Henghui Zhu
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Molecular Biology
- Co-authors
- Jinhu LüKexin LiuBing XiangRamesh NallapatiDejiao ZhangKathleen McKeownCícero Nogueira dos SantosIoannis Ch. Paschalidis
- Topics
- Topic Modeling (25 papers)Natural Language Processing Techniques (23 papers)Distributed Control Multi-Agent Systems (10 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Henghui Zhu
45 papers receiving 804 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 511
- Computer Networks and Communications 237
- Computer Vision and Pattern Recognition 118
- Control and Systems Engineering 97
- Molecular Biology 75
Countries citing papers authored by Henghui Zhu
This map shows the geographic impact of Henghui 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 Henghui Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henghui Zhu more than expected).
Fields of papers citing papers by Henghui Zhu
This network shows the impact of papers produced by Henghui 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 Henghui Zhu. The network helps show where Henghui Zhu may publish in the future.
Co-authorship network of co-authors of Henghui Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Henghui Zhu. A scholar is included among the top collaborators of Henghui Zhu 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 Henghui Zhu. Henghui Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 118 | |
| 7 | 13 | |
| 8 | 68 | |
| 9 | 19 | |
| 10 | 5 | |
| 11 | 36 | |
| 12 | Unsupervised Domain Adaptation for Cross-lingual Text Labeling. | 4 |
| 13 | 29 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | Context-Driven Concept Annotation in Radiology Reports: Anatomical Phrase Labeling. | 3 |
| 17 | 14 | |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 29 |
About Henghui Zhu
Henghui Zhu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 837 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Natural Language Processing Techniques (23 papers) and Distributed Control Multi-Agent Systems (10 papers). The work is most often cited by research in Artificial Intelligence (511 citations), Health Informatics (15 citations) and Computer Networks and Communications (237 citations). Henghui Zhu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Jinhu Lü, Kexin Liu, Bing Xiang, Ramesh Nallapati, Dejiao Zhang, Kathleen McKeown, Cícero Nogueira dos Santos, Ioannis Ch. Paschalidis, Shang-Wen Li and Andrew O. Arnold. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and PLoS Computational 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.