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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- Optical Coherence Tomography Applications 4
- Surgery 7
- Coronary Interventions and Diagnostics 7
- Co-authors
- Yonghong Peng (13 shared papers)Chenxi Huang (11 shared papers)Yongqiang Cheng (12 shared papers)E. Y. K. Ng (7 shared papers)Wenliang Che (6 shared papers)Guokai Zhang (5 shared papers)Bin Tong (1 shared paper)Xiaoyan Zheng (1 shared paper)
- Journals
- IEEE Access (7 papers)Complexity (2 papers)ACS Energy Letters (1 paper)Advanced Functional Materials (1 paper)Chemical Science (1 paper)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Yisha Lan
20 papers receiving 507 citations
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 94
- Media Technology 35
- Materials Chemistry 142
- Spectroscopy 46
- Computer Graphics and Computer-Aided Design 10
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 | 127 | |
| 2 | 2019 | 100 | |
| 3 | 2019 | 55 | |
| 4 | 2018 | 34 | |
| 5 | 2009 | 34 | |
| 6 | 2020 | 32 | |
| 7 | 2024 | 22 | |
| 8 | 2018 | 19 | |
| 9 | 2019 | 18 | |
| 10 | 2018 | 18 | |
| 11 | 2020 | 11 | |
| 12 | 2025 | 10 | |
| 13 | 2019 | 10 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2018 | 3 | |
| 20 | 2019 | 2 |
About Yisha Lan
Yisha Lan is a scholar working on Biomedical Engineering, Surgery, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 518 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), Retinal Imaging and Analysis (3 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Image Fusion Techniques (3 papers) and Quantum Dots Synthesis And Properties (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (94 citations), Media Technology (35 citations), Materials Chemistry (142 citations), Spectroscopy (46 citations) and Computer Graphics and Computer-Aided Design (10 citations). Yisha Lan has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Yonghong Peng, Chenxi Huang, Yongqiang Cheng, E. Y. K. Ng, Wenliang Che, Guokai Zhang, Bin Tong, Xiaoyan Zheng, Yunxiang Lei and Junfang Yang. Their work appears in journals such as IEEE Access, Complexity, ACS Energy Letters, Advanced Functional Materials and Chemical Science.
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.