Long Sha
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Video Analysis and Summarization
- Data Visualization and Analytics
- Orthopedics and Sports Medicine top 10%
- Sports Performance and Training
Papers in
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- Video Surveillance and Tracking Methods 5
- Video Analysis and Summarization 3
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- Data Management and Algorithms 2
- Co-authors
- Patrick Lucey (8 shared papers)Xinyu Wei (4 shared papers)Sridha Sridharan (5 shared papers)Stuart Morgan (3 shared papers)Panna Felsen (1 shared paper)Yisong Yue (2 shared papers)Peter Carr (2 shared papers)Iain A. Matthews (2 shared papers)
- Journals
- Molecules (2 papers)Journal of Industrial Textiles (1 paper)Tribology International (1 paper)Journal of Zhejiang University. Science A (1 paper)ACM Transactions on Computer-Human Interaction (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Long Sha
26 papers receiving 360 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 155
- Orthopedics and Sports Medicine 48
- Signal Processing 20
- Economics and Econometrics 55
- Mechanical Engineering 44
Countries citing papers authored by Long Sha
This map shows the geographic impact of Long Sha'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 Long Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Sha more than expected).
Fields of papers citing papers by Long Sha
This network shows the impact of papers produced by Long Sha. 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 Long Sha. The network helps show where Long Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Sha, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2013 | 52 | |
| 3 | 2022 | 42 | |
| 4 | 2016 | 31 | |
| 5 | 2019 | 30 | |
| 6 | 2018 | 29 | |
| 7 | 2015 | 19 | |
| 8 | 2014 | 16 | |
| 9 | 2014 | 13 | |
| 10 | 2013 | 12 | |
| 11 | 2022 | 12 | |
| 12 | 2023 | 10 | |
| 13 | 2018 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 5 | |
| 18 | 2021 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2025 | 2 |
About Long Sha
Long Sha is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Mechanical Engineering, Artificial Intelligence and Plant Science, having authored 27 papers that have together received 376 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Video Analysis and Summarization (3 papers), Data Management and Algorithms (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Inflammatory Bowel Disease (2 papers), Light effects on plants (1 paper), Thermal Expansion and Ionic Conductivity (1 paper) and Advanced Sensor Technologies Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (155 citations), Orthopedics and Sports Medicine (48 citations), Signal Processing (20 citations), Economics and Econometrics (55 citations) and Mechanical Engineering (44 citations). Long Sha has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Patrick Lucey, Xinyu Wei, Sridha Sridharan, Stuart Morgan, Panna Felsen, Yisong Yue, Peter Carr, Iain A. Matthews, Fan Cao and Yiannis A. Levendis. Their work appears in journals such as Molecules, Journal of Industrial Textiles, Tribology International, Journal of Zhejiang University. Science A and ACM Transactions on Computer-Human Interaction.
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.