Chenda Li

49 total papers · 617 total citations
24 papers, 383 citations indexed

About

Chenda Li is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Chenda Li has authored 24 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Signal Processing, 19 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Chenda Li's work include Speech and Audio Processing (23 papers), Speech Recognition and Synthesis (18 papers) and Music and Audio Processing (18 papers). Chenda Li is often cited by papers focused on Speech and Audio Processing (23 papers), Speech Recognition and Synthesis (18 papers) and Music and Audio Processing (18 papers). Chenda Li collaborates with scholars based in China, United States and Japan. Chenda Li's co-authors include Yanmin Qian, Shinji Watanabe, Xuankai Chang, Wangyou Zhang, Jing Shi, Naoyuki Kamo, Tomoki Hayashi, Pengcheng Guo, Hirofumi Inaguma and Yosuke Higuchi and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, arXiv (Cornell University) and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Chenda Li

22 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Chenda Li 309 291 33 24 16 24 383
Aswin Shanmugam Subramanian 262 0.8× 286 1.0× 41 1.2× 17 0.7× 10 0.6× 22 351
Naoyuki Kamo 252 0.8× 254 0.9× 48 1.5× 16 0.7× 11 0.7× 19 338
Sining Sun 354 1.1× 275 0.9× 21 0.6× 35 1.5× 11 0.7× 21 420
Matt Shannon 317 1.0× 250 0.9× 15 0.5× 26 1.1× 16 1.0× 13 372
Andrew Morris 294 1.0× 261 0.9× 16 0.5× 52 2.2× 21 1.3× 26 391
K.K. Paliwal 209 0.7× 193 0.7× 31 0.9× 46 1.9× 23 1.4× 22 338
Mirco Ravanelli 246 0.8× 298 1.0× 48 1.5× 35 1.5× 19 1.2× 31 384
Shuichi Itahashi 259 0.8× 282 1.0× 70 2.1× 30 1.3× 34 2.1× 32 376
Franco Mana 382 1.2× 299 1.0× 13 0.4× 41 1.7× 16 1.0× 42 433
Biing-Hwang Juang 257 0.8× 269 0.9× 31 0.9× 60 2.5× 12 0.8× 13 333

Countries citing papers authored by Chenda Li

Since Specialization
Citations

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

Fields of papers citing papers by Chenda Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenda Li

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