Guancheng Wang
Impact in
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- Robotic Mechanisms and Dynamics
- Control Systems and Identification
Papers in
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- Neural Networks and Applications 7
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- Control Systems and Identification 6
- Robotic Mechanisms and Dynamics 4
- Adaptive Control of Nonlinear Systems 3
- Co-authors
- Long Jin (5 shared papers)Xiuchun Xiao (9 shared papers)Yu Zhang (7 shared papers)Dongyang Fu (7 shared papers)Kaizheng Feng (6 shared papers)Zhihao Hao (8 shared papers)Haoan Wu (6 shared papers)Haoen Huang (8 shared papers)
In The Last Decade
Guancheng Wang
43 papers receiving 574 citations
Guancheng Wang's Hit Papers
Peers
Comparison fields: 5 of 102
- Computational Mathematics 7
- Control and Systems Engineering 156
- Statistical and Nonlinear Physics 60
- Artificial Intelligence 151
- Materials Chemistry 165
Countries citing papers authored by Guancheng Wang
This map shows the geographic impact of Guancheng 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 Guancheng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guancheng Wang more than expected).
Fields of papers citing papers by Guancheng Wang
This network shows the impact of papers produced by Guancheng 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 Guancheng Wang. The network helps show where Guancheng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guancheng 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
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Breaking the pH Limitation of Nanozymes: Mechanisms, Methods, and Applications Hit paper breakdown → | 2024 | 108 |
| 2 | 2019 | 52 | |
| 3 | 2024 | 50 | |
| 4 | 2021 | 33 | |
| 5 | 2020 | 30 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 20 | |
| 8 | 2020 | 20 | |
| 9 | 2023 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2019 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2022 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2020 | 13 | |
| 16 | 2018 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2020 | 10 | |
| 20 | 2022 | 10 |
About Guancheng Wang
Guancheng Wang is a scholar working on Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering, having authored 48 papers that have together received 579 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Control Systems and Identification (6 papers), Advanced Nanomaterials in Catalysis (6 papers), Nanocluster Synthesis and Applications (4 papers), Robotic Mechanisms and Dynamics (4 papers), Adaptive Control of Nonlinear Systems (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Model Reduction and Neural Networks (3 papers). The work is most often cited by research in Computational Mathematics (7 citations), Control and Systems Engineering (156 citations), Statistical and Nonlinear Physics (60 citations), Artificial Intelligence (151 citations) and Materials Chemistry (165 citations). Guancheng Wang has collaborated with scholars based in China, Macao and Canada. Frequent co-authors include Long Jin, Xiuchun Xiao, Yu Zhang, Dongyang Fu, Kaizheng Feng, Zhihao Hao, Haoan Wu, Haoen Huang, Bob Zhang and Shan Liao. Their work appears in journals such as Information Sciences, Expert Systems with Applications, Applied Intelligence, Neurocomputing and IEEE Access.
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.