Jingting Li

948 total citations
35 papers, 455 citations indexed

About

Jingting Li is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Jingting Li has authored 35 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 17 papers in Experimental and Cognitive Psychology and 9 papers in Artificial Intelligence. Recurrent topics in Jingting Li's work include Emotion and Mood Recognition (16 papers), Face and Expression Recognition (9 papers) and Face recognition and analysis (7 papers). Jingting Li is often cited by papers focused on Emotion and Mood Recognition (16 papers), Face and Expression Recognition (9 papers) and Face recognition and analysis (7 papers). Jingting Li collaborates with scholars based in China, United Kingdom and Malaysia. Jingting Li's co-authors include Sujing Wang, Ying He, Xiaolan Fu, Moi Hoon Yap, Wen‐Jing Yan, Shucheng Huang, Renaud Séguier, John See, Xiaopeng Hong and Haiyong Xie and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Jingting Li

27 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingting Li China 12 302 212 132 56 43 35 455
Yante Li Finland 10 249 0.8× 263 1.2× 127 1.0× 65 1.2× 71 1.7× 20 475
Wissam J. Baddar South Korea 6 329 1.1× 314 1.5× 69 0.5× 45 0.8× 99 2.3× 14 450
Senya Polikovsky Japan 5 251 0.8× 193 0.9× 56 0.4× 39 0.7× 81 1.9× 9 352
Yee-Hui Oh Malaysia 7 239 0.8× 235 1.1× 79 0.6× 58 1.0× 86 2.0× 8 350
Dian Li China 6 440 1.5× 241 1.1× 161 1.2× 81 1.4× 34 0.8× 14 599
Cliff Lansley United Kingdom 4 351 1.2× 354 1.7× 106 0.8× 61 1.1× 95 2.2× 6 522
Marc Oliu Simón Spain 3 299 1.0× 270 1.3× 45 0.3× 47 0.8× 36 0.8× 3 426
Huai-Qian Khor Malaysia 6 254 0.8× 282 1.3× 107 0.8× 53 0.9× 79 1.8× 7 401
Qiangchang Wang China 5 273 0.9× 192 0.9× 49 0.4× 32 0.6× 25 0.6× 12 382
Shuhang Wu China 4 190 0.6× 168 0.8× 63 0.5× 42 0.8× 36 0.8× 12 293

Countries citing papers authored by Jingting Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingting Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingting Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jingting Li. A scholar is included among the top collaborators of Jingting 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 Jingting Li. Jingting 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.
Li, Jingting, et al.. (2025). Could Micro-Expressions Be Quantified? Electromyography Gives Affirmative Evidence. IEEE Transactions on Affective Computing. 16(4). 2959–2974.
2.
Li, Jingting, et al.. (2025). Parallel Spatiotemporal Network to recognize micro-expression. Neurocomputing. 636. 129891–129891.
3.
Fan, Xinqi, Jingting Li, John See, et al.. (2025). MEGC2025: Micro-Expression Grand Challenge on Spot Then Recognize and Visual Question Answering. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 13951–13956.
4.
Wang, Sujing, et al.. (2025). Micro-Expression Key Frame Inference. IEEE Transactions on Affective Computing. 16(3). 1955–1969.
5.
Zhang, Jiangtao, Jingting Li, Shangfeng Yang, et al.. (2025). Development and validation of an ARID1A-related immune genes risk model in evaluating prognosis and immune therapeutic efficacy for gastric cancer patients: a translational study. Frontiers in Immunology. 16. 1541491–1541491. 1 indexed citations
6.
Liu, Yuhang, Die Hu, Ding Zhou, et al.. (2025). Y-Net-ECG: A Multi-Lead informed and interpretable architecture for ECG segmentation across diverse rhythms. Expert Systems with Applications. 283. 127955–127955. 2 indexed citations
7.
Fan, Mingming, et al.. (2024). “Can It Be Customized According to My Motor Abilities?”: Toward Designing User-Defined Head Gestures for People with Dystonia. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–11.
8.
Wan, Yan, et al.. (2024). CDSD: Chinese Dysarthria Speech Database. 4109–4113.
9.
See, John, Jingting Li, Adrian K. Davison, et al.. (2024). MEGC2024: ACM Multimedia 2024 Facial Micro-Expression Grand Challenge. 11482–11483. 1 indexed citations
10.
Li, Jingting, et al.. (2024). Micro-expression recognition using dual-view self-supervised contrastive learning with intensity perception. Neurocomputing. 619. 129142–129142. 1 indexed citations
11.
Wang, Sujing, et al.. (2023). Cross-modal analysis of facial EMG in micro-expressions and data annotation algorithm. Advances in Psychological Science. 32(1). 1–1.
12.
Huang, Shucheng, et al.. (2023). A Perifacial EMG Acquisition System for Facial-Muscle-Movement Recognition. Sensors. 23(21). 8758–8758. 5 indexed citations
13.
Li, Jingting, et al.. (2023). Simple but Effective In-the-wild Micro-Expression Spotting Based on Head Pose Segmentation. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 9–16. 2 indexed citations
14.
Davison, Adrian K., Jingting Li, Moi Hoon Yap, et al.. (2023). FME '23: 3rd Facial Micro-Expression Workshop. 9736–9738.
15.
Wang, Gang, et al.. (2022). Spontaneous Facial Expressions and Micro-expressions Coding: From Brain to Face. Frontiers in Psychology. 12. 784834–784834. 12 indexed citations
16.
Li, Jingting, Ting Wang, & Sujing Wang. (2022). Facial Micro-Expression Recognition Based on Deep Local-Holistic Network. Applied Sciences. 12(9). 4643–4643. 19 indexed citations
17.
Li, Jingting, Moi Hoon Yap, Wen-Huang Cheng, et al.. (2021). FME'21. Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences). 5700–5701. 9 indexed citations
18.
Li, Jingting, Sujing Wang, Moi Hoon Yap, et al.. (2020). MEGC2020 - The Third Facial Micro-Expression Grand Challenge. University of Oulu Repository (University of Oulu). 777–780. 23 indexed citations
19.
Li, Jingting, et al.. (2019). A Survey on Databases for Facial Micro-Expression Analysis. 241–248. 2 indexed citations
20.
Wang, Yunhai, Jingting Li, Feiping Nie, et al.. (2017). Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data. Computer Graphics Forum. 36(3). 401–410. 23 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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