Mun‐Taek Choi

2.0k total citations · 3 hit papers
42 papers, 1.3k citations indexed

About

Mun‐Taek Choi is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Mun‐Taek Choi has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Control and Systems Engineering and 9 papers in Biomedical Engineering. Recurrent topics in Mun‐Taek Choi's work include Video Surveillance and Tracking Methods (6 papers), Stroke Rehabilitation and Recovery (5 papers) and Robotics and Automated Systems (5 papers). Mun‐Taek Choi is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Stroke Rehabilitation and Recovery (5 papers) and Robotics and Automated Systems (5 papers). Mun‐Taek Choi collaborates with scholars based in South Korea, United States and Ethiopia. Mun‐Taek Choi's co-authors include Seung‐Moo Han, Mohammed A. Al‐masni, Mugahed A. Al–antari, Tae‐Seong Kim, Edwin Valarezo Añazco, Patricio Rivera, Tae‐Seong Kim, Jeongmin Park, Tae‐Yeon Kim and Munsang Kim and has published in prestigious journals such as Sensors, Gait & Posture and Journal of Sports Sciences.

In The Last Decade

Mun‐Taek Choi

38 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system

2018 345 citations Mohammed A. Al‐masni, Mugahed A. Al–antari et al. Computer Methods and Programs in Biomedicine profile →
Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks

2018 338 citations Mohammed A. Al‐masni, Mugahed A. Al–antari et al. Computer Methods and Programs in Biomedicine profile →
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification

2018 292 citations Mugahed A. Al–antari, Mohammed A. Al‐masni et al. International Journal of Medical Informatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mun‐Taek Choi South Korea	13	760	474	345	288	140	42	1.3k
Omneya Attallah Egypt	30	894 1.2×	839 1.8×	323 0.9×	149 0.5×	285 2.0×	72	1.9k
Shuihua Wang United Kingdom	20	502 0.7×	385 0.8×	417 1.2×	117 0.4×	128 0.9×	66	1.4k
Narendra D. Londhe India	25	438 0.6×	492 1.0×	256 0.7×	185 0.6×	151 1.1×	125	1.9k
R. Karthik India	21	421 0.6×	312 0.7×	295 0.9×	96 0.3×	141 1.0×	95	1.6k
Alper Baştürk Türkiye	22	602 0.8×	308 0.6×	531 1.5×	178 0.6×	140 1.0×	58	1.5k
Valery Naranjo Spain	25	588 0.8×	1.1k 2.4×	914 2.6×	202 0.7×	237 1.7×	155	2.3k
Mohammed A. Al‐masni South Korea	17	1.2k 1.6×	813 1.7×	443 1.3×	556 1.9×	196 1.4×	51	2.0k
Alex Noel Joseph Raj China	22	548 0.7×	440 0.9×	473 1.4×	94 0.3×	109 0.8×	84	1.4k
Mugahed A. Al–antari South Korea	24	1.6k 2.1×	1.1k 2.4×	508 1.5×	368 1.3×	211 1.5×	94	2.5k
Farhan Riaz Pakistan	16	336 0.4×	127 0.3×	317 0.9×	226 0.8×	120 0.9×	74	1.2k

Countries citing papers authored by Mun‐Taek Choi

Since Specialization

Citations

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

Fields of papers citing papers by Mun‐Taek Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mun‐Taek 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 Mun‐Taek Choi. The network helps show where Mun‐Taek Choi may publish in the future.

Co-authorship network of co-authors of Mun‐Taek Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Mun‐Taek Choi. A scholar is included among the top collaborators of Mun‐Taek 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 Mun‐Taek Choi. Mun‐Taek Choi 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

Kim, Gyeongmin, et al.. (2025). Deep Temporal Clustering for Long-Term Gait Recovery Patterns of Post-Stroke Patients using Joint Kinematic Data. 654–658. 1 indexed citations

Kim, Yun‐Hee, et al.. (2022). Pathological gait clustering in post-stroke patients using motion capture data. Gait & Posture. 94. 210–216. 21 indexed citations

Kim, Geon Ha, et al.. (2022). Identification of Geriatric Depression and Anxiety Using Activity Tracking Data and Minimal Geriatric Assessment Scales. Applied Sciences. 12(5). 2488–2488. 3 indexed citations

Choi, Mun‐Taek, et al.. (2022). Online Boosting-Based Target Identification among Similar Appearance for Person-Following Robots. Sensors. 22(21). 8422–8422. 5 indexed citations

Kim, Johanna Inhyang, et al.. (2021). A Novel Robot-Assisted Kinematic Measure for Children with Attention-Deficit/Hyperactivity Disorder: A Preliminary Study. Psychiatry Investigation. 18(7). 645–651. 4 indexed citations

Kim, Yun‐Hee, et al.. (2021). Gait Clustering Analysis in Patients after Stroke using Gait Kinematics Data. 2021 21st International Conference on Control, Automation and Systems (ICCAS). 1405–1409. 1 indexed citations

Kim, Min, et al.. (2021). Heterogeneous nuclear ribonucleoprotein A2/B1 regulates the ERK and p53/HDM2 signaling pathways to promote the survival, proliferation and migration of non‑small cell lung cancer cells. Oncology Reports. 46(2). 6 indexed citations

Jeong, Seung‐Hyun, et al.. (2020). Analysis of Health Insurance Big Data for Early Detection of Disabilities: Algorithm Development and Validation. JMIR Medical Informatics. 8(11). e19679–e19679. 5 indexed citations

Kim, Geon Ha, et al.. (2020). Binary-Relevance Classification of Depression and Anxiety in the Elderly Using Low-Cost Activity Trackers. Journal of Medical Imaging and Health Informatics. 10(6). 1423–1428. 2 indexed citations

10.

Rivera, Patricio, Edwin Valarezo Añazco, Mun‐Taek Choi, & Tae‐Seong Kim. (2019). Trilateral convolutional neural network for 3D shape reconstruction of objects from a single depth view. IET Image Processing. 13(13). 2457–2466. 4 indexed citations

11.

Al‐masni, Mohammed A., Mugahed A. Al–antari, Jeongmin Park, et al.. (2018). Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system. Computer Methods and Programs in Biomedicine. 157. 85–94. 345 indexed citations breakdown →

12.

Al–antari, Mugahed A., Mohammed A. Al‐masni, Mun‐Taek Choi, Seung‐Moo Han, & Tae‐Seong Kim. (2018). A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification. International Journal of Medical Informatics. 117. 44–54. 292 indexed citations breakdown →

13.

Al‐masni, Mohammed A., Mugahed A. Al–antari, Mun‐Taek Choi, Seung‐Moo Han, & Tae‐Seong Kim. (2018). Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks. Computer Methods and Programs in Biomedicine. 162. 221–231. 338 indexed citations breakdown →

14.

Kim, Tae Hyong, Ahnryul Choi, Mun‐Taek Choi, Joung Hwan Mun, & Hyunggun Kim. (2018). Structural design sensitivity analysis of an ultrasonically activated scalpel to improve contact pressure distribution. Journal of Mechanical Science and Technology. 32(11). 5533–5540. 3 indexed citations

15.

Rivera, Patricio, Edwin Valarezo Añazco, Mun‐Taek Choi, & Tae‐Seong Kim. (2017). Recognition of Human Hand Activities Based on a Single Wrist IMU Using Recurrent Neural Networks. 6(4). 114–118. 29 indexed citations

16.

Sim, Taeyong, et al.. (2017). Analysis of Pelvis-Thorax Coordination Patterns of Professional and Amateur Golfers during Golf Swing. Journal of Motor Behavior. 49(6). 668–674. 12 indexed citations

17.

Choi, Ahnryul, et al.. (2016). Inter-joint coordination between hips and trunk during downswings: Effects on the clubhead speed. Journal of Sports Sciences. 34(20). 1991–1997. 11 indexed citations

18.

Farooq, Faisal, et al.. (2012). Robust extraction of P300 using constrained ICA for BCI applications. Medical & Biological Engineering & Computing. 50(3). 231–241. 17 indexed citations

19.

Kim, Suntae, et al.. (2006). UML-based service robot software development. 534–543. 21 indexed citations

20.

Choi, Mun‐Taek & Henryk Flashner. (2000). Neural-network-based spacecraft attitude control. AIAA Guidance, Navigation, and Control Conference and Exhibit. 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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