Heechul Jung
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
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- Emotion and Mood Recognition
Papers in
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- Advanced Neural Network Applications 14
- Video Surveillance and Tracking Methods 10
- Advanced Image and Video Retrieval Techniques 7
- Face and Expression Recognition 6
- Advanced Vision and Imaging 5
Heechul Jung
44 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computer Vision and Pattern Recognition 976
- Experimental and Cognitive Psychology 476
- Human-Computer Interaction 75
- Artificial Intelligence 379
- Signal Processing 119
Countries citing papers authored by Heechul Jung
This map shows the geographic impact of Heechul Jung'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 Heechul Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heechul Jung more than expected).
Fields of papers citing papers by Heechul Jung
This network shows the impact of papers produced by Heechul Jung. 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 Heechul Jung. The network helps show where Heechul Jung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heechul Jung, 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 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 26 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 0 | |
| 14 | 2021 | 56 | |
| 15 | 2021 | 14 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 31 | |
| 18 | 2018 | 9 | |
| 19 | Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition Hit paper breakdown → | 2015 | 521 |
| 20 | A Case of Aortoesophageal Fistula Complicated by a Stent for Benign Esophageal Stricture | 2010 | 0 |
About Heechul Jung
Heechul Jung is a scholar working on Computer Vision and Pattern Recognition, Gastroenterology, Artificial Intelligence, Media Technology and Human-Computer Interaction, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (14 papers), Video Surveillance and Tracking Methods (10 papers), Domain Adaptation and Few-Shot Learning (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Face and Expression Recognition (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (976 citations), Experimental and Cognitive Psychology (476 citations), Human-Computer Interaction (75 citations), Artificial Intelligence (379 citations) and Signal Processing (119 citations). Heechul Jung has collaborated with scholars based in South Korea, Canada and United Kingdom. Frequent co-authors include Junmo Kim, Junho Yim, Sihaeng Lee, Wonjun Hwang, Jaemin Na, Hyung Jin Chang, ByungIn Yoo, Du‐Sik Park, Jae‐Mo Kang and Chaehyeon Lee. Their work appears in journals such as Applied Sciences, IEEE Access, Sensors, Information Sciences and Scientific Reports.
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.