Myung Jin Kim
- Human-Computer Interaction top 2%
- Virtual Reality Applications and Impacts 6
- Interactive and Immersive Displays 4
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions 10
- Visual perception and processing mechanisms 2
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- Teleoperation and Haptic Systems 4
- Coal Combustion and Slurry Processing 2
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- Anomaly Detection Techniques and Applications 4
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- Cavitation Phenomena in Pumps 2
- Co-authors
- Andrea BianchiSung‐Ho BaeWoojin LeeXing-Dong YangPedro LopesByungjoo LeeTae‐Wook KimHeung Cho Ko
- Journals
- Chemical Engineering Science (2 papers)Chemical Engineering and Processing - Process Intensification (1 paper)Scientific Reports (1 paper)
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Myung Jin Kim
25 papers receiving 346 citations
Peers
Comparison fields: 5 of 56
- Human-Computer Interaction 148
- Cognitive Neuroscience 148
- Computer Vision and Pattern Recognition 104
- Mechanical Engineering 98
- Signal Processing 24
Countries citing papers authored by Myung Jin Kim
This map shows the geographic impact of Myung Jin Kim'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 Myung Jin Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myung Jin Kim more than expected).
Fields of papers citing papers by Myung Jin Kim
This network shows the impact of papers produced by Myung Jin Kim. 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 Myung Jin Kim. The network helps show where Myung Jin Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Myung Jin Kim, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 28 | |
| 11 | 2020 | 21 | |
| 12 | 2019 | 70 | |
| 13 | 2018 | 38 | |
| 14 | 2013 | 56 | |
| 15 | 2013 | 6 | |
| 16 | 2012 | 8 | |
| 17 | 2009 | 2 | |
| 18 | Idiopathic new bone formation in the femoral shafts of a cynomolgus monkey (Macaca fascicularis). | 2008 | 3 |
| 19 | 1985 | 1 | |
| 20 | 1984 | 4 |
About Myung Jin Kim
Myung Jin Kim is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 352 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (10 papers), Virtual Reality Applications and Impacts (6 papers), Teleoperation and Haptic Systems (4 papers), Interactive and Immersive Displays (4 papers), Anomaly Detection Techniques and Applications (4 papers), Cavitation Phenomena in Pumps (2 papers), Visual perception and processing mechanisms (2 papers) and Coal Combustion and Slurry Processing (2 papers). The work is most often cited by research in Human-Computer Interaction (148 citations), Cognitive Neuroscience (148 citations) and Computer Vision and Pattern Recognition (104 citations). Myung Jin Kim has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Andrea Bianchi, Sung‐Ho Bae, Woojin Lee, Xing-Dong Yang, Pedro Lopes, Byungjoo Lee, Tae‐Wook Kim, Heung Cho Ko, Moon‐Ho Ham and Myungwoo Son. Their work appears in journals such as Chemical Engineering Science, Chemical Engineering and Processing - Process Intensification, Scientific Reports, Optical and Quantum Electronics and ACS Macro Letters.
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.