Xiang‐Jun Shen
Impact in
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- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Face and Expression Recognition 42
- Image Retrieval and Classification Techniques 9
- Advanced Image and Video Retrieval Techniques 8
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- Machine Learning and ELM 11
- Text and Document Classification Technologies 9
- Domain Adaptation and Few-Shot Learning 6
- Co-authors
- Yongzhao Zhan (14 shared papers)Jianping Gou (11 shared papers)Lan Du (2 shared papers)Min Wan (1 shared paper)Jinfu Chen (1 shared paper)Qirong Mao (4 shared papers)Zheng-Jun Zha (12 shared papers)Yi Zhang (2 shared papers)
In The Last Decade
Xiang‐Jun Shen
65 papers receiving 1.2k citations
Xiang‐Jun Shen's Hit Papers
Peers
Comparison fields: 5 of 172
- Computer Vision and Pattern Recognition 376
- Media Technology 100
- Computational Mathematics 6
- Artificial Intelligence 293
- Signal Processing 64
Countries citing papers authored by Xiang‐Jun Shen
This map shows the geographic impact of Xiang‐Jun Shen'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 Xiang‐Jun Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang‐Jun Shen more than expected).
Fields of papers citing papers by Xiang‐Jun Shen
This network shows the impact of papers produced by Xiang‐Jun Shen. 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 Xiang‐Jun Shen. The network helps show where Xiang‐Jun Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiang‐Jun Shen, 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 | Maximum Neighborhood Margin Discriminant Projection for Classification Hit paper breakdown → | 2014 | 615 |
| 2 | 2019 | 75 | |
| 3 | 2014 | 64 | |
| 4 | 2015 | 49 | |
| 5 | 2019 | 47 | |
| 6 | 2015 | 36 | |
| 7 | 2018 | 27 | |
| 8 | 2018 | 26 | |
| 9 | 2018 | 24 | |
| 10 | 2021 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 18 | |
| 13 | 2021 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2023 | 12 | |
| 16 | 2018 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2014 | 10 |
About Xiang‐Jun Shen
Xiang‐Jun Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics and Computer Networks and Communications, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Face and Expression Recognition (42 papers), Sparse and Compressive Sensing Techniques (13 papers), Remote-Sensing Image Classification (12 papers), Machine Learning and ELM (11 papers), Image Retrieval and Classification Techniques (9 papers), Text and Document Classification Technologies (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (376 citations), Media Technology (100 citations), Computational Mathematics (6 citations), Artificial Intelligence (293 citations) and Signal Processing (64 citations). Xiang‐Jun Shen has collaborated with scholars based in China, Ghana and Nigeria. Frequent co-authors include Yongzhao Zhan, Jianping Gou, Lan Du, Min Wan, Jinfu Chen, Qirong Mao, Zheng-Jun Zha, Yi Zhang, Weihua Ou and Xinyu Pan. Their work appears in journals such as Multimedia Tools and Applications, Applied Intelligence, Pattern Recognition, Neurocomputing and Knowledge-Based 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.