Kun Lan
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- AI in cancer detection 6
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- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Simon Fong (11 shared papers)Nilanjan Dey (2 shared papers)Kelvin K. L. Wong (2 shared papers)Liansheng Liu (1 shared paper)Dantong Wang (1 shared paper)Xiaoliang Jiang (10 shared papers)Jie Yang (5 shared papers)Rui Tang (4 shared papers)
In The Last Decade
Kun Lan
28 papers receiving 424 citations
Peers
Comparison fields: 5 of 112
- Health Informatics 8
- Health Information Management 23
- Ecological Modeling 21
- Radiology, Nuclear Medicine and Imaging 78
- Artificial Intelligence 131
Countries citing papers authored by Kun Lan
This map shows the geographic impact of Kun 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 Kun Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Lan more than expected).
Fields of papers citing papers by Kun Lan
This network shows the impact of papers produced by Kun 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 Kun Lan. The network helps show where Kun Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 225 | |
| 2 | 2024 | 25 | |
| 3 | 2021 | 21 | |
| 4 | 2020 | 20 | |
| 5 | 2024 | 17 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2017 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 3 |
About Kun Lan
Kun Lan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Neurology and Electrical and Electronic Engineering, having authored 34 papers that have together received 434 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Advanced Neural Network Applications (3 papers), Brain Tumor Detection and Classification (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Building Energy and Comfort Optimization (2 papers), Time Series Analysis and Forecasting (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (8 citations), Health Information Management (23 citations), Ecological Modeling (21 citations), Radiology, Nuclear Medicine and Imaging (78 citations) and Artificial Intelligence (131 citations). Kun Lan has collaborated with scholars based in China, Macao and Australia. Frequent co-authors include Simon Fong, Nilanjan Dey, Kelvin K. L. Wong, Liansheng Liu, Dantong Wang, Xiaoliang Jiang, Jie Yang, Rui Tang, Liansheng Liu and Raymond K. Wong. Their work appears in journals such as Mathematical Biosciences & Engineering, IEEE Geoscience and Remote Sensing Letters, Expert Systems with Applications, Energy and Buildings and IEEE Sensors Journal.
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.