Wei Ping Lu
Impact in
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- scientometrics and bibliometrics research
- Artificial Intelligence top 5%
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
Papers in
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- scientometrics and bibliometrics research 45
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- Information Retrieval and Search Behavior 21
- Recommender Systems and Techniques 5
- Co-authors
- Yong Huang (29 shared papers)Qikai Cheng (23 shared papers)Yi Bu (17 shared papers)Haihua Chen (10 shared papers)Jiangping Chen (3 shared papers)Junhua Ding (1 shared paper)Lei Wu (1 shared paper)Xin Li (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 Ping Lu
100 papers receiving 1.3k citations
Wei Ping Lu's Hit Papers
Peers
Comparison fields: 5 of 128
- Statistics, Probability and Uncertainty 478
- Artificial Intelligence 315
- Information Systems 221
- General Social Sciences 31
- Health Informatics 17
Countries citing papers authored by Wei Ping Lu
This map shows the geographic impact of Wei Ping 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 Ping 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 Ping Lu more than expected).
Fields of papers citing papers by Wei Ping Lu
This network shows the impact of papers produced by Wei Ping 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 Ping Lu. The network helps show where Wei Ping Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Ping 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 112 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 | 162 |
| 2 | 2018 | 140 | |
| 3 | 2020 | 95 | |
| 4 | 2021 | 67 | |
| 5 | 2020 | 54 | |
| 6 | 2014 | 50 | |
| 7 | 2020 | 31 | |
| 8 | 2006 | 30 | |
| 9 | 2022 | 30 | |
| 10 | 2002 | 29 | |
| 11 | 2021 | 25 | |
| 12 | 2020 | 24 | |
| 13 | 2006 | 23 | |
| 14 | 2019 | 23 | |
| 15 | 2021 | 23 | |
| 16 | 2018 | 22 | |
| 17 | 2022 | 22 | |
| 18 | 2022 | 20 | |
| 19 | 2022 | 20 | |
| 20 | 2020 | 19 |
About Wei Ping Lu
Wei Ping Lu is a scholar working on Statistics, Probability and Uncertainty, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and History and Philosophy of Science, having authored 112 papers that have together received 1.4k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (45 papers), Information Retrieval and Search Behavior (21 papers), Advanced Text Analysis Techniques (14 papers), Topic Modeling (13 papers), Biomedical Text Mining and Ontologies (5 papers), Academic Writing and Publishing (5 papers), Recommender Systems and Techniques (5 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (478 citations), Artificial Intelligence (315 citations), Information Systems (221 citations), General Social Sciences (31 citations) and Health Informatics (17 citations). Wei Ping 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, Junhua Ding, Lei Wu, Xin Li, Andrew MacFarlane and Yue Yu. 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.