Zhuolun He
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Co-authors
- Bei YuYuzhe MaSu ZhengXinyun ZhangXufeng YaoHaoyu YangLu ZhangWei Li
- Topics
- VLSI and FPGA Design Techniques (7 papers)Machine Learning in Materials Science (5 papers)VLSI and Analog Circuit Testing (5 papers)
- Journals
- IEEE Transactions on Neural Networks and Learning SystemsIEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsFrontiers in Environmental Science
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Zhuolun He
31 papers receiving 318 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Electrical and Electronic Engineering 129
- Hardware and Architecture 108
- Artificial Intelligence 92
- Computer Vision and Pattern Recognition 52
- Computer Networks and Communications 22
Countries citing papers authored by Zhuolun He
This map shows the geographic impact of Zhuolun He'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 Zhuolun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuolun He more than expected).
Fields of papers citing papers by Zhuolun He
This network shows the impact of papers produced by Zhuolun He. 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 Zhuolun He. The network helps show where Zhuolun He may publish in the future.
Co-authorship network of co-authors of Zhuolun He
This figure shows the co-authorship network connecting the top 25 collaborators of Zhuolun He. A scholar is included among the top collaborators of Zhuolun He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhuolun He. Zhuolun He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | ChatEDA: A Large Language Model Powered Autonomous Agent for EDAbreakdown → | 51 |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 33 | |
| 16 | 6 | |
| 17 | 17 | |
| 18 | 9 | |
| 19 | 4 | |
| 20 | 17 |
About Zhuolun He
Zhuolun He is a scholar working on Computational Mathematics, Hardware and Architecture and Artificial Intelligence, having authored 39 papers that have together received 324 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (7 papers), Machine Learning in Materials Science (5 papers) and VLSI and Analog Circuit Testing (5 papers). The work is most often cited by research in Hardware and Architecture (108 citations), Software (18 citations) and Computational Mathematics (2 citations). Zhuolun He has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Bei Yu, Yuzhe Ma, Su Zheng, Xinyun Zhang, Xufeng Yao, Haoyu Yang, Lu Zhang, Wei Li, Guojie Luo and Peiyu Liao. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Frontiers in Environmental Science.
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.