Vincent S. Tseng

342 total papers · 8.9k total citations
241 papers, 5.5k citations indexed

About

Vincent S. Tseng is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Vincent S. Tseng has authored 241 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Information Systems, 81 papers in Artificial Intelligence and 72 papers in Signal Processing. Recurrent topics in Vincent S. Tseng's work include Data Mining Algorithms and Applications (102 papers), Rough Sets and Fuzzy Logic (64 papers) and Data Management and Algorithms (45 papers). Vincent S. Tseng is often cited by papers focused on Data Mining Algorithms and Applications (102 papers), Rough Sets and Fuzzy Logic (64 papers) and Data Management and Algorithms (45 papers). Vincent S. Tseng collaborates with scholars based in Taiwan, United States and China. Vincent S. Tseng's co-authors include Philip S. Yu, Chengwei Wu, Bai En Shie, Tzung‐Pei Hong, Philippe Fournier‐Viger, Eric Hsueh-Chan Lu, Jerry Chun‐Wei Lin, Guo-Cheng Lan, Ja-Hwung Su and Chun-Hao Chen and has published in prestigious journals such as Nucleic Acids Research, Circulation and Bioinformatics.

In The Last Decade

Vincent S. Tseng

227 papers receiving 5.3k citations

Hit Papers

Efficient Algorithms for ... 2010 2026 2015 2020 2012 2010 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Vincent S. Tseng 3.3k 2.2k 2.1k 1.5k 461 241 5.5k
Zhong Ming 2.3k 0.7× 2.7k 1.2× 885 0.4× 473 0.3× 1.2k 2.7× 343 9.0k
Yin Yang 683 0.2× 2.5k 1.1× 509 0.2× 524 0.4× 645 1.4× 190 6.5k
Gautam Das 2.0k 0.6× 2.0k 0.9× 647 0.3× 2.5k 1.7× 739 1.6× 210 6.5k
Reda Alhajj 1.2k 0.4× 2.1k 1.0× 539 0.3× 647 0.4× 721 1.6× 404 5.3k
Jaewoo Kang 992 0.3× 4.8k 2.1× 578 0.3× 528 0.4× 698 1.5× 173 8.2k
Sebastián Ventura 3.9k 1.2× 7.0k 3.1× 1.2k 0.6× 386 0.3× 1.1k 2.5× 261 13.0k
Manoranjan Dash 1.1k 0.3× 3.4k 1.5× 922 0.4× 515 0.3× 1.5k 3.3× 68 5.8k
Vincent Ng 1.5k 0.5× 3.4k 1.5× 641 0.3× 557 0.4× 349 0.8× 190 5.4k
Longbing Cao 3.5k 1.0× 4.3k 1.9× 812 0.4× 889 0.6× 1.3k 2.8× 362 7.7k
Jundong Li 1.3k 0.4× 4.1k 1.8× 253 0.1× 338 0.2× 1.1k 2.3× 197 6.4k

Countries citing papers authored by Vincent S. Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Vincent S. Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent S. Tseng. 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 Vincent S. Tseng. The network helps show where Vincent S. Tseng may publish in the future.

Co-authorship network of co-authors of Vincent S. Tseng

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent S. Tseng. A scholar is included among the top collaborators of Vincent S. Tseng 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 Vincent S. Tseng. Vincent S. Tseng 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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