Mun‐Taek Choi
Impact in
- Artificial Intelligence top 2%
- AI in cancer detection
- Health Informatics top 5%
Papers in
-
- Gaze Tracking and Assistive Technology 4
-
- Stroke Rehabilitation and Recovery 5
- Co-authors
- Seung‐Moo HanMohammed A. Al‐masniMugahed A. Al–antariTae‐Seong KimEdwin Valarezo AñazcoPatricio RiveraJeongmin ParkTae‐Yeon Kim
- Journals
- International Journal of Precision Engineering and Manufacturing (3 papers)Computer Methods and Programs in Biomedicine (2 papers)Journal of Intelligent & Robotic Systems (2 papers)Applied Sciences (2 papers)Sensors (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Mun‐Taek Choi
38 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 760
- Health Informatics 31
- Radiology, Nuclear Medicine and Imaging 474
- Computer Vision and Pattern Recognition 345
- Neurology 131
Countries citing papers authored by Mun‐Taek Choi
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
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-authors
The 25 scholars most cited alongside Mun‐Taek Choi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2022 | 21 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 4 | |
| 11 | Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system Hit paper breakdown → | 2018 | 345 |
| 12 | A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification Hit paper breakdown → | 2018 | 292 |
| 13 | Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks Hit paper breakdown → | 2018 | 338 |
| 14 | 2018 | 3 | |
| 15 | 2017 | 29 | |
| 16 | 2017 | 12 | |
| 17 | 2016 | 11 | |
| 18 | 2012 | 17 | |
| 19 | 2006 | 21 | |
| 20 | 2000 | 7 |
About Mun‐Taek Choi
Mun‐Taek Choi is a scholar working on Human-Computer Interaction, Rehabilitation, Computer Vision and Pattern Recognition, Control and Systems Engineering and Psychiatry and Mental health, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Stroke Rehabilitation and Recovery (5 papers), Robotics and Automated Systems (5 papers), Gaze Tracking and Assistive Technology (4 papers), Human Pose and Action Recognition (4 papers), Teleoperation and Haptic Systems (4 papers), Mechanics and Biomechanics Studies (3 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Artificial Intelligence (760 citations), Health Informatics (31 citations), Radiology, Nuclear Medicine and Imaging (474 citations), Computer Vision and Pattern Recognition (345 citations) and Neurology (131 citations). Mun‐Taek Choi has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent 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. Their work appears in journals such as International Journal of Precision Engineering and Manufacturing, Computer Methods and Programs in Biomedicine, Journal of Intelligent & Robotic Systems, Applied Sciences and Sensors.
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.