Shang-Wen Li

147 total papers · 3.9k total citations
69 papers, 1.7k citations indexed

About

Shang-Wen Li is a scholar working on Artificial Intelligence, Mechanics of Materials and Signal Processing. According to data from OpenAlex, Shang-Wen Li has authored 69 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 15 papers in Mechanics of Materials and 14 papers in Signal Processing. Recurrent topics in Shang-Wen Li's work include Topic Modeling (24 papers), Speech Recognition and Synthesis (24 papers) and Natural Language Processing Techniques (22 papers). Shang-Wen Li is often cited by papers focused on Topic Modeling (24 papers), Speech Recognition and Synthesis (24 papers) and Natural Language Processing Techniques (22 papers). Shang-Wen Li collaborates with scholars based in United States, Taiwan and China. Shang-Wen Li's co-authors include Hung-yi Lee, Andy T. Liu, Shinji Watanabe, Yung-Sung Chuang, Po-Han Chi, Cheng-I Lai, Juho Kim, Robert C. Miller, Carrie J. Cai and Krzysztof Z. Gajos and has published in prestigious journals such as Journal of Lightwave Technology, Thermochimica Acta and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Shang-Wen Li

64 papers receiving 1.7k citations

Hit Papers

SUPERB: Speech Processing... 2021 2026 2022 2024 2021 2021 2022 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Shang-Wen Li 1.2k 570 237 139 135 69 1.7k
Ismail Shahin 1.0k 0.9× 738 1.3× 244 1.0× 21 0.2× 302 2.2× 78 1.8k
Kevin Walker 533 0.4× 314 0.6× 49 0.2× 620 4.5× 41 0.3× 114 1.8k
Xin Jiang 1.5k 1.2× 115 0.2× 653 2.8× 50 0.4× 20 0.1× 84 2.1k
Man Lan 1.7k 1.4× 81 0.1× 267 1.1× 174 1.3× 14 0.1× 114 2.2k
Javier Macías-Guarasa 452 0.4× 390 0.7× 147 0.6× 81 0.6× 68 0.5× 86 1.5k
Ray-I Chang 228 0.2× 67 0.1× 251 1.1× 95 0.7× 19 0.1× 160 1.5k
Miguel Arevalillo‐Herráez 254 0.2× 76 0.1× 759 3.2× 50 0.4× 168 1.2× 114 1.6k
Xin Liu 502 0.4× 62 0.1× 231 1.0× 21 0.2× 54 0.4× 124 1.8k
Qi Su 1.3k 1.0× 127 0.2× 160 0.7× 12 0.1× 28 0.2× 135 1.9k
Vidhyasaharan Sethu 744 0.6× 608 1.1× 137 0.6× 17 0.1× 558 4.1× 113 1.4k

Countries citing papers authored by Shang-Wen Li

Since Specialization
Citations

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

Fields of papers citing papers by Shang-Wen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shang-Wen Li. 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 Shang-Wen Li. The network helps show where Shang-Wen Li may publish in the future.

Co-authorship network of co-authors of Shang-Wen Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shang-Wen Li. A scholar is included among the top collaborators of Shang-Wen Li 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 Shang-Wen Li. Shang-Wen Li 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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