Ming Ronnier Luo
- Atomic and Molecular Physics, and Optics top 5%
- Computer Vision and Pattern Recognition top 5%
- Social Psychology top 5%
- Cognitive Neuroscience top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Guowei HongPeter A. RhodesChangjun LiGuihua CuiKaida XiaoMichael PointerR. W. G. HuntManuel Melgosa
- Topics
- Color Science and Applications (67 papers)Color perception and design (50 papers)Visual perception and processing mechanisms (22 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsComputer Vision and Pattern RecognitionSocial Psychology
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Ming Ronnier Luo
72 papers receiving 778 citations
Peers
Comparison fields: 5 of 96
- Atomic and Molecular Physics, and Optics 544
- Computer Vision and Pattern Recognition 303
- Social Psychology 282
- Cognitive Neuroscience 173
- Industrial and Manufacturing Engineering 83
Countries citing papers authored by Ming Ronnier Luo
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
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 of co-authors of Ming Ronnier Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ronnier Luo. A scholar is included among the top collaborators of Ming Ronnier Luo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Ronnier Luo. Ming Ronnier Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | A New Colour Gamut for Object Colours. | 3 |
| 14 | 5 | |
| 15 | Assessing colour differences with different magnitudes | 0 |
| 16 | 8 | |
| 17 | Colour-Difference Evaluation Using Colour Appearance Models. | 6 |
| 18 | 2 | |
| 19 | 9 | |
| 20 | 3 |
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 85 papers that have together received 853 indexed citations. Recurring topics across this work include Color Science and Applications (67 papers), Color perception and design (50 papers) and Visual perception and processing mechanisms (22 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (544 citations), Computer Vision and Pattern Recognition (303 citations) and Social Psychology (282 citations). Ming Ronnier Luo has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Guowei Hong, Peter A. Rhodes, Changjun Li, Guihua Cui, Kaida Xiao, Michael Pointer, R. W. G. Hunt, Manuel Melgosa, Yaoju Zhang and Haisong Xu. Their work appears in journals such as Journal of the American Ceramic Society, Optics Letters and Optics Express.
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.