Tong Yang
Impact in
- Inorganic Chemistry top 10%
- Metal-Organic Frameworks: Synthesis and Applications
- Radioactive element chemistry and processing
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- Advanced Photocatalysis Techniques
Papers in
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- Robotic Mechanisms and Dynamics 10
- Robot Manipulation and Learning 7
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- Robotic Path Planning Algorithms 7
- Co-authors
- San‐Yuan Ding (4 shared papers)Wei Wang (4 shared papers)Peng‐Lai Wang (2 shared papers)Jie Feng (1 shared paper)Jiao Liu (1 shared paper)Zhipeng Wang (1 shared paper)Rong Xiong (10 shared papers)Yifan Sun (1 shared paper)
In The Last Decade
Tong Yang
33 papers receiving 287 citations
Peers
Comparison fields: 5 of 62
- Inorganic Chemistry 104
- Renewable Energy, Sustainability and the Environment 66
- Materials Chemistry 139
- Computer Vision and Pattern Recognition 52
- Geology 8
Countries citing papers authored by Tong Yang
This map shows the geographic impact of Tong Yang'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 Tong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Yang more than expected).
Fields of papers citing papers by Tong Yang
This network shows the impact of papers produced by Tong Yang. 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 Tong Yang. The network helps show where Tong Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Tong Yang, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2024 | 52 | |
| 3 | 2018 | 13 | |
| 4 | 2020 | 12 | |
| 5 | 2024 | 12 | |
| 6 | SketchML Accelerating Distributed Machine Learning with Data Sketches | 2018 | 12 |
| 7 | 2021 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2012 | 3 |
About Tong Yang
Tong Yang is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering and Biomedical Engineering, having authored 39 papers that have together received 291 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (10 papers), Robotic Path Planning Algorithms (7 papers), Robotics and Sensor-Based Localization (7 papers), Robot Manipulation and Learning (7 papers), Covalent Organic Framework Applications (4 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers), Robotic Locomotion and Control (3 papers) and Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Inorganic Chemistry (104 citations), Renewable Energy, Sustainability and the Environment (66 citations), Materials Chemistry (139 citations), Computer Vision and Pattern Recognition (52 citations) and Geology (8 citations). Tong Yang has collaborated with scholars based in China, Australia and Spain. Frequent co-authors include San‐Yuan Ding, Wei Wang, Peng‐Lai Wang, Jie Feng, Jiao Liu, Zhipeng Wang, Rong Xiong, Yifan Sun, Yue Wang and Jaime Valls Miró. Their work appears in journals such as Journal of the American Chemical Society, IEEE Robotics and Automation Letters, IEEE/ASME Transactions on Mechatronics, PLoS ONE and IEEE Transactions on Automation Science and Engineering.
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.