Jin Gou
Impact in
-
- Artificial Intelligence in Healthcare
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Fuzzy Logic and Control Systems
Papers in
-
- Metaheuristic Optimization Algorithms Research 5
- Fuzzy Logic and Control Systems 5
- Advanced Computational Techniques and Applications 4
-
- Educational Technology and Assessment 4
- Recommender Systems and Techniques 4
- Co-authors
- Zongwen Fan (17 shared papers)Yiqiao Cai (4 shared papers)Cheng Wang (8 shared papers)Jane Y. Yang (1 shared paper)R. Lin (1 shared paper)Cheng Wang (1 shared paper)Chenhui Yang (1 shared paper)Wei Luo (1 shared paper)
In The Last Decade
Jin Gou
54 papers receiving 587 citations
Peers
Comparison fields: 5 of 106
- Health Information Management 39
- Artificial Intelligence 255
- Neurology 55
- Computational Theory and Mathematics 75
- Computer Science Applications 25
Countries citing papers authored by Jin Gou
This map shows the geographic impact of Jin Gou'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 Gou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Gou more than expected).
Fields of papers citing papers by Jin Gou
This network shows the impact of papers produced by Jin Gou. 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 Gou. The network helps show where Jin Gou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Gou, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 97 | |
| 2 | 2017 | 83 | |
| 3 | 2014 | 39 | |
| 4 | 2016 | 31 | |
| 5 | 2017 | 29 | |
| 6 | 2014 | 21 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 16 | |
| 9 | 2016 | 16 | |
| 10 | 2023 | 15 | |
| 11 | 2018 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2017 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2021 | 13 | |
| 16 | 2024 | 12 | |
| 17 | 2011 | 12 | |
| 18 | 2021 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2014 | 9 |
About Jin Gou
Jin Gou is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 58 papers that have together received 603 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (7 papers), Advanced Sensor and Control Systems (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Fuzzy Logic and Control Systems (5 papers), Structural Health Monitoring Techniques (5 papers), Educational Technology and Assessment (4 papers), Advanced Computational Techniques and Applications (4 papers) and Recommender Systems and Techniques (4 papers). The work is most often cited by research in Health Information Management (39 citations), Artificial Intelligence (255 citations), Neurology (55 citations), Computational Theory and Mathematics (75 citations) and Computer Science Applications (25 citations). Jin Gou has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Zongwen Fan, Yiqiao Cai, Cheng Wang, Jane Y. Yang, R. Lin, Cheng Wang, Chenhui Yang, Wei Luo, Nianyin Zeng and Wei Luo. Their work appears in journals such as Neurocomputing, IEEE Access, Applied Intelligence, Frontiers in Psychology and Journal of Intelligent & 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.