Yisha Lan
Impact in
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- Robotic Path Planning Algorithms
- Media Technology top 10%
- Advanced Image Fusion Techniques
Papers in ⓘ
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- Computer Graphics and Visualization Techniques 3
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- Advanced Image Fusion Techniques 3
- Co-authors
- Yonghong Peng (13 shared papers)Chenxi Huang (11 shared papers)Yongqiang Cheng (12 shared papers)Wenliang Che (6 shared papers)E. Y. K. Ng (7 shared papers)Guokai Zhang (5 shared papers)Xiaoyan Zheng (1 shared paper)Wen Zhou (4 shared papers)
- Journals
- IEEE Access (7 papers)Complexity (2 papers)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)Advanced Functional Materials (1 paper)Advanced Energy Materials (1 paper)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Yisha Lan
20 papers receiving 474 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 90
- Media Technology 33
- Materials Chemistry 135
- Computer Graphics and Computer-Aided Design 10
- Spectroscopy 46
Countries citing papers authored by Yisha Lan
This map shows the geographic impact of Yisha Lan'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 Yisha Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yisha Lan more than expected).
Fields of papers citing papers by Yisha Lan
This network shows the impact of papers produced by Yisha Lan. 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 Yisha Lan. The network helps show where Yisha Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yisha Lan, 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 | 2021 | 121 | |
| 2 | 2019 | 97 | |
| 3 | 2019 | 52 | |
| 4 | 2009 | 33 | |
| 5 | 2018 | 31 | |
| 6 | 2020 | 29 | |
| 7 | 2024 | 22 | |
| 8 | 2018 | 18 | |
| 9 | 2018 | 17 | |
| 10 | 2019 | 16 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2025 | 6 | |
| 15 | 2019 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2018 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2019 | 2 |
About Yisha Lan
Yisha Lan is a scholar working on Computer Graphics and Computer-Aided Design, Media Technology, Computer Vision and Pattern Recognition, Health Information Management and Biomedical Engineering, having authored 20 papers that have together received 486 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (7 papers), Medical Image Segmentation Techniques (4 papers), Optical Coherence Tomography Applications (4 papers), Perovskite Materials and Applications (4 papers), Advanced Image Fusion Techniques (3 papers), Retinal Imaging and Analysis (3 papers), Computer Graphics and Visualization Techniques (3 papers) and Aortic aneurysm repair treatments (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Media Technology (33 citations), Materials Chemistry (135 citations), Computer Graphics and Computer-Aided Design (10 citations) and Spectroscopy (46 citations). Yisha Lan has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Yonghong Peng, Chenxi Huang, Yongqiang Cheng, Wenliang Che, E. Y. K. Ng, Guokai Zhang, Xiaoyan Zheng, Wen Zhou, Jianhui Yang and Zhengxu Cai. Their work appears in journals such as IEEE Access, Complexity, ACM Transactions on Multimedia Computing Communications and Applications, Advanced Functional Materials and Advanced Energy Materials.
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.