Yante Li

858 total citations
20 papers, 475 citations indexed

About

Yante Li is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Yante Li has authored 20 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Experimental and Cognitive Psychology and 4 papers in Social Psychology. Recurrent topics in Yante Li's work include Emotion and Mood Recognition (12 papers), Face and Expression Recognition (7 papers) and Face recognition and analysis (5 papers). Yante Li is often cited by papers focused on Emotion and Mood Recognition (12 papers), Face and Expression Recognition (7 papers) and Face recognition and analysis (5 papers). Yante Li collaborates with scholars based in Finland, China and United States. Yante Li's co-authors include Guoying Zhao, Xiaohua Huang, Yang Liu, Qianru Xu, Janne Kauttonen, Xiaobai Li, Maja Pantić, Matti Pietikäinen, Shiyang Cheng and Wei Peng and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and Neurocomputing.

In The Last Decade

Yante Li

18 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yante Li Finland	10	263	249	127	71	65	20	475
Jingting Li China	12	212 0.8×	302 1.2×	132 1.0×	43 0.6×	56 0.9×	35	455
Anh Cat Le Ngo Malaysia	11	294 1.1×	300 1.2×	89 0.7×	93 1.3×	72 1.1×	15	469
Cliff Lansley United Kingdom	4	354 1.3×	351 1.4×	106 0.8×	95 1.3×	61 0.9×	6	522
Mohan Karnati India	11	308 1.2×	324 1.3×	107 0.8×	39 0.5×	38 0.6×	27	609
Senya Polikovsky Japan	5	193 0.7×	251 1.0×	56 0.4×	81 1.1×	39 0.6×	9	352
Wissam J. Baddar South Korea	6	314 1.2×	329 1.3×	69 0.5×	99 1.4×	45 0.7×	14	450
Min Peng China	11	156 0.6×	253 1.0×	119 0.9×	39 0.5×	61 0.9×	29	455
Huai-Qian Khor Malaysia	6	282 1.1×	254 1.0×	107 0.8×	79 1.1×	53 0.8×	7	401
Yee-Hui Oh Malaysia	7	235 0.9×	239 1.0×	79 0.6×	86 1.2×	58 0.9×	8	350
S L Happy India	10	528 2.0×	559 2.2×	104 0.8×	94 1.3×	60 0.9×	17	771

Countries citing papers authored by Yante Li

Since Specialization

Citations

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

Fields of papers citing papers by Yante Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yante Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yante Li. A scholar is included among the top collaborators of Yante 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 Yante Li. Yante Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Yante, et al.. (2025). Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection. 27346–27356.

Li, Yante, et al.. (2024). Interactions for Socially Shared Regulation in Collaborative Learning: An Interdisciplinary Multimodal Dataset. ACM Transactions on Interactive Intelligent Systems. 14(3). 1–34. 2 indexed citations

Li, Yante, et al.. (2023). Emotional Synchrony Through Regulatory Triggers in Collaborative Learning: A Facial Expression Recognition Study. Proceedings.. 1038–1041. 1 indexed citations

Peng, Wei, et al.. (2023). Geometric Graph Representation With Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition. IEEE Transactions on Affective Computing. 15(3). 1343–1357. 9 indexed citations

Li, Yante, et al.. (2023). Data Leakage and Evaluation Issues in Micro-Expression Analysis. IEEE Transactions on Affective Computing. 15(1). 186–197. 4 indexed citations

Zhao, Guoying, Xiaobai Li, Yante Li, & Matti Pietikäinen. (2023). Facial Micro-Expressions: An Overview. Proceedings of the IEEE. 111(10). 1215–1235. 18 indexed citations

Li, Yante, et al.. (2022). Deep Learning for Micro-Expression Recognition: A Survey. IEEE Transactions on Affective Computing. 13(4). 2028–2046. 66 indexed citations

Liu, Yang, et al.. (2022). Graph-Based Facial Affect Analysis: A Review. IEEE Transactions on Affective Computing. 14(4). 2657–2677. 21 indexed citations

Li, Xiaobai, Shiyang Cheng, Yante Li, et al.. (2022). 4DME: A Spontaneous 4D Micro-Expression Dataset With Multimodalities. IEEE Transactions on Affective Computing. 14(4). 3031–3047. 36 indexed citations

10.

Zhao, Guoying, Yante Li, & Qianru Xu. (2022). From Emotion AI to Cognitive AI. 65–72. 49 indexed citations

11.

Li, Jingting, Moi Hoon Yap, Wen-Huang Cheng, et al.. (2022). MEGC2022. Proceedings of the 30th ACM International Conference on Multimedia. 7170–7174. 14 indexed citations

12.

Liu, Yang, et al.. (2021). Graph-based Facial Affect Analysis: A Review of Methods, Applications and Challenges.. arXiv (Cornell University). 2 indexed citations

13.

Li, Yante, Xiaohua Huang, & Guoying Zhao. (2021). Micro-expression action unit detection with spatial and channel attention. Neurocomputing. 436. 221–231. 42 indexed citations

14.

Liu, Yang, et al.. (2021). Graph-based Facial Affect Analysis: A Review. arXiv (Cornell University).

15.

Li, Yante & Guoying Zhao. (2021). Intra- and Inter-Contrastive Learning for Micro-expression Action Unit Detection. University of Oulu Repository (University of Oulu). 702–706. 3 indexed citations

16.

Li, Yante, Wei Peng, & Guoying Zhao. (2021). Micro-expression Action Unit Detection with Dual-view Attentive Similarity-Preserving Knowledge Distillation. University of Oulu Repository (University of Oulu). 1–8. 8 indexed citations

17.

Li, Yante, Xiaohua Huang, & Guoying Zhao. (2020). Joint Local and Global Information Learning With Single Apex Frame Detection for Micro-Expression Recognition. IEEE Transactions on Image Processing. 30. 249–263. 108 indexed citations

18.

Li, Yante, Xiaohua Huang, & Guoying Zhao. (2018). Can Micro-Expression be Recognized Based on Single Apex Frame?. University of Oulu Repository (University of Oulu). 3094–3098. 75 indexed citations

19.

Li, Zongmin, et al.. (2016). Cross-scenario clothing retrieval and fine-grained style recognition. 2912–2917. 12 indexed citations

20.

Li, Zongmin, Weiwei Tian, Yante Li, Zhenzhong Kuang, & Yujie Liu. (2015). A More Effective Method for Image Representation: Topic Model Based on Latent Dirichlet Allocation. 143–148. 5 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.

Explore authors with similar magnitude of impact