Jung Soh
Impact in
- Human-Computer Interaction top 1%
- Hand Gesture Recognition Systems
- Pollution top 5%
- Microbial bioremediation and biosurfactants
Papers in
-
- Hand Gesture Recognition Systems 7
-
- Cell Image Analysis Techniques 5
- Co-authors
- Christoph W. SensenTomislav CernavaMartín GrubeGabriele BergHo‐Sub YoonHyun Seung YangArmin ErlacherXiaoli Dong
- Journals
- IEEE Transactions on Magnetics (6 papers)Journal of Biotechnology (4 papers)The ISME Journal (2 papers)Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2 papers)BMC Bioinformatics (2 papers)
- Partner nations
- CanadaSouth KoreaAustria
In The Last Decade
Jung Soh
57 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 134
- Human-Computer Interaction 236
- Pollution 167
- Computer Vision and Pattern Recognition 264
- Ecology, Evolution, Behavior and Systematics 243
- Plant Science 308
Countries citing papers authored by Jung Soh
This map shows the geographic impact of Jung Soh'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 Jung Soh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jung Soh more than expected).
Fields of papers citing papers by Jung Soh
This network shows the impact of papers produced by Jung Soh. 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 Jung Soh. The network helps show where Jung Soh may publish in the future.
Co-authors
The 25 scholars most cited alongside Jung Soh, 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 | 2024 | 3 | |
| 3 | 2023 | 6 | |
| 4 | 2020 | 12 | |
| 5 | 2019 | 91 | |
| 6 | 2016 | 24 | |
| 7 | 2016 | 4 | |
| 8 | 2015 | 54 | |
| 9 | 2014 | 20 | |
| 10 | 2013 | 52 | |
| 11 | 2012 | 10 | |
| 12 | 2011 | 7 | |
| 13 | 2011 | 1 | |
| 14 | 2010 | 2 | |
| 15 | 2009 | 4 | |
| 16 | Effects of final texture on magnetic induction in 3% Si-Fe strips | 2008 | 0 |
| 17 | 2008 | 4 | |
| 18 | 2008 | 3 | |
| 19 | Recognition of alphabetical hand gestures using hidden Markov model | 1999 | 9 |
| 20 | 1976 | 18 |
About Jung Soh
Jung Soh is a scholar working on Human-Computer Interaction, Biophysics, Computer Vision and Pattern Recognition, Anatomy and General Dentistry, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (7 papers), Magnetic Properties and Applications (7 papers), Hand Gesture Recognition Systems (7 papers), Genomics and Phylogenetic Studies (6 papers), Cell Image Analysis Techniques (5 papers), Medical Image Segmentation Techniques (4 papers), Face and Expression Recognition (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Human-Computer Interaction (236 citations), Pollution (167 citations), Computer Vision and Pattern Recognition (264 citations), Ecology, Evolution, Behavior and Systematics (243 citations) and Plant Science (308 citations). Jung Soh has collaborated with scholars based in Canada, South Korea and Austria. Frequent co-authors include Christoph W. Sensen, Tomislav Cernava, Martín Grube, Gabriele Berg, Ho‐Sub Yoon, Hyun Seung Yang, Armin Erlacher, Xiaoli Dong, Ines Aschenbrenner and Massimiliano Cardinale. Their work appears in journals such as IEEE Transactions on Magnetics, Journal of Biotechnology, The ISME Journal, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics and BMC Bioinformatics.
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.