Yun-Nung Chen

204 total papers · 3.8k total citations
93 papers, 1.6k citations indexed

About

Yun-Nung Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yun-Nung Chen has authored 93 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Yun-Nung Chen's work include Topic Modeling (72 papers), Natural Language Processing Techniques (56 papers) and Speech and dialogue systems (52 papers). Yun-Nung Chen is often cited by papers focused on Topic Modeling (72 papers), Natural Language Processing Techniques (56 papers) and Speech and dialogue systems (52 papers). Yun-Nung Chen collaborates with scholars based in Taiwan, United States and Hong Kong. Yun-Nung Chen's co-authors include Dilek Hakkani‐Tür, Jianfeng Gao, Alexander I. Rudnicky, Aslı Çelikyılmaz, Gökhan Tür, Li Deng, Hung-yi Lee, Shang‐Yu Su, Ye‐Yi Wang and William Yang Wang and has published in prestigious journals such as Journal of Medical Internet Research, Language Resources and Evaluation and Computer Speech & Language.

In The Last Decade

Yun-Nung Chen

90 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Yun-Nung Chen 1.4k 256 129 64 56 93 1.6k
Derek F. Wong 1.0k 0.7× 315 1.2× 127 1.0× 110 1.7× 56 1.0× 131 1.3k
Ting Liu 1.5k 1.1× 275 1.1× 250 1.9× 109 1.7× 46 0.8× 94 1.9k
Zhifang Sui 1.6k 1.2× 355 1.4× 250 1.9× 100 1.6× 53 0.9× 115 2.0k
Yixin Liu 1.0k 0.7× 182 0.7× 220 1.7× 70 1.1× 57 1.0× 47 1.3k
Bin Wang 1.0k 0.7× 474 1.9× 127 1.0× 53 0.8× 45 0.8× 63 1.3k
Rebecca Hwa 1.8k 1.3× 216 0.8× 229 1.8× 121 1.9× 42 0.8× 68 2.0k
Ingrid Zukerman 927 0.7× 225 0.9× 308 2.4× 38 0.6× 94 1.7× 121 1.3k
Greg Durrett 1.3k 0.9× 211 0.8× 146 1.1× 98 1.5× 48 0.9× 75 1.5k
Chuanqi Tan 2.0k 1.4× 260 1.0× 248 1.9× 141 2.2× 47 0.8× 43 2.2k
Pengfei Liu 2.0k 1.4× 317 1.2× 235 1.8× 73 1.1× 130 2.3× 79 2.3k

Countries citing papers authored by Yun-Nung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yun-Nung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun-Nung Chen. 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 Yun-Nung Chen. The network helps show where Yun-Nung Chen may publish in the future.

Co-authorship network of co-authors of Yun-Nung Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Nung Chen. A scholar is included among the top collaborators of Yun-Nung Chen 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 Yun-Nung Chen. Yun-Nung Chen 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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