Wei Lu
Impact in
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- scientometrics and bibliometrics research
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Semantic Web and Ontologies
Papers in
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- Topic Modeling 29
- Advanced Text Analysis Techniques 21
- Natural Language Processing Techniques 11
- Semantic Web and Ontologies 10
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- Expert finding and Q&A systems 11
- Co-authors
- Yong Huang (28 shared papers)Qikai Cheng (19 shared papers)Yi Bu (17 shared papers)Haihua Chen (10 shared papers)Jiangping Chen (3 shared papers)Lei Wu (1 shared paper)Junhua Ding (1 shared paper)Andrew MacFarlane (6 shared papers)
- Journals
- Information Processing & Management (15 papers)Scientometrics (7 papers)Journal of Information Science (6 papers)Journal of Informetrics (6 papers)Journal of the Association for Information Science and Technology (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wei Lu
101 papers receiving 1.1k citations
Wei Lu's Hit Papers
Peers
Comparison fields: 5 of 144
- Statistics, Probability and Uncertainty 206
- Artificial Intelligence 518
- Information Systems 252
- General Social Sciences 34
- Information Systems and Management 74
Countries citing papers authored by Wei Lu
This map shows the geographic impact of Wei 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 Wei Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Lu more than expected).
Fields of papers citing papers by Wei Lu
This network shows the impact of papers produced by Wei 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 Wei Lu. The network helps show where Wei Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A comparative study of automated legal text classification using random forests and deep learning Hit paper breakdown → | 2021 | 153 |
| 2 | 2020 | 89 | |
| 3 | 2021 | 59 | |
| 4 | 2020 | 52 | |
| 5 | 2014 | 49 | |
| 6 | 2020 | 32 | |
| 7 | 2006 | 32 | |
| 8 | 2002 | 29 | |
| 9 | 2022 | 28 | |
| 10 | 2021 | 25 | |
| 11 | 2006 | 25 | |
| 12 | 2018 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2022 | 21 | |
| 15 | 2021 | 21 | |
| 16 | 2021 | 18 | |
| 17 | 2020 | 18 | |
| 18 | 2022 | 18 | |
| 19 | 2022 | 17 | |
| 20 | 2012 | 16 |
About Wei Lu
Wei Lu is a scholar working on Artificial Intelligence, Information Systems, Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 108 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), scientometrics and bibliometrics research (24 papers), Advanced Text Analysis Techniques (21 papers), Complex Network Analysis Techniques (13 papers), Expert finding and Q&A systems (11 papers), Data Quality and Management (11 papers), Natural Language Processing Techniques (11 papers) and Semantic Web and Ontologies (10 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (206 citations), Artificial Intelligence (518 citations), Information Systems (252 citations), General Social Sciences (34 citations) and Information Systems and Management (74 citations). Wei Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yong Huang, Qikai Cheng, Yi Bu, Haihua Chen, Jiangping Chen, Lei Wu, Junhua Ding, Andrew MacFarlane, Stephen Robertson and Xin Li. Their work appears in journals such as Information Processing & Management, Scientometrics, Journal of Information Science, Journal of Informetrics and Journal of the Association for Information Science and Technology.
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.