Max W. K. Law
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Cardiology and Cardiovascular Medicine
- Co-authors
- Albert C. S. ChungShuo LiAlbert K. ChungGregory J. GarvinIsmail Ben AyedAndrew LeungAashish GoelaTerry M. Peters
- Topics
- Medical Image Segmentation Techniques (12 papers)Retinal Imaging and Analysis (4 papers)Advanced MRI Techniques and Applications (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingMedia Technology
In The Last Decade
Max W. K. Law
16 papers receiving 292 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 162
- Radiology, Nuclear Medicine and Imaging 121
- Biomedical Engineering 96
- Pulmonary and Respiratory Medicine 42
- Cardiology and Cardiovascular Medicine 40
Countries citing papers authored by Max W. K. Law
This map shows the geographic impact of Max W. K. Law'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 Max W. K. Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max W. K. Law more than expected).
Fields of papers citing papers by Max W. K. Law
This network shows the impact of papers produced by Max W. K. Law. 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 Max W. K. Law. The network helps show where Max W. K. Law may publish in the future.
Co-authorship network of co-authors of Max W. K. Law
This figure shows the co-authorship network connecting the top 25 collaborators of Max W. K. Law. A scholar is included among the top collaborators of Max W. K. Law 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 Max W. K. Law. Max W. K. Law is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 10 | |
| 3 | 24 | |
| 4 | 27 | |
| 5 | 43 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | An oriented flux symmetry based active contour model for three dimensional vessel segmentation | 3 |
| 10 | 17 | |
| 11 | 35 | |
| 12 | 13 | |
| 13 | 48 | |
| 14 | 10 | |
| 15 | Minimal Weighted Local Variance as Edge Detector for Active Contour Models | 3 |
| 16 | Combining microscopic and macroscopic information for rotation and histogram equalization invariant texture classification | 5 |
| 17 | 4 |
About Max W. K. Law
Max W. K. Law is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 17 papers that have together received 310 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Retinal Imaging and Analysis (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Radiology, Nuclear Medicine and Imaging (121 citations) and Media Technology (31 citations). Max W. K. Law has collaborated with scholars based in Hong Kong, Canada and Spain. Frequent co-authors include Albert C. S. Chung, Shuo Li, Albert K. Chung, Gregory J. Garvin, Ismail Ben Ayed, Andrew Leung, Aashish Goela, Terry M. Peters, Kumaradevan Punithakumar and Ali Islam. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.
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.