Songbo Tan

58 total papers · 1.7k total citations
47 papers, 970 citations indexed

About

Songbo Tan is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Songbo Tan has authored 47 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 20 papers in Information Systems and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Songbo Tan's work include Text and Document Classification Technologies (24 papers), Sentiment Analysis and Opinion Mining (23 papers) and Topic Modeling (19 papers). Songbo Tan is often cited by papers focused on Text and Document Classification Technologies (24 papers), Sentiment Analysis and Opinion Mining (23 papers) and Topic Modeling (19 papers). Songbo Tan collaborates with scholars based in China, United Kingdom and Egypt. Songbo Tan's co-authors include Xueqi Cheng, Huifeng Tang, Qiong Wu, Yuefen Wang, Gaowei Wu, Moustafa Ghanem, Hongbo Xu, Bin Wang, Xiaochun Yun and Zheng Lin and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Polymer Composites.

In The Last Decade

Songbo Tan

47 papers receiving 880 citations

Hit Papers

A survey on sentiment det... 2009 2026 2014 2020 2009 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey on sentiment detection of reviews
    2009 315 citations Huifeng Tang, Songbo Tan et al. Expert Systems with Applications profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Songbo Tan 857 328 93 43 38 47 970
Chengjie Sun 902 1.1× 217 0.7× 73 0.8× 55 1.3× 55 1.4× 71 1.2k
Benjamin K. Tsou 1.0k 1.2× 142 0.4× 82 0.9× 27 0.6× 30 0.8× 75 1.2k
Mauro Dragoni 616 0.7× 180 0.5× 58 0.6× 35 0.8× 59 1.6× 77 814
Kim Schouten 744 0.9× 179 0.5× 127 1.4× 32 0.7× 58 1.5× 22 881
Guixian Xu 554 0.6× 182 0.6× 90 1.0× 41 1.0× 52 1.4× 31 804
Yu–N Cheah 658 0.8× 173 0.5× 88 0.9× 12 0.3× 41 1.1× 67 926
Bingquan Liu 613 0.7× 224 0.7× 51 0.5× 53 1.2× 18 0.5× 90 881
Nina Wacholder 722 0.8× 244 0.7× 72 0.8× 37 0.9× 30 0.8× 40 895
Matthias Hagen 813 0.9× 394 1.2× 117 1.3× 22 0.5× 57 1.5× 107 1.2k
Zhu Zhang 771 0.9× 219 0.7× 106 1.1× 37 0.9× 42 1.1× 43 961

Countries citing papers authored by Songbo Tan

Since Specialization
Citations

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

Fields of papers citing papers by Songbo Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songbo Tan

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

All Works

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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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2026