Wuwei Lan

707 total citations
13 papers, 337 citations indexed

About

Wuwei Lan is a scholar working on Artificial Intelligence, Computer Networks and Communications and General Health Professions. According to data from OpenAlex, Wuwei Lan has authored 13 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 1 paper in General Health Professions. Recurrent topics in Wuwei Lan's work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Text Readability and Simplification (4 papers). Wuwei Lan is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers) and Text Readability and Simplification (4 papers). Wuwei Lan collaborates with scholars based in United States, China and United Kingdom. Wuwei Lan's co-authors include Wei Xu, Hua He, Alan Ritter, Chao Jiang, Zhong Yang, Mounica Maddela, Chen Yang, Qiang Ji, Haitao Wu and Shangfei Wang and has published in prestigious journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology), arXiv (Cornell University) and International Conference on Computational Linguistics.

In The Last Decade

Wuwei Lan

12 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wuwei Lan United States	9	262	63	57	40	25	13	337
Rumei Li China	3	296 1.1×	47 0.7×	74 1.3×	13 0.3×	9 0.4×	5	329
Zeyang Lei China	7	314 1.2×	42 0.7×	58 1.0×	9 0.2×	8 0.3×	16	363
Stephanie M. Lukin United States	10	198 0.8×	25 0.4×	39 0.7×	62 1.6×	16 0.6×	26	287
Eric Nalisnick United States	7	173 0.7×	47 0.7×	42 0.7×	9 0.2×	8 0.3×	19	214
Rajen Subba United States	9	366 1.4×	58 0.9×	83 1.5×	9 0.2×	4 0.2×	18	396
Penghui Wei China	10	307 1.2×	79 1.3×	47 0.8×	6 0.1×	10 0.4×	20	366
Omar Einea United Arab Emirates	8	355 1.4×	105 1.7×	29 0.5×	12 0.3×	5 0.2×	10	411
Burcu Can Türkiye	9	192 0.7×	44 0.7×	25 0.4×	10 0.3×	10 0.4×	38	251
Xiaoxue Zang China	7	152 0.6×	67 1.1×	54 0.9×	8 0.2×	7 0.3×	23	223
Nouha Dziri United States	7	252 1.0×	17 0.3×	64 1.1×	5 0.1×	22 0.9×	17	310

Countries citing papers authored by Wuwei Lan

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Wuwei Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Wuwei Lan. A scholar is included among the top collaborators of Wuwei Lan 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 Wuwei Lan. Wuwei Lan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Kobayashi, Hideo, Wuwei Lan, Peng Shi, et al.. (2025). You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL. 1889–1901. 2 indexed citations

2.

Kumar, Nitin, Yiqun Hu, Chung-Wei Hang, et al.. (2025). PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable Queries. 255–273.

3.

Hu, Yiqun, Yiyun Zhao, Wuwei Lan, et al.. (2023). Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. 1327–1343. 9 indexed citations

4.

Lan, Wuwei, et al.. (2021). Neural semi-Markov CRF for Monolingual Word Alignment. 6815–6828. 8 indexed citations

5.

Lan, Wuwei, Yang Chen, Wei Xu, & Alan Ritter. (2020). A Focused Study to Compare Arabic Pre-training Models on Newswire IE Tasks. arXiv (Cornell University). 2 indexed citations

6.

Lan, Wuwei, et al.. (2020). GigaBERT: Zero-shot Transfer Learning from English to Arabic. arXiv (Cornell University). 14 indexed citations

7.

Lan, Wuwei, Chen Yang, Wei Xu, & Alan Ritter. (2020). An Empirical Study of Pre-trained Transformers for Arabic Information Extraction. 4727–4734. 42 indexed citations

8.

Jiang, Chao, Mounica Maddela, Wuwei Lan, Zhong Yang, & Wei Xu. (2020). Neural CRF Model for Sentence Alignment in Text Simplification. 7943–7960. 59 indexed citations

9.

Lan, Wuwei & Wei Xu. (2018). Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering. International Conference on Computational Linguistics. 3890–3902. 35 indexed citations

10.

Lan, Wuwei & Wei Xu. (2018). Character-Based Neural Networks for Sentence Pair Modeling. 10 indexed citations

11.

Lan, Wuwei, et al.. (2017). A Continuously Growing Dataset of Sentential Paraphrases. 86 indexed citations

12.

Bai, Wei, Kai Chen, Haitao Wu, Wuwei Lan, & Yangming Zhao. (2014). PAC: Taming TCP Incast Congestion Using Proactive ACK Control. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 385–396. 36 indexed citations

13.

He, Shan, Shangfei Wang, Wuwei Lan, Huan Fu, & Qiang Ji. (2013). Facial Expression Recognition Using Deep Boltzmann Machine from Thermal Infrared Images. 239–244. 34 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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