Cheng Lu
Impact in
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- Image Enhancement Techniques
- Video Surveillance and Tracking Methods
- Digital Imaging for Blood Diseases
- Advanced Vision and Imaging
- Biophysics top 1%
- Cell Image Analysis Techniques
Papers in
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- Digital Imaging for Blood Diseases 18
- Image Enhancement Techniques 12
- Advanced Vision and Imaging 10
- Medical Image Segmentation Techniques 7
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- AI in cancer detection 40
- Co-authors
- Mark S. Drew (11 shared papers)Graham D. Finlayson (5 shared papers)Mrinal Mandal (21 shared papers)S. D. Hordley (1 shared paper)Anant Madabhushi (36 shared papers)Naresh Jha (6 shared papers)Xiangxue Wang (12 shared papers)Hongming Xu (8 shared papers)
- Journals
- IEEE Journal of Biomedical and Health Informatics (6 papers)The Journal of Immunology (5 papers)Medical Image Analysis (5 papers)Journal of Clinical Oncology (3 papers)Journal of Visual Communication and Image Representation (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Cheng Lu
186 papers receiving 4.0k citations
Cheng Lu's Hit Papers
Peers
Comparison fields: 5 of 170
- Computer Vision and Pattern Recognition 1.2k
- Biophysics 262
- Health Informatics 53
- Radiology, Nuclear Medicine and Imaging 635
- Artificial Intelligence 935
Countries citing papers authored by Cheng Lu
This map shows the geographic impact of Cheng 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 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 Lu more than expected).
Fields of papers citing papers by Cheng Lu
This network shows the impact of papers produced by Cheng 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 Lu. The network helps show where Cheng Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng 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 203 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | On the removal of shadows from images Hit paper breakdown → | 2006 | 457 |
| 2 | 2009 | 249 | |
| 3 | 2018 | 170 | |
| 4 | 2020 | 144 | |
| 5 | MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer Hit paper breakdown → | 2023 | 138 |
| 6 | Expression of E-cadherin in primary and metastatic prostate cancer. | 1996 | 136 |
| 7 | 2000 | 131 | |
| 8 | 2023 | 110 | |
| 9 | 2018 | 98 | |
| 10 | 2017 | 69 | |
| 11 | 2023 | 69 | |
| 12 | 2017 | 59 | |
| 13 | 2020 | 55 | |
| 14 | 2007 | 55 | |
| 15 | 2015 | 54 | |
| 16 | 2014 | 54 | |
| 17 | 2022 | 53 | |
| 18 | 2013 | 52 | |
| 19 | 2016 | 52 | |
| 20 | 2013 | 49 |
About Cheng Lu
Cheng Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology, having authored 203 papers that have together received 4.0k indexed citations. Recurring topics across this work include AI in cancer detection (40 papers), Radiomics and Machine Learning in Medical Imaging (34 papers), Digital Imaging for Blood Diseases (18 papers), Image Enhancement Techniques (12 papers), Advanced Vision and Imaging (10 papers), Cancer Immunotherapy and Biomarkers (9 papers), Medical Image Segmentation Techniques (7 papers) and Cutaneous Melanoma Detection and Management (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Biophysics (262 citations), Health Informatics (53 citations), Radiology, Nuclear Medicine and Imaging (635 citations) and Artificial Intelligence (935 citations). Cheng Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mark S. Drew, Graham D. Finlayson, Mrinal Mandal, S. D. Hordley, Anant Madabhushi, Naresh Jha, Xiangxue Wang, Hongming Xu, Andrew Janowczyk and David L. Rimm. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, The Journal of Immunology, Medical Image Analysis, Journal of Clinical Oncology and Journal of Visual Communication and Image Representation.
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.