Ken Lin
Impact in
- Obstetrics and Gynecology top 10%
- Uterine Myomas and Treatments
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- Complex Network Analysis Techniques
Papers in
-
- Radical Photochemical Reactions 3
- Synthesis and Catalytic Reactions 2
-
- Infrastructure Maintenance and Monitoring 1
- Co-authors
- Shaohua Fan (1 shared paper)Xiao Wang (1 shared paper)Chuan Shi (1 shared paper)Bai Wang (1 shared paper)Debra L. Richardson (1 shared paper)Kimberly A. Kho (1 shared paper)Sameh Mosaed (1 shared paper)Giancarlo A. Garcia (1 shared paper)
- Journals
- BMC Cardiovascular Disorders (1 paper)BMC Pulmonary Medicine (1 paper)International Journal of Cardiology (1 paper)Frontiers in Nutrition (1 paper)Gynecologic Oncology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ken Lin
21 papers receiving 393 citations
Peers
Comparison fields: 5 of 82
- Obstetrics and Gynecology 39
- Statistical and Nonlinear Physics 52
- Artificial Intelligence 118
- Ophthalmology 24
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Ken Lin
This map shows the geographic impact of Ken Lin'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 Ken Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Lin more than expected).
Fields of papers citing papers by Ken Lin
This network shows the impact of papers produced by Ken Lin. 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 Ken Lin. The network helps show where Ken Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Lin, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 141 | |
| 2 | 2022 | 52 | |
| 3 | 2016 | 40 | |
| 4 | 2016 | 36 | |
| 5 | 2023 | 25 | |
| 6 | 2025 | 23 | |
| 7 | 2024 | 18 | |
| 8 | 2025 | 16 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2014 | 8 | |
| 13 | 2025 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2016 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Ken Lin
Ken Lin is a scholar working on Organic Chemistry, Civil and Structural Engineering, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Computer Networks and Communications, having authored 23 papers that have together received 399 indexed citations. Recurring topics across this work include Radical Photochemical Reactions (3 papers), Synthesis and Catalytic Reactions (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Infrastructure Maintenance and Monitoring (1 paper), Advanced Photocatalysis Techniques (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Obstetrics and Gynecology (39 citations), Statistical and Nonlinear Physics (52 citations), Artificial Intelligence (118 citations), Ophthalmology (24 citations) and Computer Vision and Pattern Recognition (49 citations). Ken Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shaohua Fan, Xiao Wang, Chuan Shi, Bai Wang, Debra L. Richardson, Kimberly A. Kho, Sameh Mosaed, Giancarlo A. Garcia, Qingguo Wu and Hongjian Lu. Their work appears in journals such as BMC Cardiovascular Disorders, BMC Pulmonary Medicine, International Journal of Cardiology, Frontiers in Nutrition and Gynecologic Oncology.
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.