Honghui Mei
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Molecular Biology
- Sociology and Political Science
- Co-authors
- Wei ChenDeqing LiShuang SuJunting WangYi ShenWenli ZhangLiu RenPanpan Xu
- Topics
- Data Visualization and Analytics (12 papers)Video Analysis and Summarization (6 papers)Multimedia Communication and Technology (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Visualization and Computer GraphicsJournal of Visual Languages & ComputingJournal of Visualization
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Honghui Mei
14 papers receiving 598 citations
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 389
- Artificial Intelligence 166
- Signal Processing 80
- Molecular Biology 61
- Sociology and Political Science 60
Countries citing papers authored by Honghui Mei
This map shows the geographic impact of Honghui Mei'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 Honghui Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Honghui Mei more than expected).
Fields of papers citing papers by Honghui Mei
This network shows the impact of papers produced by Honghui Mei. 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 Honghui Mei. The network helps show where Honghui Mei may publish in the future.
Co-authorship network of co-authors of Honghui Mei
This figure shows the co-authorship network connecting the top 25 collaborators of Honghui Mei. A scholar is included among the top collaborators of Honghui Mei 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 Honghui Mei. Honghui Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 4 | |
| 3 | 25 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 13 | |
| 7 | 18 | |
| 8 | 27 | |
| 9 | 207 | |
| 10 | 49 | |
| 11 | 98 | |
| 12 | 54 | |
| 13 | 1 | |
| 14 | 78 |
About Honghui Mei
Honghui Mei is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 14 papers that have together received 611 indexed citations. Recurring topics across this work include Data Visualization and Analytics (12 papers), Video Analysis and Summarization (6 papers) and Multimedia Communication and Technology (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (389 citations), Signal Processing (80 citations) and Computer Graphics and Computer-Aided Design (23 citations). Honghui Mei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Chen, Deqing Li, Shuang Su, Junting Wang, Yi Shen, Wenli Zhang, Liu Ren, Panpan Xu, Yuxin Ma and Kwan‐Liu Ma. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of Visual Languages & Computing and Journal of Visualization.
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.