Jonghoon Jin
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
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- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 4
- Video Surveillance and Tracking Methods 2
- Advanced Data Compression Techniques 1
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- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Eugenio Culurciello (7 shared papers)Ayşegül Dündar (7 shared papers)Berin Martini (4 shared papers)Vinayak Gokhale (3 shared papers)Clément Farabet (1 shared paper)Masafumi OKADA (1 shared paper)Jin-Sung L. Kim (1 shared paper)T.D. Gedeon (1 shared paper)
- Journals
- Electronics (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)International Conference on Learning Representations (1 paper)The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) (1 paper)Journal of Society of Korea Industrial and Systems Engineering (1 paper)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Jonghoon Jin
9 papers receiving 420 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 324
- Hardware and Architecture 59
- Electrical and Electronic Engineering 245
- Artificial Intelligence 122
- Computational Mathematics 2
Countries citing papers authored by Jonghoon Jin
This map shows the geographic impact of Jonghoon Jin'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 Jonghoon Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonghoon Jin more than expected).
Fields of papers citing papers by Jonghoon Jin
This network shows the impact of papers produced by Jonghoon Jin. 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 Jonghoon Jin. The network helps show where Jonghoon Jin may publish in the future.
Co-authors
The 8 scholars most cited alongside Jonghoon Jin, 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 | 2014 | 241 | |
| 2 | 2016 | 94 | |
| 3 | 2014 | 32 | |
| 4 | 2013 | 25 | |
| 5 | 2014 | 19 | |
| 6 | Flattened Convolutional Neural Networks for Feedforward Acceleration | 2014 | 16 |
| 7 | 2013 | 6 | |
| 8 | 2002 | 1 | |
| 9 | 2015 | 1 | |
| 10 | 2021 | 0 | |
| 11 | 2025 | 0 |
About Jonghoon Jin
Jonghoon Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Statistics, Probability and Uncertainty and Hardware and Architecture, having authored 11 papers that have together received 435 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), CCD and CMOS Imaging Sensors (2 papers), Robotics and Sensor-Based Localization (2 papers), Video Surveillance and Tracking Methods (2 papers), Advanced Data Compression Techniques (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (324 citations), Hardware and Architecture (59 citations), Electrical and Electronic Engineering (245 citations), Artificial Intelligence (122 citations) and Computational Mathematics (2 citations). Jonghoon Jin has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Eugenio Culurciello, Ayşegül Dündar, Berin Martini, Vinayak Gokhale, Clément Farabet, Masafumi OKADA, Jin-Sung L. Kim and T.D. Gedeon. Their work appears in journals such as Electronics, IEEE Transactions on Neural Networks and Learning Systems, International Conference on Learning Representations, The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) and Journal of Society of Korea Industrial and Systems Engineering.
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.