Jingwei Yan

606 total citations · 1 hit paper
12 papers, 455 citations indexed

About

Jingwei Yan is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Jingwei Yan has authored 12 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Experimental and Cognitive Psychology and 5 papers in Signal Processing. Recurrent topics in Jingwei Yan's work include Emotion and Mood Recognition (10 papers), Face and Expression Recognition (8 papers) and Face recognition and analysis (5 papers). Jingwei Yan is often cited by papers focused on Emotion and Mood Recognition (10 papers), Face and Expression Recognition (8 papers) and Face recognition and analysis (5 papers). Jingwei Yan collaborates with scholars based in China, Chile and Bangladesh. Jingwei Yan's co-authors include Wenming Zheng, Zhen Cui, Yuan Zong, Keyu Yan, Tong Zhang, Chuangao Tang, Tong Zhang, Tong Zhang, Jingjie Yan and Xiaohua Huang and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Multimedia and IEICE Transactions on Information and Systems.

In The Last Decade

Jingwei Yan

12 papers receiving 443 citations

Hit Papers

A Deep Neural Network-Driven Feature Learning Method for ... 2016 2026 2019 2022 2016 50 100 150 200
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. A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition
    2016 247 citations Tong Zhang, Wenming Zheng et al. IEEE Transactions on Multimedia profile →

Peers

Jingwei Yan
Yuanliu Liu China
Marc Oliu Simón Spain
Xiangju Lu China
Dian Li China
Yee-Hui Oh Malaysia
Wissam J. Baddar South Korea
Keith Anderson United States
Ling Lo Taiwan
Changbo Hu United States
Yuanliu Liu China
Jingwei Yan
Citations per year, relative to Jingwei Yan Jingwei Yan (= 1×) peers Yuanliu Liu

Countries citing papers authored by Jingwei Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jingwei Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwei Yan

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

All Works

12 of 12 papers shown
1.
Yan, Jingwei, Jingjing Wang, Qiang Li, Chunmao Wang, & Shiliang Pu. (2021). Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action Unit Recognition. 1038–1046. 7 indexed citations
2.
Wang, Jingjing, et al.. (2021). Deep Spiking Neural Network for High-Accuracy and Energy-Efficient Face Action Unit Recognition. 10. 1–7. 1 indexed citations
3.
Yan, Jingwei, Boyuan Jiang, Jingjing Wang, et al.. (2021). Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition. 10. 2005–2009. 3 indexed citations
4.
Yan, Jingwei, Wenming Zheng, Zhen Cui, et al.. (2018). Multi-cue fusion for emotion recognition in the wild. Neurocomputing. 309. 27–35. 72 indexed citations
5.
Yan, Jingwei, Wenming Zheng, Zhen Cui, & Peng Song. (2018). A Joint Convolutional Bidirectional LSTM Framework for Facial Expression Recognition. IEICE Transactions on Information and Systems. E101.D(4). 1217–1220. 10 indexed citations
6.
Tang, Chuangao, Wenming Zheng, Jingwei Yan, et al.. (2017). View-Independent Facial Action Unit Detection. 878–882. 21 indexed citations
7.
Yan, Jingwei, Wenming Zheng, Zhen Cui, et al.. (2016). Multi-clue fusion for emotion recognition in the wild. 458–463. 29 indexed citations
8.
Zong, Yuan, Wenming Zheng, Xiaohua Huang, et al.. (2016). Emotion recognition in the wild via sparse transductive transfer linear discriminant analysis. Journal on Multimodal User Interfaces. 10(2). 163–172. 20 indexed citations
9.
Zhang, Tong, Wenming Zheng, Zhen Cui, et al.. (2016). A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition. IEEE Transactions on Multimedia. 18(12). 2528–2536. 247 indexed citations breakdown →
10.
Zong, Yuan, Wenming Zheng, Xiaohua Huang, Jingwei Yan, & Tong Zhang. (2015). Transductive Transfer LDA with Riesz-based Volume LBP for Emotion Recognition in The Wild. 491–496. 9 indexed citations
11.
Zheng, Wenming, et al.. (2014). Facial Expression Recognition Based on Sparse Locality Preserving Projection. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. E97.A(7). 1650–1653. 6 indexed citations
12.
Yan, Jingjie, et al.. (2014). Integrating Facial Expression and Body Gesture in Videos for Emotion Recognition. IEICE Transactions on Information and Systems. E97.D(3). 610–613. 30 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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