Hong Yan
Impact in
- Computational Mathematics top 0.5%
-
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Handwritten Text Recognition Techniques
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
-
- Image Retrieval and Classification Techniques 91
- Medical Image Segmentation Techniques 61
- Face and Expression Recognition 60
- Advanced Image and Video Retrieval Techniques 46
- Handwritten Text Recognition Techniques 45
- Co-authors
- Alan Wee‐Chung LiewKin‐Man LamZheru ChiTuan D. PhamDao‐Qing DaiJohn J. HardingKai HuangDebby D. Wang
In The Last Decade
Hong Yan
900 papers receiving 17.0k citations
Hit Papers
Peers
Comparison fields: 5 of 226
- Computational Mathematics 256
- Computer Vision and Pattern Recognition 5.4k
- Media Technology 1.3k
- Cancer Research 1.3k
- Signal Processing 824
Countries citing papers authored by Hong Yan
This map shows the geographic impact of Hong Yan'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 Hong Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Yan more than expected).
Fields of papers citing papers by Hong Yan
This network shows the impact of papers produced by Hong Yan. 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 Hong Yan. The network helps show where Hong Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hong Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 15 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | Cortical thinning and flattening in schizophrenia and their unaffected parents | 2019 | 1 |
| 18 | 2018 | 14 | |
| 19 | 2016 | 12 | |
| 20 | 2016 | 9 |
About Hong Yan
Hong Yan is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Aging, Media Technology and Signal Processing, having authored 960 papers that have together received 17.8k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (91 papers), Gene expression and cancer classification (82 papers), Bioinformatics and Genomic Networks (63 papers), Medical Image Segmentation Techniques (61 papers), Face and Expression Recognition (60 papers), Machine Learning in Bioinformatics (52 papers), Advanced Image and Video Retrieval Techniques (46 papers) and Handwritten Text Recognition Techniques (45 papers). The work is most often cited by research in Computational Mathematics (256 citations), Computer Vision and Pattern Recognition (5.4k citations), Media Technology (1.3k citations), Cancer Research (1.3k citations) and Signal Processing (824 citations). Hong Yan has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Alan Wee‐Chung Liew, Kin‐Man Lam, Zheru Chi, Tuan D. Pham, Dao‐Qing Dai, John J. Harding, Kai Huang, Debby D. Wang, Le Ou-Yang and Xiao-Fei Zhang. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters, Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and BMC Bioinformatics.
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.