Yu Lu
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
-
- Data Quality and Management
Papers in
-
- Topic Modeling 12
- Natural Language Processing Techniques 9
- Advanced Graph Neural Networks 6
-
- Multimodal Machine Learning Applications 5
- Co-authors
- Xiangliang Zhang (4 shared papers)Shichao Pei (4 shared papers)Harrison H. Zhou (2 shared papers)Chao Gao (1 shared paper)Wei Xiang (2 shared papers)Robert Hoehndorf (1 shared paper)Guoping Chen (3 shared papers)Guoxian Yu (2 shared papers)
- Journals
- Acta Pharmaceutica Sinica B (1 paper)Materials Characterization (1 paper)Journal of Machine Learning Research (1 paper)Communications in Nonlinear Science and Numerical Simulation (1 paper)ISIJ International (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Yu Lu
47 papers receiving 720 citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 329
- Management Science and Operations Research 114
- Statistics and Probability 49
- Computer Vision and Pattern Recognition 121
- Statistical and Nonlinear Physics 68
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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 97 | |
| 2 | 2015 | 86 | |
| 3 | 2017 | 48 | |
| 4 | 2019 | 44 | |
| 5 | 2023 | 42 | |
| 6 | 2020 | 36 | |
| 7 | 2023 | 34 | |
| 8 | 2023 | 29 | |
| 9 | 2023 | 28 | |
| 10 | 2017 | 25 | |
| 11 | 2024 | 23 | |
| 12 | 2022 | 22 | |
| 13 | Optimal estimation and completion of matrices with biclustering structures | 2016 | 19 |
| 14 | 2017 | 18 | |
| 15 | 2015 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2011 | 13 | |
| 18 | 2023 | 12 | |
| 19 | 2009 | 12 | |
| 20 | 2023 | 11 |
About Yu Lu
Yu Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering and Materials Chemistry, having authored 56 papers that have together received 750 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers), Advanced Graph Neural Networks (6 papers), GNSS positioning and interference (6 papers), Multimodal Machine Learning Applications (5 papers), Inertial Sensor and Navigation (4 papers), Advanced Frequency and Time Standards (4 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Artificial Intelligence (329 citations), Management Science and Operations Research (114 citations), Statistics and Probability (49 citations), Computer Vision and Pattern Recognition (121 citations) and Statistical and Nonlinear Physics (68 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, Wei Xiang, Robert Hoehndorf, Guoping Chen, Guoxian Yu, Zongli Hu and Jiajun Zhang. Their work appears in journals such as Acta Pharmaceutica Sinica B, Materials Characterization, Journal of Machine Learning Research, Communications in Nonlinear Science and Numerical Simulation 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.