Wei‐Po Lee
Impact in
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
- Metaheuristic Optimization Algorithms Research
- Multi-Agent Systems and Negotiation
- Information Systems top 5%
- Recommender Systems and Techniques
Papers in
-
- Evolutionary Algorithms and Applications 15
- Reinforcement Learning in Robotics 8
-
- Recommender Systems and Techniques 9
- Co-authors
- John Hallam (5 shared papers)Henrik Hautop Lund (4 shared papers)Yu‐Ting Hsiao (11 shared papers)Bingchiang Jeng (3 shared papers)Cheng‐Hung Chuang (1 shared paper)Deng‐Neng Chen (1 shared paper)King‐Teh Lee (3 shared papers)Chih‐Hao Chen (1 shared paper)
- Journals
- Expert Systems with Applications (5 papers)Knowledge-Based Systems (4 papers)IEEE Access (2 papers)Soft Computing (2 papers)Information Sciences (2 papers)
- Partner nations
- TaiwanUnited KingdomAustria
In The Last Decade
Wei‐Po Lee
72 papers receiving 932 citations
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 433
- Information Systems 224
- Toxicology 20
- Computer Networks and Communications 124
- Management Science and Operations Research 66
Countries citing papers authored by Wei‐Po Lee
This map shows the geographic impact of Wei‐Po Lee'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 Wei‐Po Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Po Lee more than expected).
Fields of papers citing papers by Wei‐Po Lee
This network shows the impact of papers produced by Wei‐Po Lee. 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 Wei‐Po Lee. The network helps show where Wei‐Po Lee may publish in the future.
Co-authors
The 24 scholars most cited alongside Wei‐Po Lee, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 67 | |
| 2 | 2002 | 63 | |
| 3 | 2016 | 59 | |
| 4 | 2002 | 56 | |
| 5 | 2017 | 46 | |
| 6 | 2004 | 45 | |
| 7 | 2002 | 44 | |
| 8 | 2013 | 41 | |
| 9 | 2014 | 35 | |
| 10 | 2007 | 34 | |
| 11 | 2018 | 31 | |
| 12 | 2011 | 30 | |
| 13 | 2017 | 28 | |
| 14 | 2003 | 26 | |
| 15 | 2014 | 26 | |
| 16 | 2021 | 26 | |
| 17 | 2021 | 23 | |
| 18 | 2004 | 20 | |
| 19 | 2022 | 20 | |
| 20 | 2006 | 19 |
About Wei‐Po Lee
Wei‐Po Lee is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Networks and Communications and Control and Systems Engineering, having authored 78 papers that have together received 996 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (15 papers), Gene Regulatory Network Analysis (13 papers), Bioinformatics and Genomic Networks (10 papers), Modular Robots and Swarm Intelligence (9 papers), Robotics and Automated Systems (9 papers), Recommender Systems and Techniques (9 papers), Reinforcement Learning in Robotics (8 papers) and Social Robot Interaction and HRI (6 papers). The work is most often cited by research in Artificial Intelligence (433 citations), Information Systems (224 citations), Toxicology (20 citations), Computer Networks and Communications (124 citations) and Management Science and Operations Research (66 citations). Wei‐Po Lee has collaborated with scholars based in Taiwan, United Kingdom and Austria. Frequent co-authors include John Hallam, Henrik Hautop Lund, Yu‐Ting Hsiao, Bingchiang Jeng, Cheng‐Hung Chuang, Deng‐Neng Chen, King‐Teh Lee, Chih‐Hao Chen, Y.-T. Hsiao and Wen‐Shyong Tzou. Their work appears in journals such as Expert Systems with Applications, Knowledge-Based Systems, IEEE Access, Soft Computing and Information Sciences.
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.