Oh‐Jin Kwon

2.1k total citations
66 papers, 881 citations indexed

About

Oh‐Jin Kwon is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Nuclear and High Energy Physics. According to data from OpenAlex, Oh‐Jin Kwon has authored 66 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 8 papers in Nuclear and High Energy Physics. Recurrent topics in Oh‐Jin Kwon's work include Advanced Data Compression Techniques (9 papers), Advanced Vision and Imaging (9 papers) and Magnetic confinement fusion research (8 papers). Oh‐Jin Kwon is often cited by papers focused on Advanced Data Compression Techniques (9 papers), Advanced Vision and Imaging (9 papers) and Magnetic confinement fusion research (8 papers). Oh‐Jin Kwon collaborates with scholars based in South Korea, United States and Bangladesh. Oh‐Jin Kwon's co-authors include Woon‐Hong Yeo, Sonain Jamil, Md. Jalil Piran, Dong Sup Lee, Woosik Lee, Huanyu Cheng, Ungyu Paik, John A. Rogers, Yonggang Huang and Jae‐Woong Jeong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Oh‐Jin Kwon

59 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oh‐Jin Kwon South Korea	13	284	216	164	110	104	66	881
Jin‐Ho Cho South Korea	17	228 0.8×	38 0.2×	138 0.8×	20 0.2×	130 1.3×	110	905
Nicolas Blanc Switzerland	18	295 1.0×	157 0.7×	68 0.4×	99 0.9×	561 5.4×	68	1.4k
Markus Scholz Germany	20	146 0.5×	160 0.7×	29 0.2×	16 0.1×	487 4.7×	80	1.1k
Young Kim South Korea	17	283 1.0×	214 1.0×	41 0.3×	39 0.4×	539 5.2×	99	1.3k
Xing Xiao China	24	78 0.3×	82 0.4×	137 0.8×	95 0.9×	233 2.2×	81	1.8k
Martin Schneider Germany	16	122 0.4×	82 0.4×	89 0.5×	20 0.2×	417 4.0×	99	952
Changliang Guo China	22	358 1.3×	561 2.6×	55 0.3×	57 0.5×	179 1.7×	66	1.5k
Jack R. Smith United States	19	192 0.7×	33 0.2×	390 2.4×	41 0.4×	125 1.2×	45	901
Albert Theuwissen Netherlands	25	494 1.7×	150 0.7×	15 0.1×	215 2.0×	1.6k 15.7×	133	2.0k
Damien P. Kelly Ireland	21	460 1.6×	571 2.6×	35 0.2×	33 0.3×	113 1.1×	84	1.4k

Countries citing papers authored by Oh‐Jin Kwon

Since Specialization

Citations

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

Fields of papers citing papers by Oh‐Jin Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oh‐Jin Kwon. 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 Oh‐Jin Kwon. The network helps show where Oh‐Jin Kwon may publish in the future.

Co-authorship network of co-authors of Oh‐Jin Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Oh‐Jin Kwon. A scholar is included among the top collaborators of Oh‐Jin Kwon 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 Oh‐Jin Kwon. Oh‐Jin Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yaseen, Yaseen, et al.. (2025). Vision-Based Gesture-Driven Drone Control in a Metaverse-Inspired 3D Simulation Environment. Drones. 9(2). 92–92. 1 indexed citations

Yaseen, Yaseen, et al.. (2025). Evaluation of Benchmark Datasets and Deep Learning Models with Pre-Trained Weights for Vision-Based Dynamic Hand Gesture Recognition. Applied Sciences. 15(11). 6045–6045. 1 indexed citations

Yaseen, Yaseen, et al.. (2024). Next-Gen Dynamic Hand Gesture Recognition: MediaPipe, Inception-v3 and LSTM-Based Enhanced Deep Learning Model. Electronics. 13(16). 3233–3233. 6 indexed citations

Jamil, Sonain, Md. Jalil Piran, MuhibUr Rahman, & Oh‐Jin Kwon. (2023). Learning-driven lossy image compression: A comprehensive survey. Engineering Applications of Artificial Intelligence. 123. 106361–106361. 37 indexed citations

Jamil, Sonain, et al.. (2023). A Novel Multimedia Player for International Standard—JPEG Snack. Journal of Imaging. 9(3). 58–58.

Afnan, Afnan, et al.. (2023). Subjective Assessment of Objective Image Quality Metrics Range Guaranteeing Visually Lossless Compression. Sensors. 23(3). 1297–1297. 7 indexed citations

Yaseen, Yaseen, et al.. (2023). Automatic Sequential Stitching of High-Resolution Panorama for Android Devices Using Precapture Feature Detection and the Orientation Sensor. Sensors. 23(2). 879–879. 1 indexed citations

Jamil, Sonain, Md. Jalil Piran, & Oh‐Jin Kwon. (2023). A Comprehensive Survey of Transformers for Computer Vision. Drones. 7(5). 287–287. 39 indexed citations

Kwon, Oh‐Jin, et al.. (2023). Cyber-Resilience Evaluation Methods Focusing on Response Time to Cyber Infringement. Sustainability. 15(18). 13404–13404. 3 indexed citations

10.

Lee, Dong-Min, Yun‐Hoa Jung, Oh‐Jin Kwon, et al.. (2023). Automated Detection of Periodontal Bone Loss Using Deep Learning and Panoramic Radiographs: A Convolutional Neural Network Approach. Applied Sciences. 13(9). 5261–5261. 22 indexed citations

11.

Arefin, Mohammad Shamsul, et al.. (2022). A Comprehensive Review on Big Data for Industries: Challenges and Opportunities. IEEE Access. 11. 744–769. 19 indexed citations

12.

Jamil, Sonain, et al.. (2022). Overview of JPEG Snack: A Novel International Standard for the Snack Culture. IEEE Access. 10. 133402–133411. 1 indexed citations

13.

Kwon, Oh‐Jin & Younghoon Kim. (2021). The Analysis of Problems with the Application of Related Laws in New Han-ok style Social Welfare Facilities. KIEAE Journal. 21(4). 61–71. 1 indexed citations

14.

Kwon, Oh‐Jin, et al.. (2021). Improved JPEG Coding by Filtering 8 × 8 DCT Blocks. Journal of Imaging. 7(7). 117–117. 4 indexed citations

15.

Kwon, Oh‐Jin, et al.. (2021). Generation of a Panorama Compatible with the JPEG 360 International Standard Using a Single PTZ Camera. Applied Sciences. 11(22). 11019–11019. 4 indexed citations

16.

Kim, Hyunwoo, et al.. (2017). Technology Convergence Map Creation and Country Profile Analysis in the Field of Artificial Intelligence. The Journal of the Korea institute of electronic communication sciences. 12(1). 139–146. 1 indexed citations

17.

Lee, Woosik, Oh‐Jin Kwon, Dong Sup Lee, & Woon‐Hong Yeo. (2015). Fabrication and Characterization of a Conformal Skin-like Electronic System for Quantitative, Cutaneous Wound Management. Journal of Visualized Experiments. 6 indexed citations

18.

Kwon, Oh‐Jin, et al.. (2012). Binary Image Watermarking with Tampering Localization in Binary Wavelet Transform Domain. 7(2). 341–346. 2 indexed citations

19.

Kwon, Oh‐Jin, et al.. (2011). A practical system for detecting obscene videos. IEEE Transactions on Consumer Electronics. 57(2). 646–650. 10 indexed citations

20.

Kwon, Oh‐Jin & Rama Chellappa. (1998). Region adaptive subband image coding. IEEE Transactions on Image Processing. 7(5). 632–648. 15 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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