Lark Kwon Choi
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Signal Processing top 5%
- Sociology and Political Science
- Atomic and Molecular Physics, and Optics
- Co-authors
- Alan C. BovikJaehee YouGustavo de VecianaAnush K. MoorthyLawrence K. CormackMargaret PinsonRobert W. HeathChunping Hou
- Topics
- Image and Video Quality Assessment (15 papers)Image Enhancement Techniques (7 papers)Visual perception and processing mechanisms (6 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Lark Kwon Choi
23 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 1.0k
- Media Technology 440
- Signal Processing 137
- Sociology and Political Science 41
- Atomic and Molecular Physics, and Optics 41
Countries citing papers authored by Lark Kwon Choi
This map shows the geographic impact of Lark Kwon Choi'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 Lark Kwon Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lark Kwon Choi more than expected).
Fields of papers citing papers by Lark Kwon Choi
This network shows the impact of papers produced by Lark Kwon Choi. 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 Lark Kwon Choi. The network helps show where Lark Kwon Choi may publish in the future.
Co-authorship network of co-authors of Lark Kwon Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Lark Kwon Choi. A scholar is included among the top collaborators of Lark Kwon Choi 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 Lark Kwon Choi. Lark Kwon Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 25 | |
| 4 | 12 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | Referenceless Prediction of Perceptual Fog Density and Perceptual Image Defoggingbreakdown → | 593 |
| 10 | 7 | |
| 11 | 17 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 47 | |
| 15 | Video QoE Models for the Compute Continuum | 3 |
| 16 | 10 | |
| 17 | 225 | |
| 18 | 11 | |
| 19 | 3 | |
| 20 | 7 |
About Lark Kwon Choi
Lark Kwon Choi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (15 papers), Image Enhancement Techniques (7 papers) and Visual perception and processing mechanisms (6 papers). The work is most often cited by research in Media Technology (440 citations), Computer Vision and Pattern Recognition (1.0k citations) and Signal Processing (137 citations). Lark Kwon Choi has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Alan C. Bovik, Jaehee You, Gustavo de Veciana, Anush K. Moorthy, Lawrence K. Cormack, Margaret Pinson, Robert W. Heath, Chunping Hou, Weiqing Yan and Tianwei Zhou. Their work appears in journals such as IEEE Transactions on Image Processing, Optics Letters and Journal of Vision.
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.