Yakun Ju
- Computer Vision and Pattern Recognition top 2%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Mechanics top 10%
- Aerospace Engineering top 10%
- Media Technology top 5%
- Topics
- Advanced Vision and Imaging (23 papers)Computer Graphics and Visualization Techniques (13 papers)3D Shape Modeling and Analysis (12 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Yakun Ju
41 papers receiving 558 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 420
- Computer Graphics and Computer-Aided Design 142
- Computational Mechanics 118
- Aerospace Engineering 95
- Media Technology 91
Countries citing papers authored by Yakun Ju
This map shows the geographic impact of Yakun Ju'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 Yakun Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yakun Ju more than expected).
Fields of papers citing papers by Yakun Ju
This network shows the impact of papers produced by Yakun Ju. 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 Yakun Ju. The network helps show where Yakun Ju may publish in the future.
Co-authorship network of co-authors of Yakun Ju
This figure shows the co-authorship network connecting the top 25 collaborators of Yakun Ju. A scholar is included among the top collaborators of Yakun Ju 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 Yakun Ju. Yakun Ju 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 | 0 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | 3 | |
| 17 | 45 | |
| 18 | 27 | |
| 19 | 15 | |
| 20 | 21 |
About Yakun Ju
Yakun Ju is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 45 papers that have together received 566 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (23 papers), Computer Graphics and Visualization Techniques (13 papers) and 3D Shape Modeling and Analysis (12 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (142 citations), Computer Vision and Pattern Recognition (420 citations) and Geology (64 citations). Yakun Ju has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Junyu Dong, Kin‐Man Lam, Lin Qi, Muwei Jian, Cong Zhang, Boxin Shi, Sheng Chen, Qi Wang, Jingran Su and Feng Gao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.