Yaojie Lu
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
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- Data Quality and Management
Papers in
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- Topic Modeling 22
- Natural Language Processing Techniques 18
- Advanced Text Analysis Techniques 4
- Text and Document Classification Technologies 4
Yaojie Lu
38 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 677
- Management Science and Operations Research 92
- Control and Systems Engineering 162
- Electronic, Optical and Magnetic Materials 127
- Statistics, Probability and Uncertainty 36
Countries citing papers authored by Yaojie Lu
This map shows the geographic impact of Yaojie 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 Yaojie Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaojie Lu more than expected).
Fields of papers citing papers by Yaojie Lu
This network shows the impact of papers produced by Yaojie 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 Yaojie Lu. The network helps show where Yaojie Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaojie 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 26 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 19 | |
| 9 | Unified Structure Generation for Universal Information Extraction Hit paper breakdown → | 2022 | 215 |
| 10 | 2021 | 126 | |
| 11 | 2020 | 22 | |
| 12 | 2020 | 3 | |
| 13 | 2019 | 32 | |
| 14 | 2019 | 16 | |
| 15 | 2018 | 53 | |
| 16 | 2015 | 76 | |
| 17 | 2015 | 0 | |
| 18 | 2008 | 80 | |
| 19 | 2007 | 38 | |
| 20 | Ricoh Research at TREC 2006: Enterprise Track | 2006 | 4 |
About Yaojie Lu
Yaojie Lu is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty, Hardware and Architecture, Control and Systems Engineering and Information Systems, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (18 papers), Fault Detection and Control Systems (7 papers), Control Systems and Identification (6 papers), Advanced Text Analysis Techniques (4 papers), Text and Document Classification Technologies (4 papers), Iron-based superconductors research (3 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Artificial Intelligence (677 citations), Management Science and Operations Research (92 citations), Control and Systems Engineering (162 citations), Electronic, Optical and Magnetic Materials (127 citations) and Statistics, Probability and Uncertainty (36 citations). Yaojie Lu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xianpei Han, Hongyu Lin, Biao Huang, Le Sun, Le Sun, Hua Wu, Xinyan Xiao, Q. Liu, Jialong Tang and Jinsong Su. Their work appears in journals such as IEEE Transactions on Cybernetics, Applied Physics Letters, IEEE Transactions on Industrial Electronics, Journal of Applied Physics and Chemometrics and Intelligent Laboratory Systems.
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.