Yang Feng
Impact in
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- Multimodal Machine Learning Applications
- Medical Image Segmentation Techniques
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
Papers in
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- Natural Language Processing Techniques 45
- Topic Modeling 40
- Speech and dialogue systems 8
-
- Multimodal Machine Learning Applications 21
- Medical Image Segmentation Techniques 12
- Advanced Image and Video Retrieval Techniques 7
- Co-authors
- Tong‐Shuang Li (3 shared papers)Chengguang Fu (3 shared papers)Zhan‐Hui Zhang (3 shared papers)Cheng Zhong (8 shared papers)Bing Huang (1 shared paper)Jinchao Zhang (7 shared papers)Liyao Fu (3 shared papers)Yaming Li (2 shared papers)
- Journals
- Biomedical Signal Processing and Control (5 papers)Sensors (4 papers)The Journal of Organic Chemistry (2 papers)The Visual Computer (2 papers)Journal of Computational Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yang Feng
111 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 142
- Computer Vision and Pattern Recognition 479
- Artificial Intelligence 691
- Media Technology 125
- Organic Chemistry 346
- Health Informatics 12
Countries citing papers authored by Yang Feng
This map shows the geographic impact of Yang Feng'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 Yang Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Feng more than expected).
Fields of papers citing papers by Yang Feng
This network shows the impact of papers produced by Yang Feng. 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 Yang Feng. The network helps show where Yang Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Feng, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 143 | |
| 2 | 2018 | 117 | |
| 3 | 1998 | 109 | |
| 4 | 1998 | 85 | |
| 5 | 2009 | 70 | |
| 6 | 2008 | 58 | |
| 7 | 2022 | 58 | |
| 8 | 2022 | 54 | |
| 9 | 2021 | 47 | |
| 10 | 2016 | 44 | |
| 11 | 2014 | 38 | |
| 12 | 2017 | 34 | |
| 13 | 2024 | 33 | |
| 14 | 1997 | 29 | |
| 15 | 2021 | 28 | |
| 16 | 2020 | 28 | |
| 17 | 2021 | 27 | |
| 18 | 2009 | 25 | |
| 19 | 2022 | 24 | |
| 20 | 2020 | 21 |
About Yang Feng
Yang Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology and Organic Chemistry, having authored 126 papers that have together received 1.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (45 papers), Topic Modeling (40 papers), Multimodal Machine Learning Applications (21 papers), Medical Image Segmentation Techniques (12 papers), Robotics and Sensor-Based Localization (10 papers), Advanced Image Fusion Techniques (9 papers), Speech and dialogue systems (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (479 citations), Artificial Intelligence (691 citations), Media Technology (125 citations), Organic Chemistry (346 citations) and Health Informatics (12 citations). Yang Feng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tong‐Shuang Li, Chengguang Fu, Zhan‐Hui Zhang, Cheng Zhong, Bing Huang, Jinchao Zhang, Liyao Fu, Yaming Li, Fangfang Sun and Shuman Liu. Their work appears in journals such as Biomedical Signal Processing and Control, Sensors, The Journal of Organic Chemistry, The Visual Computer and Journal of Computational Chemistry.
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.