Pheng‐Ann Heng
- Computer Vision and Pattern Recognition top 0.02%
- Medical Image Segmentation Techniques 76
- Advanced Vision and Imaging 57
- Advanced Neural Network Applications 51
- Advanced Image and Video Retrieval Techniques 37
-
- Computer Graphics and Visualization Techniques 76
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Radiomics and Machine Learning in Medical Imaging 39
- Health Informatics top 0.2%
- Artificial Intelligence top 0.05%
- AI in cancer detection 35
-
- 3D Shape Modeling and Analysis 70
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignRadiology, Nuclear Medicine and Imaging
- Journals
- Nature Communications (2 papers)SHILAP Revista de lepidopterología (3 papers)PLoS ONE (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Pheng‐Ann Heng
506 papers receiving 22.2k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Computer Vision and Pattern Recognition 11.5k
- Computer Graphics and Computer-Aided Design 1.1k
- Radiology, Nuclear Medicine and Imaging 6.8k
- Health Informatics 371
- Artificial Intelligence 7.1k
Countries citing papers authored by Pheng‐Ann Heng
This map shows the geographic impact of Pheng‐Ann Heng'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 Pheng‐Ann Heng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pheng‐Ann Heng more than expected).
Fields of papers citing papers by Pheng‐Ann Heng
This network shows the impact of papers produced by Pheng‐Ann Heng. 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 Pheng‐Ann Heng. The network helps show where Pheng‐Ann Heng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pheng‐Ann Heng, 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 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 34 | |
| 8 | 2021 | 47 | |
| 9 | 2020 | 110 | |
| 10 | 2020 | 41 | |
| 11 | 2020 | 64 | |
| 12 | 2020 | 16 | |
| 13 | 2019 | 118 | |
| 14 | PU-GAN: A Point Cloud Upsampling Adversarial Networkbreakdown → | 2019 | 287 |
| 15 | 2019 | 66 | |
| 16 | 2019 | 55 | |
| 17 | 2019 | 199 | |
| 18 | 2017 | 108 | |
| 19 | 2012 | 10 | |
| 20 | 1998 | 14 |
About Pheng‐Ann Heng
Pheng‐Ann Heng is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 535 papers that have together received 22.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (76 papers), Computer Graphics and Visualization Techniques (76 papers), 3D Shape Modeling and Analysis (70 papers), Advanced Vision and Imaging (57 papers), Advanced Neural Network Applications (51 papers), Radiomics and Machine Learning in Medical Imaging (39 papers), Advanced Image and Video Retrieval Techniques (37 papers) and AI in cancer detection (35 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (11.5k citations), Computer Graphics and Computer-Aided Design (1.1k citations) and Radiology, Nuclear Medicine and Imaging (6.8k citations). Pheng‐Ann Heng has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Hao Chen, Qi Dou, Jing Qin, Chi‐Wing Fu, Lequan Yu, Xiaojuan Qi, Xiaomeng Li, Xiaowei Hu, Tien‐Tsin Wong and Lei Zhu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.