Cheng‐Kai Lu
Impact in
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- Retinal Imaging and Analysis
- Optical Imaging and Spectroscopy Techniques
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Papers in
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- Retinal Imaging and Analysis 16
- Optical Imaging and Spectroscopy Techniques 8
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- Digital Imaging for Blood Diseases 4
- Co-authors
- Tong Boon Tang (27 shared papers)Irraivan Elamvazuthi (7 shared papers)Masashi Kiguchi (6 shared papers)Tsukasa Funane (3 shared papers)Cheng-Jung Lee (1 shared paper)Elango Natarajan (2 shared papers)S. Parasuraman (2 shared papers)Augustinus Laude (4 shared papers)
In The Last Decade
Cheng‐Kai Lu
57 papers receiving 504 citations
Peers
Comparison fields: 5 of 90
- Radiology, Nuclear Medicine and Imaging 218
- Ophthalmology 68
- Computer Vision and Pattern Recognition 127
- Cognitive Neuroscience 74
- Neurology 26
Countries citing papers authored by Cheng‐Kai Lu
This map shows the geographic impact of Cheng‐Kai Lu'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 Cheng‐Kai Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng‐Kai Lu more than expected).
Fields of papers citing papers by Cheng‐Kai Lu
This network shows the impact of papers produced by Cheng‐Kai Lu. 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 Cheng‐Kai Lu. The network helps show where Cheng‐Kai Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng‐Kai Lu, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 45 | |
| 2 | 2019 | 36 | |
| 3 | 2019 | 30 | |
| 4 | 2020 | 30 | |
| 5 | 2015 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2020 | 20 | |
| 8 | 2021 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2004 | 19 | |
| 11 | 2020 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2021 | 13 | |
| 15 | 2012 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2018 | 10 | |
| 18 | 2011 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2010 | 9 |
About Cheng‐Kai Lu
Cheng‐Kai Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence and Cognitive Neuroscience, having authored 68 papers that have together received 521 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (16 papers), Optical Imaging and Spectroscopy Techniques (8 papers), Optical Coherence Tomography Applications (7 papers), EEG and Brain-Computer Interfaces (5 papers), AI in cancer detection (5 papers), Brain Tumor Detection and Classification (5 papers), Retinal Diseases and Treatments (5 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (218 citations), Ophthalmology (68 citations), Computer Vision and Pattern Recognition (127 citations), Cognitive Neuroscience (74 citations) and Neurology (26 citations). Cheng‐Kai Lu has collaborated with scholars based in Taiwan, Malaysia and Singapore. Frequent co-authors include Tong Boon Tang, Irraivan Elamvazuthi, Masashi Kiguchi, Tsukasa Funane, Cheng-Jung Lee, Elango Natarajan, S. Parasuraman, Augustinus Laude, Muhammad Amir Khan and Aamir Shahzad. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Sensors Journal, Sensors, IEEE Access and Electronics Letters.
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.