Hei Law

5.3k total citations · 1 hit paper
10 papers, 909 citations indexed

About

Hei Law is a scholar working on Computer Vision and Pattern Recognition, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hei Law has authored 10 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Surgery and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Hei Law's work include Advanced Image and Video Retrieval Techniques (4 papers), Surgical Simulation and Training (3 papers) and Advanced Neural Network Applications (2 papers). Hei Law is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Surgical Simulation and Training (3 papers) and Advanced Neural Network Applications (2 papers). Hei Law collaborates with scholars based in United States. Hei Law's co-authors include Jia Deng, Khurshid R. Ghani, Jia Deng, Ali H. Aldoukhi, Kristian M. Black, Alejandro Newell, Ankit Goyal, Lahav Lipson, Kaiyu Yang and Zeyu Ma and has published in prestigious journals such as The Journal of Urology, International Journal of Computer Vision and British Journal of Urology.

In The Last Decade

Hei Law

10 papers receiving 885 citations

Hit Papers

CornerNet: Detecting Objects as Paired Keypoints 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hei Law United States 6 616 153 152 98 80 10 909
Wenhui Li China 17 540 0.9× 65 0.4× 294 1.9× 91 0.9× 81 1.0× 101 1.0k
Haiying Liu China 12 471 0.8× 215 1.4× 84 0.6× 72 0.7× 183 2.3× 60 1.0k
Yalın Baştanlar Türkiye 13 413 0.7× 189 1.2× 111 0.7× 78 0.8× 29 0.4× 38 818
Shoubhik Debnath United States 5 320 0.5× 60 0.4× 147 1.0× 80 0.8× 47 0.6× 9 699
Désiré Sidibé France 19 798 1.3× 223 1.5× 203 1.3× 115 1.2× 194 2.4× 56 1.4k
Yangping Wang China 15 216 0.4× 144 0.9× 49 0.3× 84 0.9× 80 1.0× 75 835
David Acuna Canada 7 603 1.0× 63 0.4× 207 1.4× 126 1.3× 41 0.5× 13 867
Wenfeng Song China 16 406 0.7× 114 0.7× 268 1.8× 76 0.8× 63 0.8× 58 873
Mohamed El Ansari Morocco 19 553 0.9× 84 0.5× 193 1.3× 189 1.9× 14 0.2× 90 1.0k
Yongchao Xu China 16 1.5k 2.4× 264 1.7× 313 2.1× 594 6.1× 106 1.3× 44 1.8k

Countries citing papers authored by Hei Law

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Hei Law

This figure shows the co-authorship network connecting the top 25 collaborators of Hei Law. A scholar is included among the top collaborators of Hei 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 Hei Law. Hei Law is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Law, Hei & Jia Deng. (2024). Label-Free Synthetic Pretraining of Object Detectors. 935–945. 1 indexed citations
2.
Lipson, Lahav, Zeyu Ma, Yihan Wang, et al.. (2023). Infinite Photorealistic Worlds Using Procedural Generation. 12630–12641. 25 indexed citations
3.
Goyal, Ankit, et al.. (2021). Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline. arXiv (Cornell University). 3809–3820. 17 indexed citations
4.
Black, Kristian M., Hei Law, Ali H. Aldoukhi, Jia Deng, & Khurshid R. Ghani. (2020). Deep learning computer vision algorithm for detecting kidney stone composition. British Journal of Urology. 125(6). 920–924. 109 indexed citations
5.
Law, Hei, Yun Teng, Olga Russakovsky, & Jia Deng. (2020). CornerNet-Lite: Efficient Keypoint based Object Detection. 5 indexed citations
6.
Law, Hei & Jia Deng. (2019). CornerNet: Detecting Objects as Paired Keypoints. International Journal of Computer Vision. 128(3). 642–656. 722 indexed citations breakdown →
7.
Aldoukhi, Ali H., Hei Law, Kristian M. Black, et al.. (2019). PD04-06 DEEP LEARNING COMPUTER VISION ALGORITHM FOR DETECTING KIDNEY STONE COMPOSITION: TOWARDS AN AUTOMATED FUTURE. The Journal of Urology. 201(Supplement 4). 4 indexed citations
8.
Law, Hei, et al.. (2018). PD58-12 SURGEON TECHNICAL SKILL ASSESSMENT USING COMPUTER VISION-BASED ANALYSIS. The Journal of Urology. 199(4S). 4 indexed citations
9.
Law, Hei, Khurshid R. Ghani, & Jia Deng. (2017). Surgeon Technical Skill Assessment using Computer Vision based Analysis. 88–99. 18 indexed citations
10.
Ghani, Khurshid R., Yunfan Liu, Hei Law, et al.. (2017). PD46-04 VIDEO ANALYSIS OF SKILL AND TECHNIQUE (VAST): MACHINE LEARNING TO ASSESS SURGEONS PERFORMING ROBOTIC PROSTATECTOMY. The Journal of Urology. 197(4S). 4 indexed citations

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.

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