Shuda Li
Impact in
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- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Human Pose and Action Recognition
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- Computer Graphics and Visualization Techniques
Papers in
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- Advanced Image and Video Retrieval Techniques 2
- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 1
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Victor Adrian Prisacariu (3 shared papers)Zirui Wang (1 shared paper)Min Chen (1 shared paper)Andrew Calway (3 shared papers)Kai Han (2 shared papers)Ankur Handa (1 shared paper)Yang Zhang (1 shared paper)Kai Han (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Explore Bristol Research (1 paper)The HKU Scholars Hub (University of Hong Kong) (1 paper)Bristol Research (University of Bristol) (2 papers)
- Partner nations
- United KingdomHong Kong
In The Last Decade
Shuda Li
7 papers receiving 152 citations
Peers
Comparison fields: 5 of 26
- Computer Vision and Pattern Recognition 139
- Computer Graphics and Computer-Aided Design 19
- Geology 20
- Aerospace Engineering 62
- Computational Mechanics 28
Countries citing papers authored by Shuda Li
This map shows the geographic impact of Shuda Li'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 Shuda Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuda Li more than expected).
Fields of papers citing papers by Shuda Li
This network shows the impact of papers produced by Shuda Li. 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 Shuda Li. The network helps show where Shuda Li may publish in the future.
Co-authors
The 10 scholars most cited alongside Shuda Li, 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 | 68 | |
| 2 | 2020 | 52 | |
| 3 | 2016 | 18 | |
| 4 | 2015 | 14 | |
| 5 | 2016 | 3 | |
| 6 | 2021 | 3 | |
| 7 | 2023 | 1 |
About Shuda Li
Shuda Li is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Geology, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 7 papers that have together received 159 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), 3D Surveying and Cultural Heritage (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Advanced Vision and Imaging (2 papers), Computer Graphics and Visualization Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (139 citations), Computer Graphics and Computer-Aided Design (19 citations), Geology (20 citations), Aerospace Engineering (62 citations) and Computational Mechanics (28 citations). Shuda Li has collaborated with scholars based in United Kingdom and Hong Kong. Frequent co-authors include Victor Adrian Prisacariu, Zirui Wang, Min Chen, Andrew Calway, Kai Han, Ankur Handa, Yang Zhang, Kai Han, David Mitchell and Rigas Kouskouridas. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Explore Bristol Research, The HKU Scholars Hub (University of Hong Kong) and Bristol Research (University of Bristol).
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.