Wuwei Lan
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Information Systems top 10%
- Cloud Computing and Resource Management
Papers in
-
- Natural Language Processing Techniques 10
- Topic Modeling 9
- Text Readability and Simplification 4
- Advanced Text Analysis Techniques 2
- Semantic Web and Ontologies 2
- Co-authors
- Wei Xu (7 shared papers)Hua He (1 shared paper)Alan Ritter (3 shared papers)Mounica Maddela (1 shared paper)Zhong Yang (1 shared paper)Chao Jiang (1 shared paper)Chen Yang (1 shared paper)Wei Bai (1 shared paper)
- Journals
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)International Conference on Computational Linguistics (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesChinaBangladesh
In The Last Decade
Wuwei Lan
12 papers receiving 314 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 262
- Information Systems 63
- Computer Vision and Pattern Recognition 57
- Experimental and Cognitive Psychology 25
- Computer Networks and Communications 40
Countries citing papers authored by Wuwei Lan
This map shows the geographic impact of Wuwei Lan'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 Wuwei Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wuwei Lan more than expected).
Fields of papers citing papers by Wuwei Lan
This network shows the impact of papers produced by Wuwei Lan. 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 Wuwei Lan. The network helps show where Wuwei Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wuwei Lan, 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 | 2017 | 86 | |
| 2 | 2020 | 59 | |
| 3 | 2020 | 42 | |
| 4 | 2014 | 36 | |
| 5 | Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering | 2018 | 35 |
| 6 | 2013 | 34 | |
| 7 | GigaBERT: Zero-shot Transfer Learning from English to Arabic | 2020 | 14 |
| 8 | 2018 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2021 | 8 | |
| 11 | A Focused Study to Compare Arabic Pre-training Models on Newswire IE Tasks | 2020 | 2 |
| 12 | 2025 | 2 | |
| 13 | 2025 | 0 |
About Wuwei Lan
Wuwei Lan is a scholar working on Artificial Intelligence, Computer Networks and Communications, General Health Professions, Information Systems and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 337 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers), Text Readability and Simplification (4 papers), Advanced Text Analysis Techniques (2 papers), Semantic Web and Ontologies (2 papers), Cloud Computing and Resource Management (1 paper), Face and Expression Recognition (1 paper) and Face recognition and analysis (1 paper). The work is most often cited by research in Artificial Intelligence (262 citations), Information Systems (63 citations), Computer Vision and Pattern Recognition (57 citations), Experimental and Cognitive Psychology (25 citations) and Computer Networks and Communications (40 citations). Wuwei Lan has collaborated with scholars based in United States, China and Bangladesh. Frequent co-authors include Wei Xu, Hua He, Alan Ritter, Mounica Maddela, Zhong Yang, Chao Jiang, Chen Yang, Wei Bai, Qiang Ji and Kai Chen. Their work appears in journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology), International Conference on Computational Linguistics and arXiv (Cornell University).
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.