Chen Change Loy: h-index, Total Citations, and Citation Map
Chen Change Loy's h-index is 114 (285 i10-index, 134,177+ total citations across 614+ publications) according to Google Scholar as of September 2026. Chen Change Loy is affiliated with Tan Lip-Bu Professor in Artificial Intelligence, MMLab@NTU, S-Lab, Nanyang Technological University.
Chen Change Loy is a researcher affiliated with Tan Lip-Bu Professor in Artificial Intelligence, MMLab@NTU, S-Lab, Nanyang Technological University, specializing in AI & Machine Learning. Their work has been cited 134,177 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Chen Change Loy's Citation Metrics
Bibliometric impact based on 614 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 114
- i10-Index
- 285
- Total Citations
- 134,177
- Citing Countries
- 92
As of September 2026.
Chen Change Loy has an h-index of 114 and 134,177 total citations across 614 publications, with research cited by institutions in 92 countries.
Global Impact Map
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Image Super-Resolution Using Deep Convolutional Networks
201512,681
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Chen Change Loy's research
Chen Change Loy is a researcher in AI & Machine Learning at Tan Lip-Bu Professor in Artificial Intelligence, MMLab@NTU, S-Lab, Nanyang Technological University. Their work has been cited 134,177 times across 614 publications (h-index 114), according to Google Scholar.
Their most-cited work, “Image Super-Resolution Using Deep Convolutional Networks” (2015), has accumulated 12,681 citations. Other influential works include “Learning a Deep Convolutional Network for Image Super-Resolution” (2014) with 5,528 citations and “ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks” (2019) with 3,828 citations.
Citations of Chen Change Loy's research come primarily from China, United States and Singapore, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
