Jeonghong Kim
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Computer Networks and Communications
- Information Systems top 10%
- Co-authors
- Bekhzod OlimovAnand PaulMohammed MarayKil-Houm ParkSadia DinJae-Soo KimSang‐Chul KimKalyana C. Veluvolu
- Topics
- Advanced Neural Network Applications (7 papers)Anomaly Detection Techniques and Applications (6 papers)Domain Adaptation and Few-Shot Learning (5 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Partner nations
- South KoreaSingaporePakistan
In The Last Decade
Jeonghong Kim
24 papers receiving 399 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 132
- Computer Vision and Pattern Recognition 113
- Human-Computer Interaction 58
- Computer Networks and Communications 56
- Information Systems 47
Countries citing papers authored by Jeonghong Kim
This map shows the geographic impact of Jeonghong 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 Jeonghong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeonghong Kim more than expected).
Fields of papers citing papers by Jeonghong Kim
This network shows the impact of papers produced by Jeonghong 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 Jeonghong Kim. The network helps show where Jeonghong Kim may publish in the future.
Co-authorship network of co-authors of Jeonghong Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Jeonghong Kim. A scholar is included among the top collaborators of Jeonghong Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeonghong Kim. Jeonghong Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 46 | |
| 6 | 65 | |
| 7 | 29 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 31 | |
| 11 | 17 | |
| 12 | 1 | |
| 13 | 26 | |
| 14 | 2 | |
| 15 | 35 | |
| 16 | 35 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | An Empirical Analysis of Characteristics and Job Creations in Technology-based Start-ups | 1 |
| 20 | Broadcasting based on Selfish Probability in Mobile Ad Hoc Networks | 1 |
About Jeonghong Kim
Jeonghong Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 27 papers that have together received 416 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Anomaly Detection Techniques and Applications (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Human-Computer Interaction (58 citations), Computer Vision and Pattern Recognition (113 citations) and Industrial and Manufacturing Engineering (46 citations). Jeonghong Kim has collaborated with scholars based in South Korea, Singapore and Pakistan. Frequent co-authors include Bekhzod Olimov, Anand Paul, Anand Paul, Mohammed Maray, Kil-Houm Park, Sadia Din, Jae-Soo Kim, Sang‐Chul Kim, Kalyana C. Veluvolu and Abdul Rehman. Their work appears in journals such as Scientific Reports, IEEE Access and Computers & Industrial 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.