Stanley H. Chan
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 0.5%
- Biomedical Engineering top 10%
- Computational Mechanics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Truong Q. NguyenRamsin KhoshabehKristofor B. GibsonPhilip E. GillJoon Hee ChoiChengxi LiTodd ZicklerYue Lu
- Topics
- Advanced Image Processing Techniques (34 papers)Image and Signal Denoising Methods (28 papers)Advanced Image Fusion Techniques (17 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceThe Journal of Physical Chemistry CIEEE Transactions on Image Processing
- Partner nations
- United StatesHong KongJapan
In The Last Decade
Stanley H. Chan
89 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 1.0k
- Media Technology 577
- Biomedical Engineering 293
- Computational Mechanics 258
- Electrical and Electronic Engineering 185
Countries citing papers authored by Stanley H. Chan
This map shows the geographic impact of Stanley H. Chan'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 Stanley H. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanley H. Chan more than expected).
Fields of papers citing papers by Stanley H. Chan
This network shows the impact of papers produced by Stanley H. Chan. 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 Stanley H. Chan. The network helps show where Stanley H. Chan may publish in the future.
Co-authorship network of co-authors of Stanley H. Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Stanley H. Chan. A scholar is included among the top collaborators of Stanley H. Chan 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 Stanley H. Chan. Stanley H. Chan 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 | 1 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 8 | |
| 13 | 17 | |
| 14 | 6 | |
| 15 | 36 | |
| 16 | One Size Fits All: Can We Train One Denoiser for All Noise Levels? | 2 |
| 17 | 11 | |
| 18 | Directional decomposition based total variation image restoration | 1 |
| 19 | 19 | |
| 20 | 37 |
About Stanley H. Chan
Stanley H. Chan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Instrumentation, having authored 95 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (34 papers), Image and Signal Denoising Methods (28 papers) and Advanced Image Fusion Techniques (17 papers). The work is most often cited by research in Media Technology (577 citations), Computer Vision and Pattern Recognition (1.0k citations) and Instrumentation (113 citations). Stanley H. Chan has collaborated with scholars based in United States, Hong Kong and Japan. Frequent co-authors include Truong Q. Nguyen, Ramsin Khoshabeh, Kristofor B. Gibson, Philip E. Gill, Joon Hee Choi, Chengxi Li, Todd Zickler, Yue Lu, Jiaju Ma and Yi‐Ting Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Physical Chemistry C and IEEE Transactions on Image Processing.
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.