Xiaobo Shen
Impact in
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- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Media Technology top 2%
- Remote-Sensing Image Classification
Papers in
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- Advanced Image and Video Retrieval Techniques 40
- Face and Expression Recognition 27
- Video Surveillance and Tracking Methods 18
- Image Retrieval and Classification Techniques 17
- Multimodal Machine Learning Applications 10
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- Text and Document Classification Technologies 9
- Co-authors
- Quansen Sun (35 shared papers)Yew-Soon Ong (10 shared papers)Jianfei Cai (3 shared papers)Haitao Liu (2 shared papers)Boqiang Lin (9 shared papers)Yunhao Yuan (20 shared papers)Fumin Shen (6 shared papers)Weiwei Liu (13 shared papers)
In The Last Decade
Xiaobo Shen
93 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Computer Vision and Pattern Recognition 983
- Media Technology 201
- Artificial Intelligence 676
- Computational Mathematics 9
- Environmental Engineering 117
Countries citing papers authored by Xiaobo Shen
This map shows the geographic impact of Xiaobo 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 Xiaobo Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobo Shen more than expected).
Fields of papers citing papers by Xiaobo Shen
This network shows the impact of papers produced by Xiaobo 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 Xiaobo Shen. The network helps show where Xiaobo Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobo 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | When Gaussian Process Meets Big Data: A Review of Scalable GPs Hit paper breakdown → | 2020 | 466 |
| 2 | 2016 | 107 | |
| 3 | 2018 | 88 | |
| 4 | 2018 | 78 | |
| 5 | 2020 | 72 | |
| 6 | 2018 | 66 | |
| 7 | 2017 | 64 | |
| 8 | 2015 | 63 | |
| 9 | 2010 | 58 | |
| 10 | 2017 | 53 | |
| 11 | 2023 | 48 | |
| 12 | 2020 | 44 | |
| 13 | 2019 | 42 | |
| 14 | 2018 | 41 | |
| 15 | 2021 | 41 | |
| 16 | 2014 | 40 | |
| 17 | 2017 | 39 | |
| 18 | 2018 | 36 | |
| 19 | 2017 | 29 | |
| 20 | 2014 | 29 |
About Xiaobo Shen
Xiaobo Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Economics and Econometrics and Environmental Engineering, having authored 99 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (40 papers), Face and Expression Recognition (27 papers), Video Surveillance and Tracking Methods (18 papers), Image Retrieval and Classification Techniques (17 papers), Remote-Sensing Image Classification (14 papers), Multimodal Machine Learning Applications (10 papers), Text and Document Classification Technologies (9 papers) and Environmental Impact and Sustainability (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (983 citations), Media Technology (201 citations), Artificial Intelligence (676 citations), Computational Mathematics (9 citations) and Environmental Engineering (117 citations). Xiaobo Shen has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Quansen Sun, Yew-Soon Ong, Jianfei Cai, Haitao Liu, Boqiang Lin, Yunhao Yuan, Fumin Shen, Weiwei Liu, Ivor W. Tsang and Lingyun Xiang. Their work appears in journals such as Neurocomputing, IEEE Transactions on Image Processing, IEEE Access, Pattern Recognition and IEEE Transactions on Neural Networks and Learning 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.