Cong Wang
- Control and Systems Engineering top 0.5%
- Fault Detection and Control Systems 36
- Adaptive Control of Nonlinear Systems 34
- Control Systems and Identification 20
- Iterative Learning Control Systems 14
- Machine Fault Diagnosis Techniques 11
- Human-Computer Interaction top 5%
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- Human Pose and Action Recognition 10
- Artificial Intelligence top 5%
- Neural Networks and Applications 33
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- Gait Recognition and Analysis 11
- Co-authors
- Shi‐Lu DaiWei ZengMin WangTianrui ChenDavid J. HillFei LuoFang ZhangMuqing Deng
- Cited by
- Control and Systems EngineeringHuman-Computer InteractionComputational Theory and Mathematics
- Journals
- Neurocomputing (7 papers)Journal of the Franklin Institute (6 papers)IEEE Transactions on Neural Networks and Learning Systems (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Cong Wang
150 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Control and Systems Engineering 1.4k
- Human-Computer Interaction 128
- Computational Theory and Mathematics 325
- Computer Vision and Pattern Recognition 306
- Artificial Intelligence 473
Countries citing papers authored by Cong Wang
This map shows the geographic impact of Cong Wang'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 Cong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Wang more than expected).
Fields of papers citing papers by Cong Wang
This network shows the impact of papers produced by Cong Wang. 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 Cong Wang. The network helps show where Cong Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cong Wang, 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 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2018 | 11 | |
| 12 | 2018 | 7 | |
| 13 | 2016 | 4 | |
| 14 | HARDWARE/SOFTWARE PARTITIONING ALGORITHM BASED ON THE COMBINATION OF GENETIC ALGORITHM AND TABU SEARCH | 2014 | 12 |
| 15 | Triangulation-based localization algorithm over complex 3D terrains | 2013 | 0 |
| 16 | 2013 | 1 | |
| 17 | 2012 | 27 | |
| 18 | Deterministic learning from NN output feedback control of Brunovsky systems | 2011 | 0 |
| 19 | 2010 | 22 | |
| 20 | 2009 | 69 |
About Cong Wang
Cong Wang is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Statistical and Nonlinear Physics, having authored 164 papers that have together received 3.0k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (36 papers), Adaptive Control of Nonlinear Systems (34 papers), Neural Networks and Applications (33 papers), Control Systems and Identification (20 papers), Iterative Learning Control Systems (14 papers), Machine Fault Diagnosis Techniques (11 papers), Gait Recognition and Analysis (11 papers) and Human Pose and Action Recognition (10 papers). The work is most often cited by research in Control and Systems Engineering (1.4k citations), Human-Computer Interaction (128 citations), Computational Theory and Mathematics (325 citations), Computer Vision and Pattern Recognition (306 citations) and Artificial Intelligence (473 citations). Cong Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shi‐Lu Dai, Wei Zeng, Min Wang, Tianrui Chen, David J. Hill, Fei Luo, Fang Zhang, Muqing Deng, Tengfei Liu and Daoliang Li. Their work appears in journals such as Neurocomputing, Journal of the Franklin Institute, IEEE Transactions on Neural Networks and Learning Systems, Science China Information Sciences and Neural Networks.
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.