Binbin Qiu
Impact in
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- Robotic Mechanisms and Dynamics
- Adaptive Control of Nonlinear Systems
- Iterative Learning Control Systems
- Control Systems and Identification
Papers in
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- Adaptive Control of Nonlinear Systems 38
- Robotic Mechanisms and Dynamics 32
- Iterative Learning Control Systems 14
- Control and Dynamics of Mobile Robots 8
- Advanced Algorithms and Applications 6
- Control Systems and Identification 6
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- Neural Networks and Applications 17
- Co-authors
- Yunong Zhang (70 shared papers)Zhi Gang Yang (9 shared papers)Jinjin Guo (24 shared papers)Long Mei Jin (2 shared papers)Min Yang (15 shared papers)Bolin Liao (1 shared paper)Xiao‐Dong Li (10 shared papers)Ning Tan (7 shared papers)
In The Last Decade
Binbin Qiu
86 papers receiving 955 citations
Peers
Comparison fields: 5 of 72
- Control and Systems Engineering 660
- Computational Mathematics 7
- Artificial Intelligence 326
- Statistical and Nonlinear Physics 118
- Computer Vision and Pattern Recognition 133
Countries citing papers authored by Binbin Qiu
This map shows the geographic impact of Binbin Qiu'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 Binbin Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbin Qiu more than expected).
Fields of papers citing papers by Binbin Qiu
This network shows the impact of papers produced by Binbin Qiu. 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 Binbin Qiu. The network helps show where Binbin Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbin Qiu, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 99 | |
| 2 | 2018 | 70 | |
| 3 | 2016 | 58 | |
| 4 | 2015 | 49 | |
| 5 | 2018 | 45 | |
| 6 | 2020 | 44 | |
| 7 | 2019 | 40 | |
| 8 | 2017 | 40 | |
| 9 | 2020 | 27 | |
| 10 | 2022 | 23 | |
| 11 | 2023 | 23 | |
| 12 | 2020 | 23 | |
| 13 | 2017 | 23 | |
| 14 | 2019 | 23 | |
| 15 | 2019 | 22 | |
| 16 | 2020 | 21 | |
| 17 | 2019 | 17 | |
| 18 | 2018 | 17 | |
| 19 | 2016 | 17 | |
| 20 | 2020 | 15 |
About Binbin Qiu
Binbin Qiu is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Numerical Analysis and Statistical and Nonlinear Physics, having authored 91 papers that have together received 968 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (38 papers), Robotic Mechanisms and Dynamics (32 papers), Neural Networks and Applications (17 papers), Iterative Learning Control Systems (14 papers), Robotic Path Planning Algorithms (8 papers), Control and Dynamics of Mobile Robots (8 papers), Advanced Algorithms and Applications (6 papers) and Control Systems and Identification (6 papers). The work is most often cited by research in Control and Systems Engineering (660 citations), Computational Mathematics (7 citations), Artificial Intelligence (326 citations), Statistical and Nonlinear Physics (118 citations) and Computer Vision and Pattern Recognition (133 citations). Binbin Qiu has collaborated with scholars based in China, Hong Kong and Chile. Frequent co-authors include Yunong Zhang, Zhi Gang Yang, Jinjin Guo, Long Mei Jin, Min Yang, Bolin Liao, Xiao‐Dong Li, Ning Tan, Haifeng Hu and Dongsheng Guo. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Neurocomputing, IEEE Transactions on Industrial Electronics, Numerical Algorithms and Neural Computing and Applications.
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.