Yuer Lu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Computational Drug Discovery Methods
Papers in
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- Single-cell and spatial transcriptomics 3
- Bioinformatics and Genomic Networks 2
- Gene Regulatory Network Analysis 2
- Co-authors
- Jianwei Shuai (16 shared papers)Qi Zhao (6 shared papers)Jianqiang Sun (2 shared papers)Liyu Liu (2 shared papers)Fangfang Zhu (3 shared papers)Jinyan Cheng (3 shared papers)Xin Yang (1 shared paper)Honghong Su (2 shared papers)
- Journals
- Briefings in Bioinformatics (2 papers)Swarm and Evolutionary Computation (1 paper)Frontiers in Microbiology (1 paper)Health Information Science and Systems (1 paper)Frontiers in Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yuer Lu
15 papers receiving 325 citations
Yuer Lu's Hit Papers
Peers
Comparison fields: 5 of 85
- Cancer Research 57
- Computational Theory and Mathematics 48
- Molecular Biology 114
- Health Informatics 2
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Yuer Lu
This map shows the geographic impact of Yuer 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 Yuer Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuer Lu more than expected).
Fields of papers citing papers by Yuer Lu
This network shows the impact of papers produced by Yuer 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 Yuer Lu. The network helps show where Yuer Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuer 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 | Predicting metabolite–disease associations based on auto-encoder and non-negative matrix factorization Hit paper breakdown → | 2023 | 109 |
| 2 | 2024 | 49 | |
| 3 | 2024 | 30 | |
| 4 | 2021 | 25 | |
| 5 | 2021 | 23 | |
| 6 | 2023 | 20 | |
| 7 | 2022 | 19 | |
| 8 | 2024 | 18 | |
| 9 | 2023 | 11 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 0 |
About Yuer Lu
Yuer Lu is a scholar working on Molecular Biology, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Biomaterials, having authored 16 papers that have together received 329 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Silk-based biomaterials and applications (2 papers), Bioinformatics and Genomic Networks (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), EEG and Brain-Computer Interfaces (2 papers), Gene Regulatory Network Analysis (2 papers), Image Processing Techniques and Applications (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Cancer Research (57 citations), Computational Theory and Mathematics (48 citations), Molecular Biology (114 citations), Health Informatics (2 citations) and Computer Vision and Pattern Recognition (32 citations). Yuer Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianwei Shuai, Qi Zhao, Jianqiang Sun, Liyu Liu, Fangfang Zhu, Jinyan Cheng, Xin Yang, Honghong Su, Yuping Cao and Ye Qiu. Their work appears in journals such as Briefings in Bioinformatics, Swarm and Evolutionary Computation, Frontiers in Microbiology, Health Information Science and Systems and Frontiers in Psychiatry.
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.