Sung-Jung Cho

975 total citations
35 papers, 693 citations indexed

About

Sung-Jung Cho is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Sung-Jung Cho has authored 35 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Human-Computer Interaction, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Control and Systems Engineering. Recurrent topics in Sung-Jung Cho's work include Hand Gesture Recognition Systems (12 papers), Handwritten Text Recognition Techniques (8 papers) and Tactile and Sensory Interactions (6 papers). Sung-Jung Cho is often cited by papers focused on Hand Gesture Recognition Systems (12 papers), Handwritten Text Recognition Techniques (8 papers) and Tactile and Sensory Interactions (6 papers). Sung-Jung Cho collaborates with scholars based in South Korea, United States and United Kingdom. Sung-Jung Cho's co-authors include Wook Chang, Ga Eun Nam, Byoungduck Han, Won-Chul Bang, Yong Gyu Park, Kyungdo Han, Seon Mee Kim, Jing Yang, Eun-Seok Choi and Nan Hee Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and PLoS Medicine.

In The Last Decade

Sung-Jung Cho

33 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung-Jung Cho South Korea 18 262 175 128 97 69 35 693
Deepak Joshi India 17 45 0.2× 68 0.4× 103 0.8× 94 1.0× 58 0.8× 96 954
Masashi Okubo Japan 17 76 0.3× 59 0.3× 45 0.4× 44 0.5× 147 2.1× 100 1.1k
Wenpeng Gao China 14 41 0.2× 197 1.1× 86 0.7× 56 0.6× 45 0.7× 49 586
Evanthia E. Tripoliti Greece 16 117 0.4× 94 0.5× 171 1.3× 236 2.4× 10 0.1× 53 1.2k
Cristian Pasluosta Germany 17 37 0.1× 173 1.0× 178 1.4× 228 2.4× 39 0.6× 46 1.3k
Woei‐Chyn Chu Taiwan 16 65 0.2× 238 1.4× 108 0.8× 40 0.4× 9 0.1× 52 911
Michael Higgins United States 17 128 0.5× 127 0.7× 46 0.4× 191 2.0× 18 0.3× 58 1.3k
Chuang-Chien Chiu Taiwan 14 109 0.4× 102 0.6× 184 1.4× 25 0.3× 15 0.2× 31 670
Michael Tsang Canada 17 105 0.4× 166 0.9× 50 0.4× 18 0.2× 12 0.2× 65 1.1k

Countries citing papers authored by Sung-Jung Cho

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Jung Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Jung Cho. 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 Sung-Jung Cho. The network helps show where Sung-Jung Cho may publish in the future.

Co-authorship network of co-authors of Sung-Jung Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Jung Cho. A scholar is included among the top collaborators of Sung-Jung Cho 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 Sung-Jung Cho. Sung-Jung Cho 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.
Cho, Sung-Jung, et al.. (2021). Relationship between Mental Health Status of Teenagers and Academic Achievement: Korea Youth Risk Behavior Web-Based Survey, 2018. Korean Journal of Family Practice. 11(1). 46–51. 1 indexed citations
2.
Han, Byoungduck, et al.. (2021). Analysis of Body Fat Mass Index for Korean Adults. Korean Journal of Family Practice. 11(1). 81–85. 2 indexed citations
3.
Kim, Dahye, Ga Eun Nam, Kyungdo Han, et al.. (2020). Variabilities in Weight and Waist Circumference and Risk of Myocardial Infarction, Stroke, and Mortality: A Nationwide Cohort Study. Endocrinology and Metabolism. 35(4). 933–942. 19 indexed citations
4.
Kim, Changsoo, Ga Eun Nam, Byoungduck Han, et al.. (2019). Association between Nicotine Dependence and Depressive Mood among Patients of Smoking Cessation Clinic. Korean Journal of Family Practice. 9(2). 235–238. 1 indexed citations
5.
Nam, Ga Eun, Kyung-Hwan Cho, Kyungdo Han, et al.. (2019). Obesity, abdominal obesity and subsequent risk of kidney cancer: a cohort study of 23.3 million East Asians. British Journal of Cancer. 121(3). 271–277. 36 indexed citations
6.
Cho, Sung-Jung, et al.. (2019). Relationship between the Breakfast and Student’s Academic Achievement: Korea Youth Risk Behavior Web-based Survey, 2017. Korean Journal of Family Practice. 9(1). 71–74. 2 indexed citations
7.
Nam, Ga Eun, Seon Mee Kim, Kyungdo Han, et al.. (2018). Metabolic syndrome and risk of Parkinson disease: A nationwide cohort study. PLoS Medicine. 15(8). e1002640–e1002640. 111 indexed citations
8.
Nam, Ga Eun, Byoungduck Han, Sung-Jung Cho, et al.. (2018). Associations of mental health and sleep duration with menstrual cycle irregularity: a population-based study. Archives of Women s Mental Health. 21(6). 619–626. 37 indexed citations
9.
Shin, Jinyoung, Sung-Jung Cho, Jungkwon Lee, & Youn Seon Choi. (2017). Validation of the Korean Version of the Breakthrough Pain Assessment Tool in Cancer Patients. Journal of Pain and Symptom Management. 54(3). 361–367. 7 indexed citations
10.
Cho, Sung-Jung, et al.. (2007). Multi-context photo browsing on mobile devices based on tilt dynamics. 190–197. 22 indexed citations
11.
Bang, Won-Chul, et al.. (2006). A 3D Hand-drawn Gesture Input Device Using Fuzzy ARTMAP-based Recognizer. SHILAP Revista de lepidopterología. 10 indexed citations
12.
Kim, Kee-Eung, et al.. (2006). Hand grip pattern recognition for mobile user interfaces. Innovative Applications of Artificial Intelligence. 1789–1794. 53 indexed citations
13.
Chang, Wook, et al.. (2006). Recognition of Grip-Patterns by Using Capacitive Touch Sensors. 2936–2941. 25 indexed citations
14.
Cho, Sung-Jung, et al.. (2005). Two-stage Recognition of Raw Acceleration Signals for 3-D Gesture-Understanding Cell Phones. HAL (Le Centre pour la Communication Scientifique Directe). 27 indexed citations
15.
Choi, Eun-Seok, Wook Chang, Won-Chul Bang, et al.. (2004). Development of the gyro-free handwriting input device based on inertial navigation system (INS) theory. Society of Instrument and Control Engineers of Japan. 2. 1176–1181. 7 indexed citations
16.
Yang, Jing, Wook Chang, Won-Chul Bang, et al.. (2004). Analysis and compensation of errors in the input device based on inertial sensors. 790–796 Vol.2. 21 indexed citations
17.
Cho, Sung-Jung, et al.. (2004). Inertial Sensor Based Recognition of 3-D Character Gestures with an Ensemble of Classifiers. 112–117. 23 indexed citations
18.
Cho, Sung-Jung, Michael Perrone, & E. Ratzlaff. (2004). Probability table compression for handwritten character recognition. 1. 173–177. 2 indexed citations
19.
Chang, Wook, Jing Yang, Eun-Seok Choi, et al.. (2003). A miniaturized attitude estimation system for a gesture-based input device with fuzzy logic approach. 한국지능시스템학회 국제학술대회 발표논문집. 616–620. 3 indexed citations
20.
Cho, Sung-Jung & Jin Hee Kim. (2003). Bayesian network modeling of strokes and their relationships for on-line handwriting recognition. Pattern Recognition. 37(2). 253–264. 26 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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