Jun Yu

13.7k total citations · 12 hit papers
276 papers, 9.5k citations indexed

About

Jun Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jun Yu has authored 276 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 212 papers in Computer Vision and Pattern Recognition, 83 papers in Artificial Intelligence and 18 papers in Media Technology. Recurrent topics in Jun Yu's work include Advanced Image and Video Retrieval Techniques (87 papers), Multimodal Machine Learning Applications (66 papers) and Human Pose and Action Recognition (47 papers). Jun Yu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (87 papers), Multimodal Machine Learning Applications (66 papers) and Human Pose and Action Recognition (47 papers). Jun Yu collaborates with scholars based in China, Australia and United States. Jun Yu's co-authors include Dacheng Tao, Yu Zhou, Yong Rui, Meng Wang, Jianping Fan, Chaoqun Hong, Jian Zhang, Qingming Huang, Fei Gao and Min Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Journal of Physical Chemistry B.

In The Last Decade

Jun Yu

256 papers receiving 9.4k citations

Hit Papers

5 papers align trajectories

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.

Multimodal Deep Autoencoder for Human Pose Recovery

2015 502 citations Chaoqun Hong, Jun Yu et al. IEEE Transactions on Image Processing profile →
Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering

2017 466 citations Yu Zhou, Jun Yu et al. profile →
Hierarchical Deep Click Feature Prediction for Fine-Grained Image Recognition

2019 461 citations Jun Yu, Yong Rui et al. profile →
Learning to Rank Using User Clicks and Visual Features for Image Retrieval

2014 389 citations Jun Yu, Dacheng Tao et al. IEEE Transactions on Cybernetics profile →
Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering

2018 380 citations Yu Zhou, Jun Yu et al. IEEE Transactions on Neural Networks and Learning Systems profile →
Multimodal Transformer With Multi-View Visual Representation for Image Captioning

2019 351 citations Jun Yu, Jing Li et al. IEEE Transactions on Circuits and Systems for Video Technology profile →
Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking

2016 333 citations Jun Yu, Fei Gao et al. IEEE Transactions on Cybernetics profile →
Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition

2019 290 citations Jun Yu, Chaoyang Zhu et al. IEEE Transactions on Neural Networks and Learning Systems profile →
Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning

2018 268 citations Chaoqun Hong, Jun Yu et al. IEEE Transactions on Industrial Informatics profile →
iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning

2016 263 citations Jun Yu et al. profile →
A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT

2024 178 citations Jun Yu et al. profile →
Prompting Large Language Models with Answer Heuristics for Knowledge-Based Visual Question Answering

2023 101 citations Yu Zhou, Meng Wang et al. profile →

Peers

Countries citing papers authored by Jun Yu

Since Specialization

Citations

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

Fields of papers citing papers by Jun Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yu. A scholar is included among the top collaborators of Jun Yu 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 Yu. Jun Yu 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

#	Work	Indexed citations
1	Adapter-Enhanced Hierarchical Cross-Modal Pre-Training for Lightweight Medical Report Generation 2025 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), Wu Lu, Yan Yang, Weidong Han, Qingming Huang, Jun Yu, Ke Zhang	1
2	Spatio-Temporal and Retrieval-Augmented Modeling for Chest X-Ray Report Generation 2025 ·IEEE Transactions on Medical Imaging ·Yan Yang, (unknown), Ke Zhang, Zhenqi Fu, (unknown), (unknown), (unknown), Yu Zhou, Qingming Huang, Weidong Han, Jun Yu	2
3	MDKAT: Multimodal Decoupling With Knowledge Aggregation and Transfer for Video Emotion Recognition 2025 ·IEEE Transactions on Circuits and Systems for Video Technology ·Jian Wang, Chenglong Wang, Lin Guo, (unknown), Dandan Wang, Shiqing Zhang, Xiaoming Zhao, Jun Yu, Yaowei Wang, Yi Yang, Siwei Ma, Qi Tian	4
4	Multi-Granularity Contrastive Cross-Modal Collaborative Generation for End-to-End Long-Term Video Question Answering 2024 ·IEEE Transactions on Image Processing ·(unknown), K. S. Fu, Jian Zhang, Qingming Huang, Jun Yu	4
5	Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach 2024 ·IEEE Transactions on Image Processing ·(unknown), Min Meng, Jun Yu, Jigang Wu	3
6	Attribute Prototype-Guided Iterative Scene Graph for Explainable Radiology Report Generation 2024 ·IEEE Transactions on Medical Imaging ·Ke Zhang, Yan Yang, Jun Yu, Jianping Fan, Hanliang Jiang, Qingming Huang, Weidong Han	9
7	CoDi: Contrastive Disentanglement Generative Adversarial Networks for Zero-Shot Sketch-Based 3D Shape Retrieval 2024 ·IEEE Transactions on Circuits and Systems for Video Technology ·Min Meng, Wenhang Chen, (unknown), Jun Yu, Jigang Wu	1
8	MSGA-Net: Progressive Feature Matching via Multi-Layer Sparse Graph Attention 2024 ·IEEE Transactions on Circuits and Systems for Video Technology ·(unknown), Guobao Xiao, (unknown), Riqing Chen, Jun Yu	2
9	Text-guided multimodal depression detection via cross-modal feature reconstruction and decomposition 2024 ·Information Fusion ·(unknown), Dandan Wang, (unknown), Shiqing Zhang, Xiaoming Zhao, Shuqiang Jiang, Jun Yu, Jun Xiao	12
10	Multi-level uncertainty aware learning for semi-supervised dental panoramic caries segmentation 2023 ·Neurocomputing ·(unknown), Sizhe Gao, (unknown), Huicong Zhang, Linhong Wang, Feng Chen, Jun Yu, Fan Yang	12
11	A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes 2023 ·IEEE Transactions on Circuits and Systems for Video Technology ·Ting Yu, Xiaojun Lin, Shuhui Wang, Weiguo Sheng, Qingming Huang, Jun Yu	8
12	Semi-Supervised Medical Report Generation via Graph-Guided Hybrid Feature Consistency 2023 ·IEEE Transactions on Multimedia ·Ke Zhang, Hanliang Jiang, Jian Zhang, Qingming Huang, Jianping Fan, Jun Yu, Weidong Han	30
13	Joint Embedding of Deep Visual and Semantic Features for Medical Image Report Generation 2021 ·IEEE Transactions on Multimedia ·Yan Yang, Jun Yu, Jian Zhang, Weidong Han, Hanliang Jiang, Qingming Huang	43
14	Toward Realistic Face Photo–Sketch Synthesis via Composition-Aided GANs 2020 ·IEEE Transactions on Cybernetics ·Jun Yu, (unknown), Fei Gao, (unknown), Meng Wang, Dacheng Tao, Qingming Huang	76
15	Long-Term Video Question Answering via Multimodal Hierarchical Memory Attentive Networks 2020 ·IEEE Transactions on Circuits and Systems for Video Technology ·Ting Yu, Jun Yu, Yu Zhou, Qingming Huang, Qi Tian	48
16	Multimodal Transformer With Multi-View Visual Representation for Image Captioning breakdown → 2019 ·IEEE Transactions on Circuits and Systems for Video Technology ·Jun Yu, Jing Li, Yu Zhou, Qingming Huang	351
17	Spatial Pyramid-Enhanced NetVLAD With Weighted Triplet Loss for Place Recognition breakdown → 2019 ·IEEE Transactions on Neural Networks and Learning Systems ·Jun Yu, Chaoyang Zhu, Jian Zhang, Qingming Huang, Dacheng Tao	290
18	Multimodal Face-Pose Estimation With Multitask Manifold Deep Learning breakdown → 2018 ·IEEE Transactions on Industrial Informatics ·Chaoqun Hong, Jun Yu, Jian Zhang, Xiongnan Jin, Kyong-Ho Lee	268
19	Multitask Autoencoder Model for Recovering Human Poses 2017 ·IEEE Transactions on Industrial Electronics ·Jun Yu, Chaoqun Hong, Yong Rui, Dacheng Tao	157
20	Constrained Low-Rank Learning Using Least Squares-Based Regularization 2016 ·IEEE Transactions on Cybernetics ·Ping Li, Jun Yu, Meng Wang, Luming Zhang, Deng Cai, Xuelong Li	19

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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