Siwei Lai
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Advanced Graph Neural Networks
- Information Systems top 1%
- Spam and Phishing Detection
Papers in
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- Topic Modeling 7
- Advanced Text Analysis Techniques 5
- Sentiment Analysis and Opinion Mining 3
- Natural Language Processing Techniques 3
- Text and Document Classification Technologies 2
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- Web Data Mining and Analysis 1
- Co-authors
- Kang Liu (6 shared papers)Jun Zhao (6 shared papers)Liheng Xu (5 shared papers)Guangyou Zhou (2 shared papers)Daojian Zeng (1 shared paper)Shizhu He (1 shared paper)Jun Zhao (2 shared papers)Kang Liu (2 shared papers)
- Journals
- IEEE Intelligent Systems (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- China
In The Last Decade
Siwei Lai
10 papers receiving 2.6k citations
Siwei Lai's Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 2.3k
- Information Systems 545
- Computer Science Applications 90
- Signal Processing 138
- Computer Vision and Pattern Recognition 262
Countries citing papers authored by Siwei Lai
This map shows the geographic impact of Siwei Lai'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 Siwei Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siwei Lai more than expected).
Fields of papers citing papers by Siwei Lai
This network shows the impact of papers produced by Siwei Lai. 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 Siwei Lai. The network helps show where Siwei Lai may publish in the future.
Co-authors
The 17 scholars most cited alongside Siwei Lai, 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 | Recurrent Convolutional Neural Networks for Text Classification Hit paper breakdown → | 2015 | 1523 |
| 2 | Relation Classification via Convolutional Deep Neural Network Hit paper breakdown → | 2014 | 870 |
| 3 | 2016 | 226 | |
| 4 | 2012 | 77 | |
| 5 | Mining Opinion Words and Opinion Targets in a Two-Stage Framework | 2013 | 43 |
| 6 | Hybrid recommendation models for binary user preference prediction problem | 2011 | 14 |
| 7 | 2017 | 10 | |
| 8 | 2014 | 9 | |
| 9 | 2013 | 9 | |
| 10 | 2021 | 1 |
About Siwei Lai
Siwei Lai is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Environmental Engineering, having authored 10 papers that have together received 2.8k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Advanced Text Analysis Techniques (5 papers), Sentiment Analysis and Opinion Mining (3 papers), Natural Language Processing Techniques (3 papers), Text and Document Classification Technologies (2 papers), Advanced Statistical Methods and Models (1 paper), Web Data Mining and Analysis (1 paper) and Wind and Air Flow Studies (1 paper). The work is most often cited by research in Artificial Intelligence (2.3k citations), Information Systems (545 citations), Computer Science Applications (90 citations), Signal Processing (138 citations) and Computer Vision and Pattern Recognition (262 citations). Siwei Lai has collaborated with scholars based in China. Frequent co-authors include Kang Liu, Jun Zhao, Liheng Xu, Guangyou Zhou, Daojian Zeng, Shizhu He, Jun Zhao, Kang Liu, Yubo Chen and Yubo Chen. Their work appears in journals such as IEEE Intelligent Systems and Proceedings of the AAAI Conference on Artificial Intelligence.
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.