Shang-Wen Li

66 papers receiving 1.7k citations

Hit Papers

SUPERB: Speech Processing Universal PERformance Benchmark2021202620222024202120212022100200300400

Peers

Shang-Wen Li
Comparison fields: 5 of 112
  • Artificial Intelligence 1.2k
  • Signal Processing 582
  • Computer Vision and Pattern Recognition 239
  • Mechanics of Materials 140
  • Experimental and Cognitive Psychology 138
Replace Eugene Kharitonov with:
Eugene Kharitonov Russia
Man Lan China
Kevin Walker United States
Manolis Wallace Greece
Jihun Hamm United States
Mihai Rotaru Singapore
Zheng Lian China
Ching‐Hui Chen United States
Han Guo China
Korbinian Riedhammer Germany
Shang-Wen Li relative to Eugene Kharitonov Russia Eugene Kharitonov's profile →
Citations per field
00.5×4.9×
Eugene Kharitonov · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 12
3 3
4 1
5 13
6 2
7 23
8 0
9 19
10 90
11 29
12 118
13
Properties of CMDB Propellant Containing High-Nitrogen Compound BTATz
1
14
Summarization of Laser Ignition Characteristics of Solid Propellants
3
15
Thermal Decomposition Behavior of Mixed Nitric Ester Gun Propellant under Dynamic Atmosphere
1
16
Effect of Combustion Catalysts on the Combustion Properties of TEGDN Gun Propellant
0
17
Combustion Energy Determination of Lead Salt of 4-Hydroxy-3,5-dinitropyridine and its Catalysis for RDX-CMDB Propellant Combustion
1
18
Energy Characteristics of Propellant Containing 3,4-Dinitrofurazanfuroxan (DNTF)
2
19 44
20
Study on the thermal decomposition of NEPE propellant(IV)
1

About Shang-Wen Li

Shang-Wen Li is a scholar working on Artificial Intelligence, Signal Processing and Computer Science Applications, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Speech Recognition and Synthesis (24 papers) and Natural Language Processing Techniques (22 papers). The work is most often cited by research in Signal Processing (582 citations), Artificial Intelligence (1.2k citations) and Computer Science Applications (89 citations). Shang-Wen Li has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Hung-yi Lee, Andy T. Liu, Shinji Watanabe, Yung-Sung Chuang, Po-Han Chi, Cheng-I Lai, Robert C. Miller, Krzysztof Z. Gajos, Juho Kim and Carrie J. Cai. Their work appears in journals such as Journal of Lightwave Technology, Thermochimica Acta and IEEE Journal of Selected Topics in Signal Processing.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026