Hanqing Zeng
- Hardware and Architecture top 5%
-
- Graph Theory and Algorithms 8
- Advanced Neural Network Applications 6
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks 10
- Domain Adaptation and Few-Shot Learning 3
- Machine Learning and ELM 2
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- Ferroelectric and Negative Capacitance Devices 4
- CCD and CMOS Imaging Sensors 3
- Advanced Memory and Neural Computing 3
- Co-authors
- Viktor K. PrasannaBingyi ZhangRajgopal KannanChi ZhangAjitesh SrivastavaHongkuan ZhouKenneth B. KentSheng Zhong
- Journals
- ACM Transactions on Reconfigurable Technology and Systems (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)IEEE Transactions on Control Systems Technology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Hanqing Zeng
21 papers receiving 540 citations
Peers
Comparison fields: 5 of 48
- Hardware and Architecture 206
- Computer Vision and Pattern Recognition 228
- Artificial Intelligence 227
- Computer Networks and Communications 109
- Electrical and Electronic Engineering 272
Countries citing papers authored by Hanqing Zeng
This map shows the geographic impact of Hanqing Zeng'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 Hanqing Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanqing Zeng more than expected).
Fields of papers citing papers by Hanqing Zeng
This network shows the impact of papers produced by Hanqing Zeng. 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 Hanqing Zeng. The network helps show where Hanqing Zeng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hanqing Zeng, 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 | 4 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 17 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 35 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 53 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 43 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 8 | |
| 17 | 2018 | 29 | |
| 18 | 2017 | 16 | |
| 19 | 2017 | 15 | |
| 20 | 2002 | 32 |
About Hanqing Zeng
Hanqing Zeng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 22 papers that have together received 554 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (10 papers), Graph Theory and Algorithms (8 papers), Advanced Neural Network Applications (6 papers), Ferroelectric and Negative Capacitance Devices (4 papers), CCD and CMOS Imaging Sensors (3 papers), Advanced Memory and Neural Computing (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Hardware and Architecture (206 citations), Computer Vision and Pattern Recognition (228 citations) and Artificial Intelligence (227 citations). Hanqing Zeng has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Viktor K. Prasanna, Bingyi Zhang, Rajgopal Kannan, Chi Zhang, Ajitesh Srivastava, Hongkuan Zhou, Kenneth B. Kent, Sheng Zhong, Jason Luu and Vaughn Betz. Their work appears in journals such as ACM Transactions on Reconfigurable Technology and Systems, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Control Systems Technology, Journal of Parallel and Distributed Computing and Proceedings of the VLDB Endowment.
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.