Runnan Li

444 total citations
25 papers, 306 citations indexed

About

Runnan Li is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Runnan Li has authored 25 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Signal Processing and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Runnan Li's work include Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (12 papers) and Natural Language Processing Techniques (7 papers). Runnan Li is often cited by papers focused on Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (12 papers) and Natural Language Processing Techniques (7 papers). Runnan Li collaborates with scholars based in China, Hong Kong and United States. Runnan Li's co-authors include Helen Meng, Zhiyong Wu, Jia Jia, Sheng Zhao, Dongyang Dai, Lianhong Cai, Zhiyong Wu, Xixin Wu, Shiyin Kang and Liyang Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Ethnopharmacology and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Runnan Li

23 papers receiving 286 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Runnan Li China 11 199 169 139 62 13 25 306
Monorama Swain India 7 135 0.7× 188 1.1× 222 1.6× 79 1.3× 7 0.5× 15 346
Ganesh Sivaraman United States 10 265 1.3× 242 1.4× 100 0.7× 62 1.0× 6 0.5× 21 352
Jithendra Vepa Switzerland 11 335 1.7× 339 2.0× 103 0.7× 47 0.8× 8 0.6× 24 474
Yushi Aono Japan 11 271 1.4× 144 0.9× 73 0.5× 42 0.7× 5 0.4× 43 338
Norbert Braunschweiler United Kingdom 12 422 2.1× 274 1.6× 128 0.9× 34 0.5× 5 0.4× 34 491
Yiqin Zhao United States 7 102 0.5× 156 0.9× 168 1.2× 45 0.7× 3 0.2× 13 251
Yun Jin China 9 143 0.7× 152 0.9× 153 1.1× 72 1.2× 4 0.3× 33 261
Kyu J. Han United States 12 371 1.9× 311 1.8× 50 0.4× 44 0.7× 7 0.5× 38 456
Marko Lugger Germany 7 155 0.8× 223 1.3× 261 1.9× 76 1.2× 5 0.4× 8 333
Jainath Yadav India 10 248 1.2× 245 1.4× 197 1.4× 63 1.0× 2 0.2× 37 411

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-authorship network of co-authors of Runnan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Runnan Li. A scholar is included among the top collaborators of Runnan 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 Runnan Li. Runnan 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
1.
Wang, Xiaodan, et al.. (2025). MMFi-DPBML: Multi-molecular fingerprint feature fusion for predicting ingredient-target interactions in traditional Chinese medicine. Journal of Ethnopharmacology. 353(Pt B). 120451–120451.
2.
Liu, Yuan, Yi Zhang, Yiqing Wang, et al.. (2024). Analyzing the causal relationship between lipid-lowering drug target genes and epilepsy: a Mendelian randomization study. Frontiers in Neurology. 15. 1331537–1331537. 3 indexed citations
3.
Ling, Jun, Xu Tan, Liyang Chen, et al.. (2023). StableFace: Analyzing and Improving Motion Stability for Talking Face Generation. IEEE Journal of Selected Topics in Signal Processing. 17(6). 1232–1247. 10 indexed citations
4.
He, Tianyu, Xu Tan, Tadas Baltrušaitis, et al.. (2023). HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details. 9053–9064. 8 indexed citations
5.
Chen, Liyang, et al.. (2022). Transformer-S2A: Robust and Efficient Speech-to-Animation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7247–7251. 10 indexed citations
6.
Wu, Zhiyong, et al.. (2020). Enhancing Monotonicity for Robust Autoregressive Transformer TTS. 3181–3185.
7.
Li, Runnan, Zhiyong Wu, Jia Jia, Sheng Zhao, & Helen Meng. (2019). Dilated Residual Network with Multi-head Self-attention for Speech Emotion Recognition. 6675–6679. 56 indexed citations
8.
Li, Runnan, et al.. (2019). Towards Discriminative Representation Learning for Speech Emotion Recognition. 5060–5066. 38 indexed citations
9.
Wu, Zhiyong, et al.. (2019). One-Shot Voice Conversion with Global Speaker Embeddings. 669–673. 24 indexed citations
10.
Wu, Zhiyong, et al.. (2019). A Compact Framework for Voice Conversion Using Wavenet Conditioned on Phonetic Posteriorgrams. 2017. 6810–6814. 8 indexed citations
11.
Dai, Dongyang, Zhiyong Wu, Runnan Li, et al.. (2019). Learning Discriminative Features from Spectrograms Using Center Loss for Speech Emotion Recognition. 7405–7409. 44 indexed citations
12.
13.
Zhu, Ziwei, et al.. (2018). Siamese Recurrent Auto-Encoder Representation for Query-by-Example Spoken Term Detection. 102–106. 9 indexed citations
14.
Li, Runnan, et al.. (2018). Inferring User Emotive State Changes in Realistic Human-Computer Conversational Dialogs. 136–144. 15 indexed citations
15.
16.
Wu, Zhiyong, Runnan Li, Jia Jia, et al.. (2017). Learning cross-lingual knowledge with multilingual BLSTM for emphasis detection with limited training data. 5615–5619. 10 indexed citations
17.
18.
Li, Runnan, Zhiyong Wu, Xunying Liu, Helen Meng, & Lianhong Cai. (2017). Multi-task learning of structured output layer bidirectional LSTMS for speech synthesis. 5510–5514. 8 indexed citations
19.
20.
Li, Runnan, Zhiyong Wu, Helen Meng, & Lianhong Cai. (2016). DBLSTM-based multi-task learning for pitch transformation in voice conversion. 1–5. 1 indexed citations

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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