He Zhu
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Artificial Intelligence top 5%
- AI in cancer detection
- Logic, programming, and type systems
Papers in
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- Logic, programming, and type systems 3
-
- Software Engineering Research 6
- Co-authors
- Ming‐Wei Lin (3 shared papers)Fayadh Alenezi (2 shared papers)Adi Alhudhaif (2 shared papers)Suresh Jagannathan (6 shared papers)Zhiqiang Yao (1 shared paper)Zeshui Xu (1 shared paper)Hong Chen (1 shared paper)S. Magill (2 shared papers)
- Journals
- International Journal of Thermal Sciences (3 papers)ACM SIGPLAN Notices (3 papers)Proceedings of the ACM on Programming Languages (2 papers)Case Studies in Thermal Engineering (1 paper)Genome biology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
He Zhu
37 papers receiving 490 citations
Peers
Comparison fields: 5 of 80
- Software 44
- Artificial Intelligence 239
- Computer Vision and Pattern Recognition 99
- Safety, Risk, Reliability and Quality 42
- Media Technology 37
Countries citing papers authored by He Zhu
This map shows the geographic impact of He Zhu'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 He Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Zhu more than expected).
Fields of papers citing papers by He Zhu
This network shows the impact of papers produced by He Zhu. 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 He Zhu. The network helps show where He Zhu may publish in the future.
Co-authors
The 25 scholars most cited alongside He Zhu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 111 | |
| 2 | 2023 | 69 | |
| 3 | 2023 | 46 | |
| 4 | 2014 | 32 | |
| 5 | 2018 | 32 | |
| 6 | 2021 | 30 | |
| 7 | 2020 | 21 | |
| 8 | 2022 | 20 | |
| 9 | 2018 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2022 | 13 | |
| 12 | 2015 | 12 | |
| 13 | 2016 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2018 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2009 | 5 | |
| 20 | 2015 | 4 |
About He Zhu
He Zhu is a scholar working on Artificial Intelligence, Information Systems, Software, Global and Planetary Change and Environmental Engineering, having authored 42 papers that have together received 502 indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Software Testing and Debugging Techniques (5 papers), Formal Methods in Verification (5 papers), Fire dynamics and safety research (4 papers), Logic, programming, and type systems (3 papers), Remote Sensing in Agriculture (3 papers), Model-Driven Software Engineering Techniques (3 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Software (44 citations), Artificial Intelligence (239 citations), Computer Vision and Pattern Recognition (99 citations), Safety, Risk, Reliability and Quality (42 citations) and Media Technology (37 citations). He Zhu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ming‐Wei Lin, Fayadh Alenezi, Adi Alhudhaif, Suresh Jagannathan, Zhiqiang Yao, Zeshui Xu, Hong Chen, S. Magill, Kemal Polat and Yixia Chen. Their work appears in journals such as International Journal of Thermal Sciences, ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Case Studies in Thermal Engineering and Genome biology.
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.