Runnan Li

444 citations
25 papers · 306 · h-index 11

Impact in

Papers in

    • Speech Recognition and Synthesis 15
    • Natural Language Processing Techniques 7
    • Speech and dialogue systems 4
    • Speech and Audio Processing 12
    • Music and Audio Processing 5

Runnan Li

23 papers receiving 286 citations

Peers

Runnan Li
Comparison fields: 5 of 47
  • Signal Processing 169
  • Experimental and Cognitive Psychology 139
  • Artificial Intelligence 199
  • Computer Vision and Pattern Recognition 62
  • Human-Computer Interaction 5
Replace Yiqin Zhao with:
Yiqin Zhao United States
Ganesh Sivaraman United States
Thomas Manzini United States
Eli Pincus United States
Alexis Moinet Belgium
Monorama Swain India
Sangwu Lee United States
Jithendra Vepa Switzerland
Norbert Braunschweiler United Kingdom
Runnan Li relative to Yiqin Zhao United States Yiqin Zhao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Runnan Li

Since Specialization
Citations

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

Fields of papers citing papers by Runnan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Runnan Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Runnan Li Line = papers co-authored together Runnan Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201956
2 201944
3 201938
4 201924
5 201815
6 201812
7 201712
8 202310
9 202210
10 201710
11 201910
12 20189
13 20189
14 20198
15 20188
16 20178
17 20238
18 20174
19 20243
20 20233

About Runnan Li

Runnan Li is a scholar working on Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 25 papers that have together received 306 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (12 papers), Natural Language Processing Techniques (7 papers), Face recognition and analysis (5 papers), Music and Audio Processing (5 papers), Speech and dialogue systems (4 papers), Emotion and Mood Recognition (4 papers) and Phonetics and Phonology Research (3 papers). The work is most often cited by research in Signal Processing (169 citations), Experimental and Cognitive Psychology (139 citations), Artificial Intelligence (199 citations), Computer Vision and Pattern Recognition (62 citations) and Human-Computer Interaction (5 citations). Runnan Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Helen Meng, Zhiyong Wu, Jia Jia, Sheng Zhao, Dongyang Dai, Xixin Wu, Lianhong Cai, Zhiyong Wu, Shiyin Kang and Jun Ling. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, Frontiers in Neurology, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Ethnopharmacology and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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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