Changjun Li

114 papers receiving 1.5k citations

Peers

Changjun Li
Comparison fields: 5 of 127
  • Atomic and Molecular Physics, and Optics 1.1k
  • Social Psychology 621
  • Computer Vision and Pattern Recognition 620
  • Cognitive Neuroscience 423
  • Media Technology 167
Replace Robert W. G. Hunt with:
Robert W. G. Hunt United Kingdom
Ming Ronnier Luo China
Ming Ronnier Luo China
B. Rigg United Kingdom
Javier Romero Spain
Joyce Farrell United States
William A. Thornton United States
Juan L. Nieves Spain
Haisong Xu China
Jozef Cohen United States
Changjun Li relative to Robert W. G. Hunt United Kingdom Robert W. G. Hunt's profile →
Citations per field
00.5×4.2×
Robert W. G. Hunt · 1×
Citations per year

Countries citing papers authored by Changjun Li

Since Specialization
Citations

This map shows the geographic impact of Changjun Li'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 Changjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changjun Li more than expected).

Fields of papers citing papers by Changjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changjun Li. 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 Changjun Li. The network helps show where Changjun Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Changjun Li, 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 Changjun Li Line = papers co-authored together Changjun Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006225
2
The CIECAM02 color appearance model
2002201
3 2017157
4 200582
5 200175
6 201665
7 201145
8 201645
9 201535
10 201931
11 201122
12 201622
13 202121
14 202020
15 201019
16 202318
17 202018
18 200717
19 200217
20 201317

About Changjun Li

Changjun Li is a scholar working on Atomic and Molecular Physics, and Optics, Social Psychology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Cognitive Neuroscience, having authored 129 papers that have together received 1.6k indexed citations. Recurring topics across this work include Color Science and Applications (78 papers), Color perception and design (43 papers), Image Enhancement Techniques (31 papers), Visual perception and processing mechanisms (15 papers), Matrix Theory and Algorithms (14 papers), Industrial Vision Systems and Defect Detection (13 papers), Electromagnetic Scattering and Analysis (6 papers) and Optical Imaging and Spectroscopy Techniques (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.1k citations), Social Psychology (621 citations), Computer Vision and Pattern Recognition (620 citations), Cognitive Neuroscience (423 citations) and Media Technology (167 citations). Changjun Li has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Ming Ronnier Luo, Guihua Cui, Robert W. G. Hunt, Michael Pointer, Manuel Melgosa, Kaida Xiao, Todd Newman, Mark D. Fairchild, Nathan Moroney and Ming Ronnier Luo. Their work appears in journals such as Color Research & Application, Optics Express, Coloration Technology, Journal of Imaging Science and Technology and Dental Materials.

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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