Hei Law
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Health Informatics top 10%
Papers in
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- Advanced Image and Video Retrieval Techniques 4
- Advanced Neural Network Applications 2
- Human Pose and Action Recognition 1
- Surgery 3
- Surgical Simulation and Training 3
- Co-authors
- Jia Deng (6 shared papers)Khurshid R. Ghani (5 shared papers)Jia Deng (4 shared papers)Ali H. Aldoukhi (2 shared papers)Kristian M. Black (2 shared papers)Alejandro Newell (2 shared papers)Ankit Goyal (2 shared papers)Kaiyu Yang (1 shared paper)
- Journals
- The Journal of Urology (3 papers)International Journal of Computer Vision (1 paper)British Journal of Urology (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United States
In The Last Decade
Hei Law
10 papers receiving 885 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 616
- Health Informatics 20
- Media Technology 98
- Industrial and Manufacturing Engineering 63
- Aerospace Engineering 153
Countries citing papers authored by Hei Law
This map shows the geographic impact of Hei 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 Hei Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hei Law more than expected).
Fields of papers citing papers by Hei Law
This network shows the impact of papers produced by Hei 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 Hei Law. The network helps show where Hei Law may publish in the future.
Co-authors
The 18 scholars most cited alongside Hei Law, 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 | CornerNet: Detecting Objects as Paired Keypoints Hit paper breakdown → | 2019 | 722 |
| 2 | 2020 | 109 | |
| 3 | 2023 | 25 | |
| 4 | Surgeon Technical Skill Assessment using Computer Vision based Analysis | 2017 | 18 |
| 5 | 2021 | 17 | |
| 6 | 2020 | 5 | |
| 7 | 2019 | 4 | |
| 8 | 2017 | 4 | |
| 9 | 2018 | 4 | |
| 10 | 2024 | 1 |
About Hei Law
Hei Law is a scholar working on Computer Vision and Pattern Recognition, Surgery, Pulmonary and Respiratory Medicine, Oncology and Health Informatics, having authored 10 papers that have together received 909 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Surgical Simulation and Training (3 papers), Advanced Neural Network Applications (2 papers), 3D Shape Modeling and Analysis (1 paper), Image Processing Techniques and Applications (1 paper), Anatomy and Medical Technology (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (616 citations), Health Informatics (20 citations), Media Technology (98 citations), Industrial and Manufacturing Engineering (63 citations) and Aerospace Engineering (153 citations). Hei Law has collaborated with scholars based in United States. Frequent co-authors include Jia Deng, Khurshid R. Ghani, Jia Deng, Ali H. Aldoukhi, Kristian M. Black, Alejandro Newell, Ankit Goyal, Kaiyu Yang, Lahav Lipson and Yihan Wang. Their work appears in journals such as The Journal of Urology, International Journal of Computer Vision, British Journal of Urology and arXiv (Cornell University).
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.