Bin Han
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Applied Mathematics top 5%
- Media Technology top 5%
- Signal Processing top 10%
- Topics
- Medical Image Segmentation Techniques (15 papers)Image and Signal Denoising Methods (15 papers)Machine Learning in Bioinformatics (10 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Bin Han
46 papers receiving 484 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 344
- Computational Mechanics 122
- Applied Mathematics 118
- Media Technology 107
- Signal Processing 49
Countries citing papers authored by Bin Han
This map shows the geographic impact of Bin Han'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 Bin Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Han more than expected).
Fields of papers citing papers by Bin Han
This network shows the impact of papers produced by Bin Han. 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 Bin Han. The network helps show where Bin Han may publish in the future.
Co-authorship network of co-authors of Bin Han
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Han. A scholar is included among the top collaborators of Bin Han 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 Bin Han. Bin Han 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 34 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 5 | |
| 17 | 12 | |
| 18 | 26 | |
| 19 | 76 | |
| 20 | 6 |
About Bin Han
Bin Han is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Applied Mathematics, having authored 51 papers that have together received 503 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (15 papers), Image and Signal Denoising Methods (15 papers) and Machine Learning in Bioinformatics (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (344 citations), Media Technology (107 citations) and Applied Mathematics (118 citations). Bin Han has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yiquan Wu, Angela Kunoth, Rong Qing Jia, Wolfgang Dahmen, Qingtang Jiang, Hui Ji, Lei Zhu, Lihua Li, Ilya O. Ryzhov and Boris Defourny. Their work appears in journals such as IEEE Access, Frontiers in Immunology and Journal of Computational Chemistry.
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.