Siwei Lai

4.4k total citations · 2 hit papers
10 papers, 2.8k citations indexed

About

Siwei Lai is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Siwei Lai has authored 10 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Siwei Lai's work include Topic Modeling (7 papers), Advanced Text Analysis Techniques (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). Siwei Lai is often cited by papers focused on Topic Modeling (7 papers), Advanced Text Analysis Techniques (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). Siwei Lai collaborates with scholars based in China. Siwei Lai's co-authors include Kang Liu, Jun Zhao, Liheng Xu, Guangyou Zhou, Daojian Zeng, Shizhu He, Jun Zhao, Kang Liu, Yubo Chen and Yubo Chen and has published in prestigious journals such as IEEE Intelligent Systems and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Siwei Lai

10 papers receiving 2.6k citations

Hit Papers

Recurrent Convolutional Neural Networks for Text Classifi... 2014 2026 2018 2022 2015 2014 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Siwei Lai China 9 2.3k 538 261 254 136 10 2.8k
Zhengbao Jiang United States 11 1.8k 0.8× 485 0.9× 508 1.9× 86 0.3× 107 0.8× 16 2.6k
Gjergji Kasneci Germany 18 1.3k 0.6× 469 0.9× 215 0.8× 124 0.5× 214 1.6× 61 2.0k
Tong Xu China 26 1.2k 0.5× 468 0.9× 527 2.0× 186 0.7× 78 0.6× 149 2.2k
Sen Wu China 19 1.3k 0.6× 535 1.0× 279 1.1× 145 0.6× 128 0.9× 81 2.0k
Shaul Markovitch Israel 24 3.2k 1.4× 930 1.7× 344 1.3× 237 0.9× 186 1.4× 70 3.7k
Kenny Q. Zhu China 20 1.5k 0.6× 627 1.2× 243 0.9× 160 0.6× 181 1.3× 94 2.1k
Zuhair Bandar United Kingdom 16 1.4k 0.6× 436 0.8× 106 0.4× 179 0.7× 78 0.6× 59 1.8k
Alessandro Moschitti Italy 39 5.3k 2.3× 1.3k 2.4× 576 2.2× 400 1.6× 152 1.1× 214 5.7k

Countries citing papers authored by Siwei Lai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Siwei Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Siwei Lai. A scholar is included among the top collaborators of Siwei Lai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Siwei Lai. Siwei Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
2.
Lai, Siwei, et al.. (2017). How to Generate a Good Word Embedding?. IEEE Intelligent Systems. 1–1. 10 indexed citations
3.
Lai, Siwei, Kang Liu, Shizhu He, & Jun Zhao. (2016). How to Generate a Good Word Embedding. IEEE Intelligent Systems. 31(6). 5–14. 222 indexed citations
4.
Lai, Siwei, Liheng Xu, Kang Liu, & Jun Zhao. (2015). Recurrent Convolutional Neural Networks for Text Classification. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 1506 indexed citations breakdown →
5.
Zeng, Daojian, Kang Liu, Siwei Lai, Guangyou Zhou, & Jun Zhao. (2014). Relation Classification via Convolutional Deep Neural Network. 2335–2344. 862 indexed citations breakdown →
6.
Xu, Liheng, Kang Liu, Siwei Lai, & Jun Zhao. (2014). Product Feature Mining: Semantic Clues versus Syntactic Constituents. 336–346. 9 indexed citations
7.
Xu, Liheng, Kang Liu, Siwei Lai, Yubo Chen, & Jun Zhao. (2013). Mining Opinion Words and Opinion Targets in a Two-Stage Framework. 1764–1773. 43 indexed citations
8.
Xu, Liheng, Kang Liu, Siwei Lai, Yubo Chen, & Jun Zhao. (2013). Walk and learn. 95–96. 9 indexed citations
9.
Zhou, Guangyou, Siwei Lai, Kang Liu, & Jun Zhao. (2012). Topic-sensitive probabilistic model for expert finding in question answer communities. 1662–1666. 77 indexed citations
10.
Lai, Siwei, Yang Liu, Liheng Xu, et al.. (2011). Hybrid recommendation models for binary user preference prediction problem. 137–151. 14 indexed citations

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.

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