Taihao Li

1.4k total citations · 2 hit papers
93 papers, 878 citations indexed

About

Taihao Li is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Taihao Li has authored 93 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 21 papers in Experimental and Cognitive Psychology and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Taihao Li's work include Emotion and Mood Recognition (20 papers), Speech and Audio Processing (13 papers) and EEG and Brain-Computer Interfaces (8 papers). Taihao Li is often cited by papers focused on Emotion and Mood Recognition (20 papers), Speech and Audio Processing (13 papers) and EEG and Brain-Computer Interfaces (8 papers). Taihao Li collaborates with scholars based in China, United States and Germany. Taihao Li's co-authors include Mouxing Yang, Xi Peng, Guanxiong Pei, Zhenyu Huang, Jiancheng Lv, Peng Hu, Shupeng Liu, Na Chen, Cunhang Fan and Yunfan Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Taihao Li

79 papers receiving 866 citations

Hit Papers

Learning with Twin Noisy Labels for Visible-Infrared Pers... 2022 2026 2023 2024 2022 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taihao Li China 14 300 198 129 108 99 93 878
Zi Wang China 16 154 0.5× 115 0.6× 31 0.2× 49 0.5× 86 0.9× 42 631
Muhammad Uzair Pakistan 19 448 1.5× 233 1.2× 66 0.5× 107 1.0× 60 0.6× 54 1.0k
Anwar M. Mirza Pakistan 20 723 2.4× 218 1.1× 106 0.8× 23 0.2× 65 0.7× 81 1.3k
Huihui Li China 18 350 1.2× 261 1.3× 238 1.8× 61 0.6× 65 0.7× 69 897
Việt Dũng Nguyễn Vietnam 11 329 1.1× 169 0.9× 233 1.8× 55 0.5× 81 0.8× 53 792
Ning Sun China 16 403 1.3× 114 0.6× 145 1.1× 44 0.4× 64 0.6× 89 736
Abdullah Çalışkan Türkiye 14 81 0.3× 163 0.8× 7 0.1× 47 0.4× 109 1.1× 29 609
Wenbo Zhao China 10 99 0.3× 146 0.7× 132 1.0× 100 0.9× 73 0.7× 31 584
Xiao Huang China 15 85 0.3× 152 0.8× 35 0.3× 102 0.9× 131 1.3× 78 715
Pétia Georgieva Portugal 18 64 0.2× 159 0.8× 80 0.6× 153 1.4× 73 0.7× 101 915

Countries citing papers authored by Taihao Li

Since Specialization
Citations

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

Fields of papers citing papers by Taihao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taihao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Taihao Li. A scholar is included among the top collaborators of Taihao 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 Taihao Li. Taihao 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.
Shi, Tuo, Lili Gao, Jinchang Liu, et al.. (2025). Memristor-based feature learning for pattern classification. Nature Communications. 16(1). 913–913. 7 indexed citations
2.
Li, Taihao, et al.. (2024). Revisiting 3D visual grounding with Context-aware Feature Aggregation. Neurocomputing. 601. 128195–128195. 1 indexed citations
3.
Zhang, Min, Yiming Wang, Hongyu Chen, et al.. (2024). Design of a differentiable L-1 norm for pattern recognition and machine learning. Pattern Recognition Letters. 186. 126–132. 2 indexed citations
4.
Fan, Cunhang, et al.. (2024). Multimodal Emotion Recognition Based on EEG and EOG Signals Evoked by the Video-Odor Stimuli. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 3496–3505. 5 indexed citations
5.
Sun, Jun, et al.. (2024). RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 15173–15182. 3 indexed citations
6.
Chen, Sijin, Hongyuan Zhu, Xin Chen, et al.. (2024). Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(11). 7331–7347. 7 indexed citations
7.
Pei, Guanxiong, et al.. (2023). Neural evidence of face processing in social anxiety disorder: A systematic review with meta-analysis. Neuroscience & Biobehavioral Reviews. 152. 105283–105283. 12 indexed citations
8.
Fan, Cunhang, Zhao Lv, Shan Liang, et al.. (2023). VLP2MSA: Expanding vision-language pre-training to multimodal sentiment analysis. Knowledge-Based Systems. 283. 111136–111136. 11 indexed citations
9.
Fan, Cunhang, et al.. (2023). ICaps-ResLSTM: Improved capsule network and residual LSTM for EEG emotion recognition. Biomedical Signal Processing and Control. 87. 105422–105422. 42 indexed citations
10.
Li, Taihao, et al.. (2023). Disentangling Prosody Representations With Unsupervised Speech Reconstruction. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 39–54. 4 indexed citations
11.
Pei, Guanxiong, et al.. (2023). Affective Computing: Recent Advances, Challenges, and Future Trends. SHILAP Revista de lepidopterología. 3. 22 indexed citations
12.
Pei, Guanxiong, et al.. (2023). EEG-based affective computing in virtual reality with a balancing of the computational efficiency and recognition accuracy. Computers in Human Behavior. 152. 108085–108085. 14 indexed citations
13.
Sun, Jun, et al.. (2023). Layer-wise Fusion with Modality Independence Modeling for Multi-modal Emotion Recognition. 658–670. 12 indexed citations
14.
Wang, Fen, Taihao Li, & Xue Zhang. (2023). Revisit Sampling Theory of Bandlimited Graph Signals: One Bridge Between GSP and DSP. 1–5. 1 indexed citations
15.
Li, Taihao, et al.. (2023). Modular Platform for Route Guidance in the Cyber-Physical Laboratory Test. SNE Simulation Notes Europe. 33(1). 45–52.
16.
Qu, Hua, et al.. (2022). Generalized Asymmetric Correntropy for Robust Adaptive Filtering: A Theoretical and Simulation Study. Remote Sensing. 14(15). 3677–3677. 3 indexed citations
17.
Li, Taihao, et al.. (2020). An Improved K-Means Algorithm Based on Initial Clustering Center Optimization. ZTE communications. 15. 43–46.
18.
Li, Taihao, et al.. (2020). Phase-Locked Loop Based Cancellation of ECG Power Line Interference. ZTE communications. 16(1). 47–51. 2 indexed citations
19.
Cheng, Huifang, et al.. (2017). Synthesis and self-assembly of bent core polycatenar mesogens with binding selectivity to Hg2+. New Journal of Chemistry. 41(16). 8443–8450. 13 indexed citations
20.
Feng, Yongqing, Taihao Li, Emmanuel Olivier, et al.. (2005). The Human β-Globin Locus Control Region Can Silence as Well as Activate Gene Expression. Molecular and Cellular Biology. 25(10). 3864–3874. 31 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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