Jae‐Pil Heo
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Media Technology top 5%
- Co-authors
- Sung‐Eui YoonYoungwoon LeeJunfeng HeShih-Fu ChangZhe LinShih‐Fu ChangJihwan KimJaehyuk Huh
- Topics
- Advanced Image and Video Retrieval Techniques (16 papers)Multimodal Machine Learning Applications (13 papers)Domain Adaptation and Few-Shot Learning (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Access
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Jae‐Pil Heo
49 papers receiving 806 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 692
- Artificial Intelligence 179
- Aerospace Engineering 101
- Computer Graphics and Computer-Aided Design 76
- Media Technology 75
Countries citing papers authored by Jae‐Pil Heo
This map shows the geographic impact of Jae‐Pil Heo'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 Jae‐Pil Heo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Pil Heo more than expected).
Fields of papers citing papers by Jae‐Pil Heo
This network shows the impact of papers produced by Jae‐Pil Heo. 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 Jae‐Pil Heo. The network helps show where Jae‐Pil Heo may publish in the future.
Co-authorship network of co-authors of Jae‐Pil Heo
This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Pil Heo. A scholar is included among the top collaborators of Jae‐Pil Heo 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 Jae‐Pil Heo. Jae‐Pil Heo 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 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 40 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 48 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 4 |
About Jae‐Pil Heo
Jae‐Pil Heo is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 57 papers that have together received 825 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (16 papers), Multimodal Machine Learning Applications (13 papers) and Domain Adaptation and Few-Shot Learning (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (692 citations), Computer Graphics and Computer-Aided Design (76 citations) and Media Technology (75 citations). Jae‐Pil Heo has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Sung‐Eui Yoon, Youngwoon Lee, Junfeng He, Shih-Fu Chang, Zhe Lin, Shih‐Fu Chang, Jihwan Kim, Jaehyuk Huh, John Kim and Min Tang. 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.