Ming Ronnier Luo

1.5k citations
87 papers · 988 indexed · h-index 15

Ming Ronnier Luo

72 papers receiving 920 citations

Peers

Ming Ronnier Luo
Comparison fields: 5 of 129
  • Social Psychology 441
  • Atomic and Molecular Physics, and Optics 504
  • Computer Vision and Pattern Recognition 258
  • Sensory Systems 50
  • Cognitive Neuroscience 188
Replace Ming Ronnier Luo with:
Ming Ronnier Luo China
Rafael Huertas Spain
Vien Cheung United Kingdom
Shigeki Nakauchi Japan
Changjun Li China
Kevin Smet Belgium
Bei Xiao United States
Haisong Xu China
Péter Bodrogi Germany
Edul N. Dalal United States
Ming Ronnier Luo relative to Ming Ronnier Luo China Ming Ronnier Luo's profile →
Citations per field
00.5×1.5×1.9×
Ming Ronnier Luo · 1×
Citations per year

Countries citing papers authored by Ming Ronnier Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ronnier Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Ronnier Luo. 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 Ming Ronnier Luo. The network helps show where Ming Ronnier Luo may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20255
3 20250
4 20240
5 20230
6 20232
7 202314
8 20232
9 20220
10 20226
11 20223
12 20157
13
Package Design: Colour Harmony and Consumer Expectations
201426
14 201238
15 20084
16 200717
17
Indoor and outdoor air quality investigation at dormitory in the university in Beijing, China in the fall
20071
18 20064
19 200013
20
The CAM97s2 Model.
19996

About Ming Ronnier Luo

Ming Ronnier Luo is a scholar working on Social Psychology, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 87 papers that have together received 988 indexed citations. Recurring topics across this work include Color Science and Applications (58 papers), Color perception and design (49 papers), Visual perception and processing mechanisms (19 papers), Image Enhancement Techniques (15 papers), Impact of Light on Environment and Health (6 papers), Sensory Analysis and Statistical Methods (5 papers), Advanced Image Fusion Techniques (4 papers) and Multisensory perception and integration (4 papers). The work is most often cited by research in Social Psychology (441 citations), Atomic and Molecular Physics, and Optics (504 citations) and Computer Vision and Pattern Recognition (258 citations). Ming Ronnier Luo has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Li‐Chen Ou, Guihua Cui, Li‐Chen Ou, J. B. Hutchings, Changjun Li, Lindsay W. MacDonald, Manuel Melgosa, Haisong Xu, Haoxue Liu and Han Wang.

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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