Hongkuan Zhou
- Artificial Intelligence top 10%
- Advanced Graph Neural Networks 4
- Topic Modeling 2
- Control and Systems Engineering top 10%
- Fault Detection and Control Systems 3
- Machine Fault Diagnosis Techniques 2
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- Graph Theory and Algorithms 3
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- Ferroelectric and Negative Capacitance Devices 2
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- Hydraulic and Pneumatic Systems 2
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- Cavitation Phenomena in Pumps 1
- Co-authors
- Rajgopal KannanAjitesh SrivastavaGang TangHanqing ZengYining DongViktor K. PrasannaViktor PrasannaGeorge Karypis
- Cited by
- Artificial IntelligenceControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- Proceedings of the VLDB Endowment (2 papers)IEEE Transactions on Instrumentation and Measurement (1 paper)Journal of Parallel and Distributed Computing (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hongkuan Zhou
12 papers receiving 231 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 134
- Control and Systems Engineering 82
- Computer Vision and Pattern Recognition 65
- Statistical and Nonlinear Physics 22
- Computer Networks and Communications 31
Countries citing papers authored by Hongkuan Zhou
This map shows the geographic impact of Hongkuan Zhou'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 Hongkuan Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongkuan Zhou more than expected).
Fields of papers citing papers by Hongkuan Zhou
This network shows the impact of papers produced by Hongkuan Zhou. 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 Hongkuan Zhou. The network helps show where Hongkuan Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hongkuan Zhou, 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 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 30 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 44 | |
| 9 | 2021 | 35 | |
| 10 | 2021 | 64 | |
| 11 | 2020 | 4 | |
| 12 | 2020 | 2 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 43 |
About Hongkuan Zhou
Hongkuan Zhou is a scholar working on Control and Systems Engineering, Radiological and Ultrasound Technology and Artificial Intelligence, having authored 14 papers that have together received 235 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (4 papers), Graph Theory and Algorithms (3 papers), Fault Detection and Control Systems (3 papers), Topic Modeling (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Machine Fault Diagnosis Techniques (2 papers), Hydraulic and Pneumatic Systems (2 papers) and Cavitation Phenomena in Pumps (1 paper). The work is most often cited by research in Artificial Intelligence (134 citations), Control and Systems Engineering (82 citations) and Computer Vision and Pattern Recognition (65 citations). Hongkuan Zhou has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Rajgopal Kannan, Ajitesh Srivastava, Gang Tang, Hanqing Zeng, Yining Dong, Viktor K. Prasanna, Viktor Prasanna, George Karypis, Xiang Song and Da Zheng. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Instrumentation and Measurement, Journal of Parallel and Distributed Computing, IEEE Access 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.