Xuchu Ding
Impact in
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- Formal Methods in Verification
- Petri Nets in System Modeling
- Software top 10%
- Model-Driven Software Engineering Techniques
Papers in
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- Petri Nets in System Modeling 4
- Formal Methods in Verification 4
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- Reinforcement Learning in Robotics 2
- AI-based Problem Solving and Planning 1
- Co-authors
- Călin Belta (6 shared papers)Christos G. Cassandras (1 shared paper)Stephen L. Smith (1 shared paper)Daniela Rus (1 shared paper)Mircea Lazar (4 shared papers)Ebru Aydın Göl (2 shared papers)Ioannis Ch. Paschalidis (1 shared paper)Aixin Sun (1 shared paper)
- Journals
- IEEE Transactions on Automatic Control (3 papers)Semiconductor Science and Technology (1 paper)Automatica (1 paper)The International Journal of Robotics Research (1 paper)IFAC Proceedings Volumes (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Xuchu Ding
9 papers receiving 312 citations
Peers
Comparison fields: 5 of 44
- Computational Theory and Mathematics 152
- Software 35
- Artificial Intelligence 140
- Computer Networks and Communications 98
- Hardware and Architecture 25
Countries citing papers authored by Xuchu Ding
This map shows the geographic impact of Xuchu 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 Xuchu Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuchu Ding more than expected).
Fields of papers citing papers by Xuchu Ding
This network shows the impact of papers produced by Xuchu 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 Xuchu Ding. The network helps show where Xuchu Ding may publish in the future.
Co-authors
The 15 scholars most cited alongside Xuchu 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 | 2014 | 120 | |
| 2 | 2012 | 92 | |
| 3 | 2013 | 40 | |
| 4 | 2022 | 24 | |
| 5 | 2015 | 16 | |
| 6 | 2014 | 15 | |
| 7 | 2007 | 9 | |
| 8 | 2012 | 7 | |
| 9 | 2020 | 1 |
About Xuchu Ding
Xuchu Ding is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Control and Systems Engineering, Hardware and Architecture and Biomedical Engineering, having authored 9 papers that have together received 324 indexed citations. Recurring topics across this work include Petri Nets in System Modeling (4 papers), Formal Methods in Verification (4 papers), Reinforcement Learning in Robotics (2 papers), Real-Time Systems Scheduling (2 papers), Advanced Control Systems Optimization (2 papers), Nanowire Synthesis and Applications (1 paper), AI-based Problem Solving and Planning (1 paper) and Mathematical Biology Tumor Growth (1 paper). The work is most often cited by research in Computational Theory and Mathematics (152 citations), Software (35 citations), Artificial Intelligence (140 citations), Computer Networks and Communications (98 citations) and Hardware and Architecture (25 citations). Xuchu Ding has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Călin Belta, Christos G. Cassandras, Stephen L. Smith, Daniela Rus, Mircea Lazar, Ebru Aydın Göl, Ioannis Ch. Paschalidis, Aixin Sun, Xinyu Zou and Morteza Lahijanian. Their work appears in journals such as IEEE Transactions on Automatic Control, Semiconductor Science and Technology, Automatica, The International Journal of Robotics Research and IFAC Proceedings Volumes.
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.