Tianhao Wei
Impact in
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- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Image and Video Quality Assessment
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
Papers in
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- Advanced Control Systems Optimization 3
- Robot Manipulation and Learning 2
- Fault Detection and Control Systems 2
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- Robotic Path Planning Algorithms 2
- Co-authors
- Guanbin Li (1 shared paper)Yuan Xie (1 shared paper)Liang Lin (1 shared paper)Changliu Liu (9 shared papers)Keze Wang (1 shared paper)Rui Chen (2 shared papers)Simin Liu (1 shared paper)Yifeng Du (1 shared paper)
- Journals
- IEEE Control Systems Letters (1 paper)ACM Transactions on Cyber-Physical Systems (1 paper)Journal of Artificial Intelligence Research (1 paper)Frontiers in Public Health (1 paper)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Tianhao Wei
11 papers receiving 237 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 145
- Sensory Systems 13
- Control and Systems Engineering 53
- Periodontics 9
- Human-Computer Interaction 11
Countries citing papers authored by Tianhao Wei
This map shows the geographic impact of Tianhao Wei'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 Tianhao Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianhao Wei more than expected).
Fields of papers citing papers by Tianhao Wei
This network shows the impact of papers produced by Tianhao Wei. 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 Tianhao Wei. The network helps show where Tianhao Wei may publish in the future.
Co-authors
The 24 scholars most cited alongside Tianhao Wei, 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 | 2018 | 133 | |
| 2 | 2023 | 26 | |
| 3 | 2019 | 25 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 13 | |
| 6 | 2019 | 13 | |
| 7 | 2022 | 7 | |
| 8 | 2018 | 6 | |
| 9 | 2022 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 |
About Tianhao Wei
Tianhao Wei is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 12 papers that have together received 240 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (3 papers), Advanced Control Systems Optimization (3 papers), Reinforcement Learning in Robotics (2 papers), Robotic Path Planning Algorithms (2 papers), Robot Manipulation and Learning (2 papers), Fault Detection and Control Systems (2 papers), Wireless Communication Networks Research (1 paper) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Sensory Systems (13 citations), Control and Systems Engineering (53 citations), Periodontics (9 citations) and Human-Computer Interaction (11 citations). Tianhao Wei has collaborated with scholars based in United States and China. Frequent co-authors include Guanbin Li, Yuan Xie, Liang Lin, Changliu Liu, Keze Wang, Rui Chen, Simin Liu, Yifeng Du, Tingting Hou and Chunjuan Zhai. Their work appears in journals such as IEEE Control Systems Letters, ACM Transactions on Cyber-Physical Systems, Journal of Artificial Intelligence Research, Frontiers in Public Health and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.