Luchen Tan

703 total citations
20 papers, 156 citations indexed

About

Luchen Tan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Luchen Tan has authored 20 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Luchen Tan's work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (6 papers). Luchen Tan is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (6 papers). Luchen Tan collaborates with scholars based in Canada, China and United Kingdom. Luchen Tan's co-authors include Charles L. A. Clarke, Jimmy Lin, Kun Xiong, Mark D. Smucker, Haotian Zhang, Wei Yang, Yuqing Xie, Ming Li, Ming Li and Chun‐Wei Lu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the AAAI Conference on Artificial Intelligence and Text REtrieval Conference.

In The Last Decade

Luchen Tan

18 papers receiving 141 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luchen Tan Canada 9 104 61 24 21 17 20 156
Yannis Stavrakas Greece 7 98 0.9× 67 1.1× 23 1.0× 25 1.2× 14 0.8× 26 171
Tereza Iofciu Germany 7 151 1.5× 117 1.9× 27 1.1× 27 1.3× 7 0.4× 14 206
Francesco Corcoglioniti Italy 8 141 1.4× 41 0.7× 15 0.6× 8 0.4× 12 0.7× 28 174
Suzan Üsküdarlı Türkiye 9 127 1.2× 32 0.5× 34 1.4× 11 0.5× 6 0.4× 33 173
Stuart Rose United States 5 38 0.4× 30 0.5× 79 3.3× 29 1.4× 9 0.5× 13 127
Kristen Summers United States 7 67 0.6× 26 0.4× 48 2.0× 24 1.1× 4 0.2× 12 137
Kiyonori Ohtake Japan 9 232 2.2× 32 0.5× 22 0.9× 20 1.0× 3 0.2× 32 277
Xin Rong United States 4 46 0.4× 33 0.5× 10 0.4× 10 0.5× 8 0.5× 9 87
Aidan Finn Ireland 4 215 2.1× 138 2.3× 18 0.8× 7 0.3× 8 0.5× 7 270
Michel Crampes France 5 47 0.5× 24 0.4× 37 1.5× 6 0.3× 4 0.2× 16 97

Countries citing papers authored by Luchen Tan

Since Specialization
Citations

This map shows the geographic impact of Luchen Tan'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 Luchen Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luchen Tan more than expected).

Fields of papers citing papers by Luchen Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luchen Tan. 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 Luchen Tan. The network helps show where Luchen Tan may publish in the future.

Co-authorship network of co-authors of Luchen Tan

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

All Works

20 of 20 papers shown
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Bai, He, Peng Shi, Jimmy Lin, et al.. (2021). Segatron: Segment-Aware Transformer for Language Modeling and Understanding. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 12526–12534. 8 indexed citations
4.
Tu, Zhengkai, Wei Yang, Yuqing Xie, et al.. (2020). Approximate Nearest Neighbor Search and Lightweight Dense Vector Reranking in Multi-Stage Retrieval Architectures. 97–100. 7 indexed citations
5.
Bai, He, Peng Shi, Jimmy Lin, et al.. (2020). SegaBERT: Pre-training of Segment-aware BERT for Language Understanding.
6.
Xie, Yuqing, Wei Yang, Luchen Tan, et al.. (2020). Distant Supervision for Multi-Stage Fine-Tuning in Retrieval-Based Question Answering. 2934–2940. 6 indexed citations
7.
Yang, Wei, Luchen Tan, Chun‐Wei Lu, et al.. (2019). Detecting Customer Complaint Escalation with Recurrent Neural Networks and Manually-Engineered Features. 56–63. 21 indexed citations
8.
Yang, Wei, Rui Qiao, Amy Cha-Tien Sun, et al.. (2019). End-to-End Neural Context Reconstruction in Chinese Dialogue. 68–76. 5 indexed citations
9.
Tan, Luchen, et al.. (2018). Overview of the TREC 2018 Real-Time Summarization Track.. Text REtrieval Conference. 1 indexed citations
10.
Lin, Jimmy, et al.. (2018). Update Delivery Mechanisms for Prospective Information Needs. 785–794. 7 indexed citations
11.
Tan, Luchen, et al.. (2017). On the Reusability of "Living Labs" Test Collections. 793–796. 1 indexed citations
12.
Tan, Luchen, et al.. (2017). Online In-Situ Interleaved Evaluation of Real-Time Push Notification Systems. 415–424. 10 indexed citations
13.
Lin, Jimmy, et al.. (2016). Overview of the TREC 2016 Real-Time Summarization Track.. Text REtrieval Conference. 12 indexed citations
14.
Tan, Luchen, et al.. (2016). A Platform for Streaming Push Notifications to Mobile Assessors. 1077–1080. 4 indexed citations
15.
Tan, Luchen, et al.. (2016). Simple Dynamic Emission Strategies for Microblog Filtering. 1009–1012. 14 indexed citations
16.
Tan, Luchen, et al.. (2016). An Exploration of Evaluation Metrics for Mobile Push Notifications. 741–744. 12 indexed citations
17.
Tan, Luchen, et al.. (2015). University of Waterloo at TREC 2015 Microblog Track. Text REtrieval Conference. 11 indexed citations
18.
Tan, Luchen, Haotian Zhang, Charles L. A. Clarke, & Mark D. Smucker. (2015). Lexical Comparison Between Wikipedia and Twitter Corpora by Using Word Embeddings. 657–661. 16 indexed citations
19.
Tan, Luchen & Charles L. A. Clarke. (2015). A Family of Rank Similarity Measures Based on Maximized Effectiveness Difference. IEEE Transactions on Knowledge and Data Engineering. 27(11). 2865–2877. 16 indexed citations
20.
Tan, Luchen & Charles L. A. Clarke. (2014). Succinct Queries for Linking and Tracking News in Social Media. 1883–1886. 3 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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