Jun-Yan He

753 total citations
18 papers, 479 citations indexed

About

Jun-Yan He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Jun-Yan He has authored 18 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Human-Computer Interaction. Recurrent topics in Jun-Yan He's work include Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Video Surveillance and Tracking Methods (3 papers). Jun-Yan He is often cited by papers focused on Human Pose and Action Recognition (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Video Surveillance and Tracking Methods (3 papers). Jun-Yan He collaborates with scholars based in China, United States and Hong Kong. Jun-Yan He's co-authors include Xiao Wu, Yu–Gang Jiang, Qiang Peng, Zhi-Qi Cheng, Ramesh Jain, Bo Zhao, Qi Dai, Jun-Xiu Li, Alexander G. Hauptmann and Chong‐Wah Ngo and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Jun-Yan He

15 papers receiving 463 citations

Peers

Jun-Yan He
Yoshito Mekada Japan
Mohamed El Ansari Morocco
Ayoub Ellahyani Morocco
Yutong Ban United States
Max Q.-H. Meng Hong Kong
Yanhong Luo China
Xiaobin Hu China
Jürgen Herp Denmark
Van-Dung Hoang South Korea
Yoshito Mekada Japan
Jun-Yan He
Citations per year, relative to Jun-Yan He Jun-Yan He (= 1×) peers Yoshito Mekada

Countries citing papers authored by Jun-Yan He

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Yan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun-Yan He

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

All Works

18 of 18 papers shown
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Cheng, Zhi-Qi, et al.. (2024). Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning. 110805–110853. 2 indexed citations
5.
He, Jun-Yan, Zhi-Qi Cheng, Wangmeng Xiang, et al.. (2023). PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation. 5542–5551. 22 indexed citations
6.
Cheng, Zhi-Qi, et al.. (2023). KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range Multilateration. 5746–5755. 3 indexed citations
7.
Chen, Binghui, Pengyu Li, Jun-Yan He, et al.. (2023). Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection. 3250–3260. 15 indexed citations
8.
He, Qi, et al.. (2022). Domain-Specific Conditional Jigsaw Adaptation for Enhancing transferability and Discriminability. Proceedings of the 30th ACM International Conference on Multimedia. 6327–6336. 3 indexed citations
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He, Qi, Qi Dai, Xiao Wu, & Jun-Yan He. (2021). A novel class restriction loss for unsupervised domain adaptation. Neurocomputing. 461. 254–265. 3 indexed citations
10.
He, Jun-Yan, et al.. (2021). MGSeg: Multiple Granularity-Based Real-Time Semantic Segmentation Network. IEEE Transactions on Image Processing. 30. 7200–7214. 30 indexed citations
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Wu, Xiao, et al.. (2020). SWNet: A Deep Learning Based Approach for Splashed Water Detection on Road. IEEE Transactions on Intelligent Transportation Systems. 23(4). 3012–3025. 11 indexed citations
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He, Jun-Yan, et al.. (2020). DB-LSTM: Densely-connected Bi-directional LSTM for human action recognition. Neurocomputing. 444. 319–331. 98 indexed citations
13.
Cheng, Zhi-Qi, Jun-Xiu Li, Qi Dai, et al.. (2019). Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting. 1897–1906. 67 indexed citations
14.
Sun, Guanglu, Jun-Yan He, Xiao Wu, Bo Zhao, & Qiang Peng. (2019). Learning fashion compatibility across categories with deep multimodal neural networks. Neurocomputing. 395. 237–246. 19 indexed citations
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Wu, Xiao, et al.. (2019). BranchGAN: Unsupervised Mutual Image-to-Image Transfer With A Single Encoder and Dual Decoders. IEEE Transactions on Multimedia. 21(12). 3136–3149. 32 indexed citations
16.
He, Jun-Yan, Xiao Wu, Yu–Gang Jiang, Qiang Peng, & Ramesh Jain. (2018). Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning. IEEE Transactions on Image Processing. 27(5). 2379–2392. 112 indexed citations
17.
He, Jun-Yan, Xiao Wu, Yu–Gang Jiang, Bo Zhao, & Qiang Peng. (2017). Sketch Recognition with Deep Visual-Sequential Fusion Model. 448–456. 21 indexed citations
18.
Wu, Xiao, Yuan Ping, Qiang Peng, Chong‐Wah Ngo, & Jun-Yan He. (2015). Detection of bird nests in overhead catenary system images for high-speed rail. Pattern Recognition. 51. 242–254. 41 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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2026