Shida He
Impact in
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- Visual Attention and Saliency Detection
- Advanced Neural Network Applications
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- Automated Road and Building Extraction
Papers in
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- Computational Drug Discovery Methods 5
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- Video Surveillance and Tracking Methods 3
- Face and Expression Recognition 2
- Medical Image Segmentation Techniques 2
- Visual Attention and Saliency Detection 1
- Co-authors
- Quan Zou (3 shared papers)Fei Guo (1 shared paper)Xuebin Qin (6 shared papers)Martin Jägersand (6 shared papers)Masood Dehghan (5 shared papers)Zichen Zhang (3 shared papers)Xiucai Ye (5 shared papers)Tetsuya Sakurai (5 shared papers)
In The Last Decade
Shida He
12 papers receiving 296 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 67
- Ocean Engineering 22
- Computational Mathematics 1
- Molecular Biology 91
- Computational Theory and Mathematics 15
Countries citing papers authored by Shida He
This map shows the geographic impact of Shida He'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 Shida He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shida He more than expected).
Fields of papers citing papers by Shida He
This network shows the impact of papers produced by Shida He. 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 Shida He. The network helps show where Shida He may publish in the future.
Co-authors
The 18 scholars most cited alongside Shida He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 147 | |
| 2 | 2018 | 40 | |
| 3 | 2018 | 33 | |
| 4 | 2023 | 17 | |
| 5 | 2022 | 15 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 10 | |
| 8 | 2017 | 9 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 4 | |
| 11 | 2018 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2026 | 0 |
About Shida He
Shida He is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Health Information Management, Ocean Engineering and Molecular Biology, having authored 14 papers that have together received 301 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Video Surveillance and Tracking Methods (3 papers), Face and Expression Recognition (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Medical Image Segmentation Techniques (2 papers), Visual Attention and Saliency Detection (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (67 citations), Ocean Engineering (22 citations), Computational Mathematics (1 citation), Molecular Biology (91 citations) and Computational Theory and Mathematics (15 citations). Shida He has collaborated with scholars based in Japan, China and Canada. Frequent co-authors include Quan Zou, Fei Guo, Xuebin Qin, Martin Jägersand, Masood Dehghan, Zichen Zhang, Xiucai Ye, Tetsuya Sakurai, Xiucheng Yang and Qiming Qin. Their work appears in journals such as Computers in Biology and Medicine, Current Topics in Medicinal Chemistry, IEEE Geoscience and Remote Sensing Letters, Briefings in Bioinformatics and Journal of Molecular Biology.
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.