Min Han
Impact in
- Artificial Intelligence top 0.2%
- Neural Networks and Applications
- Machine Learning and ELM
- Neural Networks and Reservoir Computing
- Control and Systems Engineering top 0.5%
- Fault Detection and Control Systems
- Adaptive Control of Nonlinear Systems
Papers in
-
- Neural Networks and Applications 88
- Machine Learning and ELM 40
- Neural Networks and Reservoir Computing 36
-
- Advanced Algorithms and Applications 32
- Fault Detection and Control Systems 25
- Co-authors
- Meiling Xu (24 shared papers)Tie Qiu (25 shared papers)Jun Wang (14 shared papers)Ning Wang (11 shared papers)Weijie Ren (24 shared papers)Kai Zhong (12 shared papers)Meng Joo Er (6 shared papers)Zhiwei Shi (4 shared papers)
- Journals
- Neurocomputing (18 papers)IEEE Transactions on Neural Networks and Learning Systems (12 papers)IEEE Transactions on Cybernetics (11 papers)Engineering Applications of Artificial Intelligence (6 papers)IEEE Transactions on Industrial Informatics (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Min Han
305 papers receiving 6.3k citations
Min Han's Hit Papers
Peers
Comparison fields: 5 of 171
- Artificial Intelligence 2.7k
- Control and Systems Engineering 1.6k
- Signal Processing 603
- Media Technology 489
- Computer Vision and Pattern Recognition 955
Countries citing papers authored by Min Han
This map shows the geographic impact of Min Han'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 Min Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Han more than expected).
Fields of papers citing papers by Min Han
This network shows the impact of papers produced by Min Han. 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 Min Han. The network helps show where Min Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Han, 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 317 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Output-Feedback Cooperative Formation Maneuvering of Autonomous Surface Vehicles With Connectivity Preservation and Collision Avoidance Hit paper breakdown → | 2019 | 331 |
| 2 | 2012 | 269 | |
| 3 | 2018 | 207 | |
| 4 | 2007 | 201 | |
| 5 | 2004 | 178 | |
| 6 | 2014 | 169 | |
| 7 | 2018 | 166 | |
| 8 | 2019 | 128 | |
| 9 | 2006 | 112 | |
| 10 | 2018 | 111 | |
| 11 | 2014 | 107 | |
| 12 | 2018 | 106 | |
| 13 | 2016 | 103 | |
| 14 | 2014 | 93 | |
| 15 | 2017 | 92 | |
| 16 | 2009 | 88 | |
| 17 | 2018 | 87 | |
| 18 | 2017 | 73 | |
| 19 | 2020 | 73 | |
| 20 | 2018 | 72 |
About Min Han
Min Han is a scholar working on Artificial Intelligence, Control and Systems Engineering, Signal Processing, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 317 papers that have together received 6.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (88 papers), Machine Learning and ELM (40 papers), Neural Networks and Reservoir Computing (36 papers), Advanced Algorithms and Applications (32 papers), Remote-Sensing Image Classification (27 papers), Fault Detection and Control Systems (25 papers), Blind Source Separation Techniques (24 papers) and Advanced Memory and Neural Computing (20 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Control and Systems Engineering (1.6k citations), Signal Processing (603 citations), Media Technology (489 citations) and Computer Vision and Pattern Recognition (955 citations). Min Han has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Meiling Xu, Tie Qiu, Jun Wang, Ning Wang, Weijie Ren, Kai Zhong, Meng Joo Er, Zhiwei Shi, Xinying Wang and C. L. Philip Chen. Their work appears in journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, Engineering Applications of Artificial Intelligence and IEEE Transactions on Industrial Informatics.
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.