Long Sha
Impact in
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- Video Analysis and Summarization
- Human Pose and Action Recognition
- Data Visualization and Analytics
- Advanced Vision and Imaging
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- Sports Performance and Training
Papers in
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- Video Analysis and Summarization 5
- Human Pose and Action Recognition 3
- Video Surveillance and Tracking Methods 2
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- Anomaly Detection Techniques and Applications 2
- Metaheuristic Optimization Algorithms Research 2
- Co-authors
- Patrick Lucey (8 shared papers)Xinyu Wei (4 shared papers)Sridha Sridharan (4 shared papers)Stuart Morgan (2 shared papers)Xiaorong Zou (1 shared paper)Yisong Yue (3 shared papers)Peter Carr (2 shared papers)Iain Matthews (2 shared papers)
- Journals
- Molecules (2 papers)ACM Transactions on Computer-Human Interaction (1 paper)Mathematical Biosciences & Engineering (1 paper)ACS Applied Polymer Materials (1 paper)Phytomedicine (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Long Sha
27 papers receiving 335 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 143
- Orthopedics and Sports Medicine 31
- Signal Processing 45
- Economics and Econometrics 93
- Fuel Technology 2
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 51 | |
| 2 | 2020 | 47 | |
| 3 | 2022 | 41 | |
| 4 | 2016 | 30 | |
| 5 | 2019 | 29 | |
| 6 | 2018 | 27 | |
| 7 | 2014 | 16 | |
| 8 | 2015 | 16 | |
| 9 | 2022 | 11 | |
| 10 | 2017 | 9 | |
| 11 | 2018 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2013 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 6 | |
| 17 | 2014 | 6 | |
| 18 | Generating Multi-Agent Trajectories using Programmatic Weak Supervision | 2018 | 4 |
| 19 | 2023 | 4 | |
| 20 | 2021 | 3 |
About Long Sha
Long Sha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science, Signal Processing and Molecular Biology, having authored 30 papers that have together received 348 indexed citations. Recurring topics across this work include Video Analysis and Summarization (5 papers), Time Series Analysis and Forecasting (4 papers), Human Pose and Action Recognition (3 papers), Sports Analytics and Performance (3 papers), Anomaly Detection Techniques and Applications (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (143 citations), Orthopedics and Sports Medicine (31 citations), Signal Processing (45 citations), Economics and Econometrics (93 citations) and Fuel Technology (2 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, Xiaorong Zou, Yisong Yue, Peter Carr, Iain Matthews, S. Ganguly and Panna Felsen. Their work appears in journals such as Molecules, ACM Transactions on Computer-Human Interaction, Mathematical Biosciences & Engineering, ACS Applied Polymer Materials and Phytomedicine.
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.