Bo Ding
Impact in
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- IoT and Edge/Fog Computing
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- Robotic Path Planning Algorithms
Papers in
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- IoT and Edge/Fog Computing 12
- Software System Performance and Reliability 8
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- Reinforcement Learning in Robotics 19
- Advanced Software Engineering Methodologies 7
- Co-authors
- Huaimin Wang (53 shared papers)Shigeng Zhang (5 shared papers)Song Guo (3 shared papers)Xuan Liu (4 shared papers)Xing Zhou (7 shared papers)Wei Meng (3 shared papers)Qingsong Ai (3 shared papers)Quan Liu (3 shared papers)
- Journals
- Science China Information Sciences (5 papers)IEEE Transactions on Artificial Intelligence (3 papers)IEEE Robotics and Automation Letters (3 papers)IEEE Internet of Things Journal (2 papers)IEEE Transactions on Circuits and Systems for Video Technology (2 papers)
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Bo Ding
86 papers receiving 831 citations
Peers
Comparison fields: 5 of 97
- Computer Networks and Communications 356
- Computer Vision and Pattern Recognition 169
- Artificial Intelligence 213
- Media Technology 50
- Information Systems 128
Countries citing papers authored by Bo Ding
This map shows the geographic impact of Bo 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 Bo Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Ding more than expected).
Fields of papers citing papers by Bo Ding
This network shows the impact of papers produced by Bo 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 Bo Ding. The network helps show where Bo Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo 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
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 74 | |
| 2 | 2020 | 49 | |
| 3 | 2018 | 47 | |
| 4 | 2020 | 45 | |
| 5 | 2020 | 42 | |
| 6 | 2018 | 40 | |
| 7 | 2016 | 33 | |
| 8 | 2013 | 32 | |
| 9 | 2018 | 30 | |
| 10 | 2012 | 24 | |
| 11 | 2014 | 23 | |
| 12 | 2019 | 23 | |
| 13 | 2017 | 22 | |
| 14 | 2021 | 21 | |
| 15 | 2019 | 17 | |
| 16 | 2018 | 17 | |
| 17 | 2019 | 17 | |
| 18 | 2016 | 15 | |
| 19 | 2012 | 13 | |
| 20 | 2018 | 12 |
About Bo Ding
Bo Ding is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 104 papers that have together received 857 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (19 papers), Modular Robots and Swarm Intelligence (14 papers), IoT and Edge/Fog Computing (12 papers), Robotics and Automated Systems (12 papers), Cloud Computing and Resource Management (9 papers), Robotics and Sensor-Based Localization (9 papers), Software System Performance and Reliability (8 papers) and Advanced Software Engineering Methodologies (7 papers). The work is most often cited by research in Computer Networks and Communications (356 citations), Computer Vision and Pattern Recognition (169 citations), Artificial Intelligence (213 citations), Media Technology (50 citations) and Information Systems (128 citations). Bo Ding has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Huaimin Wang, Shigeng Zhang, Song Guo, Xuan Liu, Xing Zhou, Wei Meng, Qingsong Ai, Quan Liu, Yue Yu and Kele Xu. Their work appears in journals such as Science China Information Sciences, IEEE Transactions on Artificial Intelligence, IEEE Robotics and Automation Letters, IEEE Internet of Things Journal and IEEE Transactions on Circuits and Systems for Video Technology.
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.