Tien-Ping Tan

86 total papers · 759 total citations
61 papers, 432 citations indexed

About

Tien-Ping Tan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Tien-Ping Tan has authored 61 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Signal Processing. Recurrent topics in Tien-Ping Tan's work include Natural Language Processing Techniques (26 papers), Speech Recognition and Synthesis (22 papers) and Topic Modeling (16 papers). Tien-Ping Tan is often cited by papers focused on Natural Language Processing Techniques (26 papers), Speech Recognition and Synthesis (22 papers) and Topic Modeling (16 papers). Tien-Ping Tan collaborates with scholars based in Malaysia, China and France. Tien-Ping Tan's co-authors include Eng Siong Chng, Haizhou Li, Dau-Cheng Lyu, Keng Hoon Gan, Xiong Xiao, Laurent Besacier, Rosni Abdullah, Laurent Besacier, Anand Singh and Li‐Pei Wong and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Applied Soft Computing.

In The Last Decade

Tien-Ping Tan

55 papers receiving 395 citations

Author Peers

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

Author Last Decade Papers Cites
Tien-Ping Tan 326 93 53 40 33 61 432
Antonio Origlia 129 0.4× 62 0.7× 108 2.0× 48 1.2× 13 0.4× 54 391
Anastassia Loukina 287 0.9× 58 0.6× 97 1.8× 17 0.4× 56 1.7× 43 399
Sunayana Sitaram 382 1.2× 83 0.9× 34 0.6× 20 0.5× 30 0.9× 56 453
David Suendermann‐Oeft 274 0.8× 66 0.7× 55 1.0× 21 0.5× 10 0.3× 44 379
Christoph Draxler 281 0.9× 140 1.5× 169 3.2× 22 0.6× 11 0.3× 51 427
Emer Gilmartin 304 0.9× 24 0.3× 75 1.4× 38 0.9× 22 0.7× 32 426
Yasuo Horiuchi 239 0.7× 80 0.9× 115 2.2× 42 1.1× 26 0.8× 49 409
Nuno Mamede 304 0.9× 29 0.3× 39 0.7× 26 0.7× 36 1.1× 76 381
Su‐Youn Yoon 402 1.2× 86 0.9× 67 1.3× 35 0.9× 37 1.1× 39 463
Jean‐Gabriel Ganascia 227 0.7× 44 0.5× 11 0.2× 62 1.6× 85 2.6× 78 474

Countries citing papers authored by Tien-Ping Tan

Since Specialization
Citations

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

Fields of papers citing papers by Tien-Ping Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tien-Ping Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Tien-Ping Tan. A scholar is included among the top collaborators of Tien-Ping 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 Tien-Ping Tan. Tien-Ping 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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