Tian Tan

37 total papers · 1.3k total citations
25 papers, 825 citations indexed

About

Tian Tan is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tian Tan has authored 25 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Signal Processing, 22 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Tian Tan's work include Speech Recognition and Synthesis (21 papers), Music and Audio Processing (21 papers) and Speech and Audio Processing (19 papers). Tian Tan is often cited by papers focused on Speech Recognition and Synthesis (21 papers), Music and Audio Processing (21 papers) and Speech and Audio Processing (19 papers). Tian Tan collaborates with scholars based in China, United States and Singapore. Tian Tan's co-authors include Yanmin Qian, Kai Yu, Mengxiao Bi, Hu Hu, Dong Yu, Yuchen Fan, Tianxing He, Maofan Yin, Ying Zhou and Philip C. Woodland and has published in prestigious journals such as IEEE Transactions on Speech and Audio Processing, Speech Communication and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Tian Tan

25 papers receiving 752 citations

Hit Papers

Very Deep Convolutional N... 2016 2026 2019 2022 2016 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Tian Tan 576 516 134 58 47 25 825
Bo Li 613 1.1× 555 1.1× 143 1.1× 60 1.0× 47 1.0× 29 1.0k
Ananya Misra 412 0.7× 440 0.9× 98 0.7× 68 1.2× 29 0.6× 35 880
Wangyou Zhang 813 1.4× 683 1.3× 54 0.4× 61 1.1× 30 0.6× 42 1.0k
P. Nguyen 830 1.4× 668 1.3× 178 1.3× 26 0.4× 34 0.7× 18 1.1k
Dimitrios Dimitriadis 561 1.0× 471 0.9× 91 0.7× 54 0.9× 41 0.9× 57 802
Dimitri Kanevsky 754 1.3× 611 1.2× 137 1.0× 136 2.3× 57 1.2× 59 1.0k
Chanwoo Kim 640 1.1× 753 1.5× 60 0.4× 150 2.6× 54 1.1× 41 975
Shinji Takaki 811 1.4× 814 1.6× 123 0.9× 109 1.9× 29 0.6× 50 1.0k
J. McDonough 657 1.1× 557 1.1× 69 0.5× 47 0.8× 35 0.7× 24 768
J.N. Gowdy 262 0.5× 581 1.1× 285 2.1× 36 0.6× 71 1.5× 53 756

Countries citing papers authored by Tian Tan

Since Specialization
Citations

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

Fields of papers citing papers by Tian Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Tan

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