Yu Lu
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
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- Data Quality and Management
Papers in
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- Topic Modeling 10
- Natural Language Processing Techniques 7
- Advanced Graph Neural Networks 5
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- Multimodal Machine Learning Applications 5
- Advanced Neural Network Applications 3
- Co-authors
- Xiangliang Zhang (4 shared papers)Shichao Pei (4 shared papers)Harrison H. Zhou (2 shared papers)Chao Gao (1 shared paper)Robert Hoehndorf (1 shared paper)Wei Xiang (2 shared papers)Guoxian Yu (2 shared papers)Guoping Chen (3 shared papers)
- Journals
- Acta Pharmaceutica Sinica B (1 paper)Scientific Reports (1 paper)Applied Energy (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)ISIJ International (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Yu Lu
45 papers receiving 624 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 280
- Management Science and Operations Research 99
- Statistics and Probability 46
- Statistical and Nonlinear Physics 67
- Computer Vision and Pattern Recognition 107
Countries citing papers authored by Yu Lu
This map shows the geographic impact of Yu 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 Yu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Lu more than expected).
Fields of papers citing papers by Yu Lu
This network shows the impact of papers produced by Yu 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 Yu Lu. The network helps show where Yu Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 82 | |
| 2 | 2015 | 79 | |
| 3 | 2017 | 45 | |
| 4 | 2019 | 41 | |
| 5 | 2020 | 36 | |
| 6 | 2023 | 29 | |
| 7 | 2023 | 28 | |
| 8 | 2023 | 24 | |
| 9 | 2023 | 24 | |
| 10 | 2017 | 23 | |
| 11 | Optimal estimation and completion of matrices with biclustering structures | 2016 | 19 |
| 12 | 2022 | 18 | |
| 13 | 2024 | 17 | |
| 14 | 2017 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2015 | 15 | |
| 17 | 2011 | 13 | |
| 18 | 2023 | 11 | |
| 19 | 2015 | 11 | |
| 20 | 2009 | 11 |
About Yu Lu
Yu Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering and Materials Chemistry, having authored 50 papers that have together received 652 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers), Multimodal Machine Learning Applications (5 papers), Advanced Graph Neural Networks (5 papers), Plant Molecular Biology Research (3 papers), GNSS positioning and interference (3 papers), Advanced Neural Network Applications (3 papers) and Advanced Measurement and Detection Methods (3 papers). The work is most often cited by research in Artificial Intelligence (280 citations), Management Science and Operations Research (99 citations), Statistics and Probability (46 citations), Statistical and Nonlinear Physics (67 citations) and Computer Vision and Pattern Recognition (107 citations). Yu Lu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Xiangliang Zhang, Shichao Pei, Harrison H. Zhou, Chao Gao, Robert Hoehndorf, Wei Xiang, Guoxian Yu, Guoping Chen, Zongli Hu and Sahand Negahban. Their work appears in journals such as Acta Pharmaceutica Sinica B, Scientific Reports, Applied Energy, IEEE Journal of Biomedical and Health Informatics and ISIJ International.
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.