Tien-Lin Wu

8 total papers · 1.3k total citations
7 papers, 971 citations indexed

About

Tien-Lin Wu is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and General Health Professions. According to data from OpenAlex, Tien-Lin Wu has authored 7 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 2 papers in General Health Professions. Recurrent topics in Tien-Lin Wu's work include EEG and Brain-Computer Interfaces (4 papers), Neural dynamics and brain function (4 papers) and Emotion and Mood Recognition (4 papers). Tien-Lin Wu is often cited by papers focused on EEG and Brain-Computer Interfaces (4 papers), Neural dynamics and brain function (4 papers) and Emotion and Mood Recognition (4 papers). Tien-Lin Wu collaborates with scholars based in Taiwan and United States. Tien-Lin Wu's co-authors include Shyh‐Kang Jeng, Jyh‐Horng Chen, Chi‐Hong Wang, Yuan‐Pin Lin, Jeng‐Ren Duann, Tzyy‐Ping Jung, Yi‐Ping Hung, Liwei Chan, Changhua Yang and Yung‐Yu Chuang and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering.

In The Last Decade

Tien-Lin Wu

7 papers receiving 936 citations

Hit Papers

EEG-Based Emotion Recogni... 2010 2026 2015 2020 2010 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Tien-Lin Wu 841 606 204 120 93 7 971
Robert Jenke 660 0.8× 555 0.9× 148 0.7× 124 1.0× 98 1.1× 7 838
Soraia M. Alarcão 686 0.8× 593 1.0× 95 0.5× 119 1.0× 116 1.2× 11 841
Li-Chen Shi 711 0.8× 561 0.9× 116 0.6× 213 1.8× 98 1.1× 14 852
Yifei Lu 674 0.8× 628 1.0× 77 0.4× 205 1.7× 79 0.8× 5 899
Zirui Lan 693 0.8× 515 0.8× 109 0.5× 190 1.6× 133 1.4× 21 892
Setha Pan-ngum 728 0.9× 409 0.7× 143 0.7× 110 0.9× 137 1.5× 30 941
Pierre‐Emmanuel Aguera 865 1.0× 304 0.5× 119 0.6× 33 0.3× 48 0.5× 15 975
Mojtaba Khomami Abadi 706 0.8× 888 1.5× 83 0.4× 101 0.8× 251 2.7× 12 1.2k
Hanshu Cai 678 0.8× 363 0.6× 57 0.3× 45 0.4× 234 2.5× 31 974
Seyed Mostafa Kia 618 0.7× 344 0.6× 55 0.3× 35 0.3× 72 0.8× 33 993

Countries citing papers authored by Tien-Lin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tien-Lin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tien-Lin Wu

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