Changcheng Lu
Impact in
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- Computational Drug Discovery Methods
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- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Biomedical Text Mining and Ontologies
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
Papers in
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- Bioinformatics and Genomic Networks 5
- Single-cell and spatial transcriptomics 2
- Machine Learning in Bioinformatics 2
- Gene Regulatory Network Analysis 2
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- Computational Drug Discovery Methods 8
- Co-authors
- Yajie Meng (11 shared papers)Xiangxiang Zeng (4 shared papers)Jialiang Yang (7 shared papers)Lijun Cai (4 shared papers)Junlin Xu (7 shared papers)Min Jin (2 shared papers)Xianfang Tang (6 shared papers)Xiangzheng Fu (2 shared papers)
- Journals
- Briefings in Bioinformatics (3 papers)Frontiers in Immunology (1 paper)Journal of Biomedical Informatics (1 paper)Cell Reports Methods (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- ChinaIsraelUnited States
In The Last Decade
Changcheng Lu
11 papers receiving 455 citations
Changcheng Lu's Hit Papers
Peers
Comparison fields: 5 of 72
- Computational Theory and Mathematics 281
- Molecular Biology 336
- Cancer Research 49
- Pharmacology 24
- Biophysics 14
Countries citing papers authored by Changcheng Lu
This map shows the geographic impact of Changcheng 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 Changcheng Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changcheng Lu more than expected).
Fields of papers citing papers by Changcheng Lu
This network shows the impact of papers produced by Changcheng 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 Changcheng Lu. The network helps show where Changcheng Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Changcheng 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 | 2021 | 120 | |
| 2 | A weighted bilinear neural collaborative filtering approach for drug repositioning Hit paper breakdown → | 2022 | 119 |
| 3 | 2023 | 63 | |
| 4 | 2021 | 60 | |
| 5 | 2023 | 48 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 15 | |
| 8 | 2025 | 8 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2023 | 2 |
About Changcheng Lu
Changcheng Lu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Infectious Diseases and Pharmacology, having authored 11 papers that have together received 463 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Bioinformatics and Genomic Networks (5 papers), Single-cell and spatial transcriptomics (2 papers), Machine Learning in Bioinformatics (2 papers), Machine Learning in Materials Science (2 papers), Gene Regulatory Network Analysis (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (281 citations), Molecular Biology (336 citations), Cancer Research (49 citations), Pharmacology (24 citations) and Biophysics (14 citations). Changcheng Lu has collaborated with scholars based in China, Israel and United States. Frequent co-authors include Yajie Meng, Xiangxiang Zeng, Jialiang Yang, Lijun Cai, Junlin Xu, Min Jin, Xianfang Tang, Xiangzheng Fu, Peng Wang and Yansen Su. Their work appears in journals such as Briefings in Bioinformatics, Frontiers in Immunology, Journal of Biomedical Informatics, Cell Reports Methods and IEEE Journal of Biomedical and Health Informatics.
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.