Pheng‐Ann Heng

54.2k citations
535 papers · 22.8k indexed · 18 hit papers · h-index 71

Pheng‐Ann Heng

506 papers receiving 22.2k citations

Hit Papers

A Survey on Gen...192201620262019202250010001.5k

Peers

Pheng‐Ann Heng
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
Replace Aditya Khosla with:
Aditya Khosla United States
Hao Su China
Dragomir Anguelov United States
Nassir Navab Germany
Alexander C. Berg United States
Jing Qin China
Max A. Viergever Netherlands
Nicholas Ayache France
Sergey Ioffe United States
Pheng‐Ann Heng relative to Aditya Khosla United States Aditya Khosla's profile →
Citations per field
00.5×1.7×
Aditya Khosla · 1×
Citations per year

Countries citing papers authored by Pheng‐Ann Heng

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Pheng‐Ann Heng Line = papers co-authored together Pheng‐Ann Heng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20243
4 20242
5 20249
6 20228
7 202234
8 202147
9 2020110
10 202041
11 202064
12 202016
13 2019118
14
PU-GAN: A Point Cloud Upsampling Adversarial Networkbreakdown →
2019287
15 201966
16 201955
17 2019199
18 2017108
19 201210
20 199814

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.

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