Hsieh (4 shared papers)
In The Last Decade
Shi-Jim Yen
64 papers receiving 358 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 301
- Computer Vision and Pattern Recognition 99
- Developmental and Educational Psychology 58
- Economics and Econometrics 86
- Computer Science Applications 17
Countries citing papers authored by Shi-Jim Yen
This map shows the geographic impact of Shi-Jim Yen'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 Shi-Jim Yen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi-Jim Yen more than expected).
Fields of papers citing papers by Shi-Jim Yen
This network shows the impact of papers produced by Shi-Jim Yen. 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 Shi-Jim Yen. The network helps show where Shi-Jim Yen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shi-Jim Yen, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 52 | |
| 2 | 2011 | 40 | |
| 3 | 2004 | 34 | |
| 4 | 2011 | 21 | |
| 5 | 2014 | 21 | |
| 6 | 2012 | 16 | |
| 7 | 2009 | 14 | |
| 8 | 2006 | 13 | |
| 9 | 2010 | 13 | |
| 10 | 2011 | 13 | |
| 11 | 2014 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2010 | 9 | |
| 14 | 2016 | 8 | |
| 15 | 2012 | 8 | |
| 16 | 2008 | 7 | |
| 17 | 2014 | 6 | |
| 18 | 2007 | 6 | |
| 19 | 2013 | 5 | |
| 20 | 2013 | 5 |
About Shi-Jim Yen
Shi-Jim Yen is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Economics and Econometrics and Developmental and Educational Psychology, having authored 73 papers that have together received 393 indexed citations. Recurring topics across this work include Artificial Intelligence in Games (41 papers), Digital Games and Media (19 papers), Video Analysis and Summarization (13 papers), Educational Games and Gamification (12 papers), Sports Analytics and Performance (12 papers), Evolutionary Algorithms and Applications (7 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). The work is most often cited by research in Artificial Intelligence (301 citations), Computer Vision and Pattern Recognition (99 citations), Developmental and Educational Psychology (58 citations), Economics and Econometrics (86 citations) and Computer Science Applications (17 citations). Shi-Jim Yen has collaborated with scholars based in Taiwan, France and Australia. Frequent co-authors include I‐Chen Wu, Chang-Shing Lee, Tai-Ning Yang, Mei‐Hui Wang, Olivier Teytaud, Arpad Rimmel, Yi‐Shan Lin, Sheng-Ta Hsieh, Michael Yu‐Chih Chen and Jean‐Baptiste Hoock. Their work appears in journals such as IEEE Transactions on Computational Intelligence and AI in Games, ICGA Journal, Knowledge-Based Systems, IEEE Computational Intelligence Magazine 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.