Licai Sun

873 total citations · 2 hit papers
21 papers, 482 citations indexed

About

Licai Sun is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Licai Sun has authored 21 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Experimental and Cognitive Psychology, 11 papers in Artificial Intelligence and 9 papers in Signal Processing. Recurrent topics in Licai Sun's work include Emotion and Mood Recognition (17 papers), Sentiment Analysis and Opinion Mining (8 papers) and Music and Audio Processing (7 papers). Licai Sun is often cited by papers focused on Emotion and Mood Recognition (17 papers), Sentiment Analysis and Opinion Mining (8 papers) and Music and Audio Processing (7 papers). Licai Sun collaborates with scholars based in China, Finland and Singapore. Licai Sun's co-authors include Zheng Lian, Jianhua Tao, Bin Liu, Lan Chen, Mingyue Niu, Meng Wang, Yuan Cheng, Kexin Wang, Cong Cai and Fan Yin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Fusion and IEEE Transactions on Affective Computing.

In The Last Decade

Licai Sun

18 papers receiving 472 citations

Hit Papers

Efficient Multimodal Transformer With Dual-Level Feature ... 2023 2026 2024 2025 2023 2023 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Efficient Multimodal Transformer With Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis
    2023 101 citations Licai Sun, Zheng Lian et al. IEEE Transactions on Affective Computing profile →
  2. GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation
    2023 87 citations Zheng Lian, Lan Chen et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Licai Sun China 11 270 250 140 115 39 21 482
Wenmeng Yu China 4 580 2.1× 267 1.1× 211 1.5× 152 1.3× 31 0.8× 6 757
Ronald Böck Germany 10 141 0.5× 175 0.7× 58 0.4× 109 0.9× 57 1.5× 45 300
Najmeh Sadoughi United States 9 258 1.0× 205 0.8× 106 0.8× 166 1.4× 68 1.7× 14 431
Linlin Chao China 9 198 0.7× 236 0.9× 92 0.7× 118 1.0× 56 1.4× 15 394
Wasifur Rahman United States 7 335 1.2× 125 0.5× 130 0.9× 74 0.6× 47 1.2× 13 480
Laura Docío-Fernández Spain 12 243 0.9× 98 0.4× 103 0.7× 169 1.5× 40 1.0× 63 418
Ingo Siegert Germany 10 168 0.6× 166 0.7× 35 0.3× 95 0.8× 50 1.3× 63 309
Xinzhou Xu China 11 250 0.9× 287 1.1× 115 0.8× 235 2.0× 42 1.1× 34 491
Jingting Li China 12 132 0.5× 212 0.8× 302 2.2× 56 0.5× 34 0.9× 35 455
Yante Li Finland 10 127 0.5× 263 1.1× 249 1.8× 65 0.6× 41 1.1× 20 475

Countries citing papers authored by Licai Sun

Since Specialization
Citations

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

Fields of papers citing papers by Licai Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Licai Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Licai Sun. A scholar is included among the top collaborators of Licai Sun 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 Licai Sun. Licai Sun 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.
Lian, Zheng, Chen Lan, Licai Sun, et al.. (2025). IRNet: Iterative Refinement Network for Noisy Partial Label Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(2). 1932–1948.
2.
Lian, Zheng, et al.. (2024). GPT-4V with emotion: A zero-shot benchmark for Generalized Emotion Recognition. Information Fusion. 108. 102367–102367. 23 indexed citations
3.
Sun, Licai, Zheng Lian, Bin Liu, & Jianhua Tao. (2024). HiCMAE: Hierarchical Contrastive Masked Autoencoder for self-supervised Audio-Visual Emotion Recognition. Information Fusion. 108. 102382–102382. 16 indexed citations
4.
Lian, Zheng, Licai Sun, Hao Gu, et al.. (2024). MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition. 41–48. 4 indexed citations
5.
Sun, Licai, et al.. (2024). SVFAP: Self-Supervised Video Facial Affect Perceiver. IEEE Transactions on Affective Computing. 16(1). 405–422. 8 indexed citations
6.
7.
8.
Lian, Zheng, et al.. (2023). Exclusive Modeling for MuSe-Personalisation Challenge. 73–80. 1 indexed citations
9.
Lian, Zheng, Licai Sun, Jiangyan Yi, et al.. (2023). MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learning. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 9610–9614. 28 indexed citations
10.
Lian, Zheng, Bin Liu, Ying Li, et al.. (2023). EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition. 3597–3601. 5 indexed citations
11.
Sun, Licai, et al.. (2023). Integrating VideoMAE based model and Optical Flow for Micro- and Macro-expression Spotting. 9576–9580. 7 indexed citations
12.
Lian, Zheng, Lan Chen, Licai Sun, Bin Liu, & Jianhua Tao. (2023). GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 1–14. 87 indexed citations breakdown →
13.
Sun, Licai, Zheng Lian, Bin Liu, & Jianhua Tao. (2023). MAE-DFER: Efficient Masked Autoencoder for Self-supervised Dynamic Facial Expression Recognition. 6110–6121. 30 indexed citations
14.
Sun, Licai, Zheng Lian, Bin Liu, et al.. (2022). Multimodal Temporal Attention in Sentiment Analysis. 61–66. 17 indexed citations
15.
16.
Sun, Licai, Bin Liu, Jianhua Tao, & Zheng Lian. (2021). Multimodal Cross- and Self-Attention Network for Speech Emotion Recognition. 4275–4279. 46 indexed citations
17.
Sun, Licai, Zheng Lian, Bin Liu, et al.. (2021). Multimodal Emotion Recognition and Sentiment Analysis via Attention Enhanced Recurrent Model. 15–20. 27 indexed citations
18.
Cai, Cong, Licai Sun, Zheng Lian, et al.. (2021). Multimodal Sentiment Analysis based on Recurrent Neural Network and Multimodal Attention. 61–67. 17 indexed citations
19.
Sun, Licai, Zheng Lian, Jianhua Tao, Bin Liu, & Mingyue Niu. (2020). Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism. 27–34. 53 indexed citations
20.
Sun, Licai, et al.. (2019). Modulation of muscle synergies with direction and distance during reaching movements. 1146–1150. 2 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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