Tianli Ding
Impact in
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- Supercapacitor Materials and Fabrication
Papers in
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- Advancements in Battery Materials 3
- Electrical Fault Detection and Protection 2
- Advanced Battery Materials and Technologies 2
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- Reinforcement Learning in Robotics 2
- Co-authors
- Mingdeng Wei (3 shared papers)Tongbin Lan (2 shared papers)Weifeng Zhang (1 shared paper)Nae‐Lih Wu (1 shared paper)Jonathan Tompson (2 shared papers)Corey Lynch (2 shared papers)Pete Florence (1 shared paper)Ayzaan Wahid (1 shared paper)
- Journals
- Journal of Electroanalytical Chemistry (2 papers)Sensors (2 papers)IEEE Robotics and Automation Letters (1 paper)Journal of Power Sources (1 paper)Molecular Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Tianli Ding
8 papers receiving 161 citations
Tianli Ding's Hit Papers
Peers
Comparison fields: 5 of 53
- Electronic, Optical and Magnetic Materials 39
- Health Informatics 2
- Computer Vision and Pattern Recognition 29
- Electrical and Electronic Engineering 76
- Artificial Intelligence 36
Countries citing papers authored by Tianli Ding
This map shows the geographic impact of Tianli Ding'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 Tianli Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianli Ding more than expected).
Fields of papers citing papers by Tianli Ding
This network shows the impact of papers produced by Tianli Ding. 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 Tianli Ding. The network helps show where Tianli Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Tianli Ding, 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 | 2017 | 51 | |
| 2 | Interactive Language: Talking to Robots in Real Time Hit paper breakdown → | 2024 | 46 |
| 3 | 2024 | 25 | |
| 4 | 2018 | 14 | |
| 5 | 2017 | 13 | |
| 6 | 2022 | 9 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2025 | 0 |
About Tianli Ding
Tianli Ding is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering and Radiological and Ultrasound Technology, having authored 10 papers that have together received 163 indexed citations. Recurring topics across this work include Advancements in Battery Materials (3 papers), Electrical Fault Detection and Protection (2 papers), Advanced Battery Materials and Technologies (2 papers), Supercapacitor Materials and Fabrication (2 papers), Extraction and Separation Processes (2 papers), Robot Manipulation and Learning (2 papers), Occupational Health and Safety Research (2 papers) and Reinforcement Learning in Robotics (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (39 citations), Health Informatics (2 citations), Computer Vision and Pattern Recognition (29 citations), Electrical and Electronic Engineering (76 citations) and Artificial Intelligence (36 citations). Tianli Ding has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Mingdeng Wei, Tongbin Lan, Weifeng Zhang, Nae‐Lih Wu, Jonathan Tompson, Corey Lynch, Pete Florence, Ayzaan Wahid, Pierre Sermanet and Jie Dou. Their work appears in journals such as Journal of Electroanalytical Chemistry, Sensors, IEEE Robotics and Automation Letters, Journal of Power Sources and Molecular Psychiatry.
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.