Ruida Zhang
Impact in
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- Human Pose and Action Recognition
- Image and Object Detection Techniques
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
Papers in
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- Human Pose and Action Recognition 3
- Image Processing and 3D Reconstruction 3
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- Robot Manipulation and Learning 4
- Co-authors
- Fabian Manhardt (6 shared papers)Federico Tombari (7 shared papers)Xiangyang Ji (5 shared papers)Yan Di (5 shared papers)Nassir Navab (2 shared papers)Kuanghuai Wu (3 shared papers)Xu Cai (3 shared papers)Li Chen (3 shared papers)
- Journals
- Construction and Building Materials (2 papers)Journal of Building Engineering (1 paper)ACS Omega (1 paper)Frontiers in Materials (1 paper)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Ruida Zhang
15 papers receiving 185 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 102
- Control and Systems Engineering 82
- Human-Computer Interaction 17
- Aerospace Engineering 54
- Geology 12
Countries citing papers authored by Ruida Zhang
This map shows the geographic impact of Ruida Zhang'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 Ruida Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruida Zhang more than expected).
Fields of papers citing papers by Ruida Zhang
This network shows the impact of papers produced by Ruida Zhang. 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 Ruida Zhang. The network helps show where Ruida Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruida Zhang, 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 | 2022 | 86 | |
| 2 | 2022 | 22 | |
| 3 | 2021 | 13 | |
| 4 | 2023 | 11 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 11 | |
| 7 | 2024 | 10 | |
| 8 | 2020 | 8 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2014 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Ruida Zhang
Ruida Zhang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics, Civil and Structural Engineering and Aerospace Engineering, having authored 17 papers that have together received 188 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), Human Pose and Action Recognition (3 papers), 3D Shape Modeling and Analysis (3 papers), 3D Surveying and Cultural Heritage (3 papers), Asphalt Pavement Performance Evaluation (3 papers), Image Processing and 3D Reconstruction (3 papers), Robotics and Sensor-Based Localization (3 papers) and Infrastructure Maintenance and Monitoring (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (102 citations), Control and Systems Engineering (82 citations), Human-Computer Interaction (17 citations), Aerospace Engineering (54 citations) and Geology (12 citations). Ruida Zhang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Fabian Manhardt, Federico Tombari, Xiangyang Ji, Yan Di, Nassir Navab, Kuanghuai Wu, Xu Cai, Li Chen, Zhongxi Zhu and Wenke Huang. Their work appears in journals such as Construction and Building Materials, Journal of Building Engineering, ACS Omega, Frontiers in Materials 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.