Hyung Jin Chang
- Computer Vision and Pattern Recognition top 0.5%
- Control and Systems Engineering top 2%
- Human-Computer Interaction top 0.5%
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Co-authors
- Yiannis DemirisJin Young ChoiTae‐Kyun KimDanhang TangJongwon ChoiAlykhan TejaniAleš LeonardisTobias Fischer
- Topics
- Human Pose and Action Recognition (29 papers)Robot Manipulation and Learning (17 papers)Advanced Vision and Imaging (16 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- United KingdomSouth KoreaChina
In The Last Decade
Hyung Jin Chang
71 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 1.4k
- Control and Systems Engineering 575
- Human-Computer Interaction 465
- Artificial Intelligence 341
- Aerospace Engineering 285
Countries citing papers authored by Hyung Jin Chang
This map shows the geographic impact of Hyung Jin Chang'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 Hyung Jin Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyung Jin Chang more than expected).
Fields of papers citing papers by Hyung Jin Chang
This network shows the impact of papers produced by Hyung Jin Chang. 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 Hyung Jin Chang. The network helps show where Hyung Jin Chang may publish in the future.
Co-authorship network of co-authors of Hyung Jin Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Hyung Jin Chang. A scholar is included among the top collaborators of Hyung Jin Chang 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 Hyung Jin Chang. Hyung Jin Chang 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 | 7 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 16 | |
| 11 | 8 | |
| 12 | PMnet: learning of disentangled pose and movement for unsupervised motion retargeting | 10 |
| 13 | 10 | |
| 14 | 52 | |
| 15 | 138 | |
| 16 | Towards anchoring self-learned representations to those of other agents | 3 |
| 17 | 70 | |
| 18 | 33 | |
| 19 | 2 | |
| 20 | 18 |
About Hyung Jin Chang
Hyung Jin Chang is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (29 papers), Robot Manipulation and Learning (17 papers) and Advanced Vision and Imaging (16 papers). The work is most often cited by research in Human-Computer Interaction (465 citations), Computer Vision and Pattern Recognition (1.4k citations) and Control and Systems Engineering (575 citations). Hyung Jin Chang has collaborated with scholars based in United Kingdom, South Korea and China. Frequent co-authors include Yiannis Demiris, Jin Young Choi, Tae‐Kyun Kim, Danhang Tang, Jongwon Choi, Alykhan Tejani, Aleš Leonardis, Tobias Fischer, Sangdoo Yun and Wonjun Hwang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.
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.