Feng Yan
Impact in
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- Digital Transformation in Industry
- Recycling and Waste Management Techniques
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- Supply Chain and Inventory Management
Papers in
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- Advanced Image and Video Retrieval Techniques 6
- Multimodal Machine Learning Applications 5
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- Domain Adaptation and Few-Shot Learning 6
- Co-authors
- S. Viswanathan (3 shared papers)Min Liu (3 shared papers)Weiming Shen (3 shared papers)Qing Liu (3 shared papers)Qing Liu (1 shared paper)Hong Chen (2 shared papers)Shanshan Li (1 shared paper)Yingyu Zhang (1 shared paper)
In The Last Decade
Feng Yan
21 papers receiving 243 citations
Peers
Comparison fields: 5 of 82
- Industrial and Manufacturing Engineering 38
- Management Information Systems 31
- Strategy and Management 40
- Industrial and Manufacturing Engineering 20
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Feng Yan
This map shows the geographic impact of Feng Yan'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 Feng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yan more than expected).
Fields of papers citing papers by Feng Yan
This network shows the impact of papers produced by Feng Yan. 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 Feng Yan. The network helps show where Feng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Yan, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 27 | |
| 2 | 2022 | 26 | |
| 3 | 2009 | 25 | |
| 4 | 2019 | 25 | |
| 5 | 2022 | 24 | |
| 6 | 2010 | 23 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2022 | 12 | |
| 10 | 2013 | 9 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2004 | 4 | |
| 17 | 2023 | 3 | |
| 18 | Neural Mechanisms of Intuitive Tactical Decision-making Predominance of High-level Fencing Athletes | 2010 | 3 |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Feng Yan
Feng Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Strategy and Management, Electrical and Electronic Engineering and Management Information Systems, having authored 27 papers that have together received 244 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Multimodal Machine Learning Applications (5 papers), Sustainable Supply Chain Management (3 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers), Digital Transformation in Industry (3 papers), Manufacturing Process and Optimization (3 papers) and Supply Chain and Inventory Management (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (38 citations), Management Information Systems (31 citations), Strategy and Management (40 citations), Industrial and Manufacturing Engineering (20 citations) and Computer Vision and Pattern Recognition (38 citations). Feng Yan has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include S. Viswanathan, Min Liu, Weiming Shen, Qing Liu, Qing Liu, Hong Chen, Shanshan Li, Yingyu Zhang, Yanbing Li and Min Liu. Their work appears in journals such as Journal of Manufacturing Systems, International Journal of Production Economics, The Visual Computer, The Journal of Physical Chemistry B and Multimedia Tools and Applications.
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.