Keming Lu
Impact in
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- Sperm and Testicular Function
Papers in
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- Topic Modeling 8
- Natural Language Processing Techniques 5
- Advanced Text Analysis Techniques 1
- Semantic Web and Ontologies 1
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- Biomedical Text Mining and Ontologies 3
- Co-authors
- Yunjie Yang (1 shared paper)T.J. Hebert (1 shared paper)Muhao Chen (2 shared papers)Yucong Lin (3 shared papers)Wenxuan Zhou (2 shared papers)Yingyun Yang (2 shared papers)Sheng Yu (3 shared papers)Yong Zhu (1 shared paper)
- Journals
- BMC Medical Informatics and Decision Making (2 papers)IEEE Transactions on Image Processing (1 paper)Journal of Biomedical Informatics (1 paper)Journal of Medical Genetics (1 paper)Behavioral Sciences (1 paper)
- Partner nations
- ChinaUnited StatesCayman Islands
In The Last Decade
Keming Lu
16 papers receiving 158 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 11
- Reproductive Medicine 29
- Artificial Intelligence 59
- Gastroenterology 10
- Genetics 37
Countries citing papers authored by Keming Lu
This map shows the geographic impact of Keming 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 Keming Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keming Lu more than expected).
Fields of papers citing papers by Keming Lu
This network shows the impact of papers produced by Keming 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 Keming Lu. The network helps show where Keming Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Keming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 37 | |
| 2 | 2018 | 33 | |
| 3 | 2019 | 22 | |
| 4 | 2022 | 21 | |
| 5 | 2024 | 13 | |
| 6 | 1995 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About Keming Lu
Keming Lu is a scholar working on Artificial Intelligence, Molecular Biology, Surgery, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 170 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers), Biomedical Text Mining and Ontologies (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Diagnosis and treatment of tuberculosis (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Text Analysis Techniques (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Health Informatics (11 citations), Reproductive Medicine (29 citations), Artificial Intelligence (59 citations), Gastroenterology (10 citations) and Genetics (37 citations). Keming Lu has collaborated with scholars based in China, United States and Cayman Islands. Frequent co-authors include Yunjie Yang, T.J. Hebert, Muhao Chen, Yucong Lin, Wenxuan Zhou, Yingyun Yang, Sheng Yu, Yong Zhu, Zheng Li and Weiliang Xia. Their work appears in journals such as BMC Medical Informatics and Decision Making, IEEE Transactions on Image Processing, Journal of Biomedical Informatics, Journal of Medical Genetics and Behavioral Sciences.
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.