Ben Yang
Impact in
- Computational Mathematics top 5%
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
Papers in
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- Face and Expression Recognition 12
- Advanced Image and Video Retrieval Techniques 6
- Image Retrieval and Classification Techniques 5
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- Advanced Clustering Algorithms Research 5
- Text and Document Classification Technologies 3
- Co-authors
- Xuetao Zhang (18 shared papers)Feiping Nie (13 shared papers)Fei Wang (8 shared papers)Badong Chen (13 shared papers)Zhiping Lin (8 shared papers)Rong Wang (1 shared paper)Weizhong Yu (1 shared paper)Zhixiong Nan (3 shared papers)
In The Last Decade
Ben Yang
29 papers receiving 409 citations
Peers
Comparison fields: 5 of 42
- Computational Mathematics 18
- Computer Vision and Pattern Recognition 320
- Urban Studies 67
- Media Technology 59
- Artificial Intelligence 185
Countries citing papers authored by Ben Yang
This map shows the geographic impact of Ben Yang'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 Ben Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Yang more than expected).
Fields of papers citing papers by Ben Yang
This network shows the impact of papers produced by Ben Yang. 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 Ben Yang. The network helps show where Ben Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Yang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2022 | 54 | |
| 3 | 2021 | 49 | |
| 4 | 2022 | 37 | |
| 5 | 2022 | 33 | |
| 6 | 2022 | 24 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 17 | |
| 9 | 2024 | 16 | |
| 10 | 2018 | 12 | |
| 11 | 2013 | 8 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2024 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2014 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2019 | 3 |
About Ben Yang
Ben Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Urban Studies, Control and Systems Engineering and Signal Processing, having authored 33 papers that have together received 415 indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Advanced Computing and Algorithms (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Clustering Algorithms Research (5 papers), Text and Document Classification Technologies (3 papers), Remote-Sensing Image Classification (3 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Computational Mathematics (18 citations), Computer Vision and Pattern Recognition (320 citations), Urban Studies (67 citations), Media Technology (59 citations) and Artificial Intelligence (185 citations). Ben Yang has collaborated with scholars based in China, Singapore and Mexico. Frequent co-authors include Xuetao Zhang, Feiping Nie, Fei Wang, Badong Chen, Zhiping Lin, Rong Wang, Weizhong Yu, Zhixiong Nan, Zhongheng Li and Nanning Zheng. Their work appears in journals such as Neurocomputing, IEEE Transactions on Image Processing, Neural Networks, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Knowledge and Data Engineering.
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.