Ling Tan
Impact in
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- Aortic Disease and Treatment Approaches
- Aortic aneurysm repair treatments
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- Cardiac Valve Diseases and Treatments
Papers in
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- Aortic Disease and Treatment Approaches 7
- Aortic aneurysm repair treatments 4
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- Energy Efficient Wireless Sensor Networks 3
- Co-authors
- Hao Tang (13 shared papers)David Taniar (3 shared papers)Zhongshi Wu (4 shared papers)Zahir Tari (1 shared paper)Yun Li (1 shared paper)Yun Tan (6 shared papers)Yifan Zeng (5 shared papers)Jingqun Tang (1 shared paper)
- Journals
- Frontiers in Cardiovascular Medicine (3 papers)Journal of Thoracic and Cardiovascular Surgery (2 papers)Computers, materials & continua/Computers, materials & continua (Print) (2 papers)Heliyon (2 papers)iScience (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ling Tan
29 papers receiving 267 citations
Peers
Comparison fields: 5 of 93
- Pulmonary and Respiratory Medicine 81
- Cardiology and Cardiovascular Medicine 32
- Computer Vision and Pattern Recognition 24
- Artificial Intelligence 34
- Computer Networks and Communications 23
Countries citing papers authored by Ling Tan
This map shows the geographic impact of Ling Tan'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 Ling Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Tan more than expected).
Fields of papers citing papers by Ling Tan
This network shows the impact of papers produced by Ling Tan. 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 Ling Tan. The network helps show where Ling Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Tan, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 55 | |
| 2 | 2023 | 37 | |
| 3 | 2023 | 21 | |
| 4 | 2003 | 17 | |
| 5 | 2018 | 16 | |
| 6 | 2020 | 15 | |
| 7 | 2018 | 13 | |
| 8 | 2019 | 13 | |
| 9 | 2006 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2005 | 10 | |
| 13 | 2003 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2022 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2025 | 3 |
About Ling Tan
Ling Tan is a scholar working on Pulmonary and Respiratory Medicine, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 283 indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (7 papers), Aortic aneurysm repair treatments (4 papers), Medical Image Segmentation Techniques (3 papers), Advanced Neural Network Applications (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Advanced Photocatalysis Techniques (2 papers), Cardiac Valve Diseases and Treatments (2 papers) and TiO2 Photocatalysis and Solar Cells (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (81 citations), Cardiology and Cardiovascular Medicine (32 citations), Computer Vision and Pattern Recognition (24 citations), Artificial Intelligence (34 citations) and Computer Networks and Communications (23 citations). Ling Tan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hao Tang, David Taniar, Zhongshi Wu, Zahir Tari, Yun Li, Yun Tan, Yifan Zeng, Jingqun Tang, Xuyu Xiang and Jiaohua Qin. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Journal of Thoracic and Cardiovascular Surgery, Computers, materials & continua/Computers, materials & continua (Print), Heliyon and iScience.
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.