Lark Kwon Choi

1.4k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Lark Kwon Choi is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Lark Kwon Choi has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 6 papers in Cognitive Neuroscience and 5 papers in Media Technology. Recurrent topics in Lark Kwon Choi's work include Image and Video Quality Assessment (15 papers), Image Enhancement Techniques (7 papers) and Visual perception and processing mechanisms (6 papers). Lark Kwon Choi is often cited by papers focused on Image and Video Quality Assessment (15 papers), Image Enhancement Techniques (7 papers) and Visual perception and processing mechanisms (6 papers). Lark Kwon Choi collaborates with scholars based in United States, South Korea and China. Lark Kwon Choi's co-authors include Alan C. Bovik, Jaehee You, Gustavo de Veciana, Anush K. Moorthy, Lawrence K. Cormack, Margaret Pinson, Tianwei Zhou, Weiqing Yan, Chunping Hou and Chao Chen and has published in prestigious journals such as IEEE Transactions on Image Processing, Optics Letters and Journal of Vision.

In The Last Decade

Lark Kwon Choi

23 papers receiving 1.0k citations

Hit Papers

Referenceless Prediction ... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lark Kwon Choi United States 11 1.0k 440 137 41 41 24 1.1k
Anish Mittal United States 10 1.1k 1.1× 596 1.4× 72 0.5× 11 0.3× 74 1.8× 19 1.2k
Lutz Goldmann Switzerland 13 457 0.5× 131 0.3× 106 0.8× 26 0.6× 16 0.4× 41 507
Benny Lövström Sweden 9 481 0.5× 229 0.5× 100 0.7× 16 0.4× 9 0.2× 19 562
Susu Yao Singapore 13 559 0.6× 110 0.3× 155 1.1× 18 0.4× 35 0.9× 39 627
Philippe Hanhart Switzerland 17 765 0.8× 101 0.2× 304 2.2× 22 0.5× 132 3.2× 52 858
S. Yao Singapore 7 472 0.5× 140 0.3× 93 0.7× 16 0.4× 53 1.3× 24 505
Paulo Nunes Portugal 15 687 0.7× 197 0.4× 232 1.7× 7 0.2× 19 0.5× 56 738
Shyh-Yih Ma Taiwan 10 589 0.6× 71 0.2× 322 2.4× 25 0.6× 4 0.1× 17 727
Jiheng Wang Canada 13 410 0.4× 234 0.5× 49 0.4× 6 0.1× 20 0.5× 25 478
Chun-Hsien Chou Taiwan 11 834 0.8× 144 0.3× 160 1.2× 6 0.1× 97 2.4× 29 879

Countries citing papers authored by Lark Kwon Choi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Hong, Suk Young, et al.. (2024). History, Status, and Prospects of Remote Sensing in Agriculture in Republic of Korea. Korean Journal of Remote Sensing. 40(5-2). 769–781. 1 indexed citations
3.
Hou, Chunping, et al.. (2018). Blind quality assessment for screen content images via convolutional neural network. Digital Signal Processing. 91. 21–30. 24 indexed citations
4.
Choi, Lark Kwon & Alan C. Bovik. (2018). Video quality assessment accounting for temporal visual masking of local flicker. Signal Processing Image Communication. 67. 182–198. 25 indexed citations
5.
Choi, Lark Kwon, et al.. (2017). A methodology for perceptual image quality assessment of smartphone cameras – color quality. Electronic Imaging. 29(12). 95–99. 1 indexed citations
6.
Choi, Lark Kwon, et al.. (2017). Perceptual quality evaluation of synthetic pictures distorted by compression and transmission. Signal Processing Image Communication. 61. 54–72. 12 indexed citations
7.
Choi, Lark Kwon & Alan C. Bovik. (2016). Perceptual Flicker Visibility Prediction Model. Electronic Imaging. 28(16). 1–6. 4 indexed citations
8.
Choi, Lark Kwon, Alan C. Bovik, & Lawrence K. Cormack. (2016). The effect of eccentricity and spatiotemporal energy on motion silencing. Journal of Vision. 16(5). 19–19. 3 indexed citations
9.
Choi, Lark Kwon, Jaehee You, & Alan C. Bovik. (2015). Referenceless Prediction of Perceptual Fog Density and Perceptual Image Defogging. IEEE Transactions on Image Processing. 24(11). 3888–3901. 593 indexed citations breakdown →
10.
Choi, Lark Kwon, Lawrence K. Cormack, & Alan C. Bovik. (2015). Motion silencing of flicker distortions on naturalistic videos. Signal Processing Image Communication. 39. 328–341. 12 indexed citations
11.
Choi, Lark Kwon, Lawrence K. Cormack, & Alan C. Bovik. (2015). Eccentricity effect of motion silencing on naturalistic videos. 1190–1194. 7 indexed citations
12.
Choi, Lark Kwon, Jaehee You, & Alan C. Bovik. (2014). Referenceless perceptual image defogging. 165–168. 13 indexed citations
13.
Choi, Lark Kwon, Lawrence K. Cormack, & Alan C. Bovik. (2014). Visibility prediction of flicker distortions on naturalistic videos. 2014 48th Asilomar Conference on Signals, Systems and Computers. 60. 1542–1546. 1 indexed citations
14.
Pinson, Margaret, Lark Kwon Choi, & Alan C. Bovik. (2014). Temporal Video Quality Model Accounting for Variable Frame Delay Distortions. IEEE Transactions on Broadcasting. 60(4). 637–649. 47 indexed citations
15.
Choi, Lark Kwon, Jaehee You, & Alan C. Bovik. (2014). Referenceless perceptual fog density prediction model. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9014. 90140H–90140H. 17 indexed citations
16.
Choi, Lark Kwon, Yiting Liao, & Alan C. Bovik. (2013). Video QoE Models for the Compute Continuum. 3 indexed citations
17.
Moorthy, Anush K., Lark Kwon Choi, Alan C. Bovik, & Gustavo de Veciana. (2012). Video Quality Assessment on Mobile Devices: Subjective, Behavioral and Objective Studies. IEEE Journal of Selected Topics in Signal Processing. 6(6). 652–671. 225 indexed citations
18.
Choi, Lark Kwon, Alan C. Bovik, & Lawrence K. Cormack. (2012). A Flicker Detector Model of the Motion Silencing Illusion. Journal of Vision. 12(9). 777–777. 11 indexed citations
19.
Choi, Lark Kwon, Pilhan Kim, Jaehyoung Park, J. Park, & Namkyoo Park. (2005). Adiabatic, closed-form approach to the highly efficient analysis of a fiber Raman amplifier problem. Optics Letters. 30(2). 126–126. 3 indexed citations
20.
Park, Namkyoo, Pilhan Kim, Jaehyoung Park, & Lark Kwon Choi. (2005). Integral form expansion of fiber Raman amplifier problem. Optical Fiber Technology. 11(2). 111–130. 7 indexed citations

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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