Binbin Qiu
Impact in
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- Robotic Mechanisms and Dynamics
- Iterative Learning Control Systems
- Adaptive Control of Nonlinear Systems
- Control Systems and Identification
Papers in
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- Adaptive Control of Nonlinear Systems 34
- Robotic Mechanisms and Dynamics 29
- Iterative Learning Control Systems 14
- Control and Dynamics of Mobile Robots 6
- Control Systems and Identification 6
- Advanced Control Systems Design 5
- Co-authors
- Yunong ZhangZhi YangJinjin GuoLong JinMin YangBolin LiaoJian LiXiao‐Dong Li
- Journals
- IEEE Transactions on Industrial Informatics (7 papers)IEEE Transactions on Industrial Electronics (3 papers)Numerical Algorithms (3 papers)Neurocomputing (3 papers)IEEE Transactions on Cybernetics (2 papers)
- Partner nations
- ChinaUnited StatesChile
In The Last Decade
Binbin Qiu
77 papers receiving 862 citations
Peers
Comparison fields: 5 of 69
- Control and Systems Engineering 627
- Computational Mathematics 7
- Artificial Intelligence 311
- Statistical and Nonlinear Physics 111
- Computer Vision and Pattern Recognition 130
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 8 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 3 | |
| 12 | 2020 | 1 | |
| 13 | 2019 | 37 | |
| 14 | 2019 | 3 | |
| 15 | 2017 | 23 | |
| 16 | 2017 | 40 | |
| 17 | 2017 | 11 | |
| 18 | 2016 | 4 | |
| 19 | 2016 | 2 | |
| 20 | 2015 | 4 |
About Binbin Qiu
Binbin Qiu is a scholar working on Control and Systems Engineering, Numerical Analysis, Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 83 papers that have together received 877 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (34 papers), Robotic Mechanisms and Dynamics (29 papers), Neural Networks and Applications (17 papers), Iterative Learning Control Systems (14 papers), Robotic Path Planning Algorithms (7 papers), Control and Dynamics of Mobile Robots (6 papers), Control Systems and Identification (6 papers) and Advanced Control Systems Design (5 papers). The work is most often cited by research in Control and Systems Engineering (627 citations), Computational Mathematics (7 citations), Artificial Intelligence (311 citations), Statistical and Nonlinear Physics (111 citations) and Computer Vision and Pattern Recognition (130 citations). Binbin Qiu has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Yunong Zhang, Zhi Yang, Jinjin Guo, Long Jin, Min Yang, Bolin Liao, Jian Li, Xiao‐Dong Li, Haifeng Hu and Xiao-Dong Li. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, Numerical Algorithms, Neurocomputing and IEEE Transactions on Cybernetics.
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.