Yanfeng Sun

3.6k total citations · 1 hit paper
187 papers, 2.4k citations indexed

About

Yanfeng Sun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Yanfeng Sun has authored 187 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Computer Vision and Pattern Recognition, 51 papers in Artificial Intelligence and 28 papers in Computational Mechanics. Recurrent topics in Yanfeng Sun's work include Face and Expression Recognition (61 papers), Face recognition and analysis (26 papers) and Advanced Image and Video Retrieval Techniques (23 papers). Yanfeng Sun is often cited by papers focused on Face and Expression Recognition (61 papers), Face recognition and analysis (26 papers) and Advanced Image and Video Retrieval Techniques (23 papers). Yanfeng Sun collaborates with scholars based in China, Australia and United States. Yanfeng Sun's co-authors include Baocai Yin, Yongli Hu, Junbin Gao, Kan Guo, Sean Qian, Boyue Wang, Ke Zhang, Hao Liu, Hengliang Tang and Hao Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemical Engineering Journal and IEEE Transactions on Image Processing.

In The Last Decade

Yanfeng Sun

170 papers receiving 2.3k citations

Hit 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.

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

2020 268 citations Kan Guo, Yongli Hu et al. IEEE Transactions on Intelligent Transportation Systems profile →

Peers

Countries citing papers authored by Yanfeng Sun

Since Specialization

Citations

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

Fields of papers citing papers by Yanfeng Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanfeng Sun

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Contrastive activation maps with superpixel rectification for weakly supervised semantic segmentation: When superpixels meet CAMs 2025 ·Digital Signal Processing ·(unknown), (unknown), Shaofan Wang, Yanfeng Sun, Baocai Yin	0
2	DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations 2024 ·IEEE Transactions on Big Data ·Jinlu Wang, (unknown), Yanfeng Sun, Junbin Gao, Shaofan Wang, (unknown), Baocai Yin	2
3	A dual attentional skip connection based Swin‐UNet for real‐time cloud segmentation 2024 ·IET Image Processing ·(unknown), Shaofan Wang, Yanfeng Sun, Baocai Yin	3
4	CFMMC-Align: Coarse-Fine Multi-Modal Contrastive Alignment Network for Traffic Event Video Question Answering 2024 ·IEEE Transactions on Circuits and Systems for Video Technology ·Kan Guo, Daxin Tian, Yongli Hu, Chunmian Lin, Yanfeng Sun, Jianshan Zhou, Xuting Duan, Junbin Gao, Baocai Yin	7
5	Hierarchical Multi-Modal Prompting Transformer for Multi-Modal Long Document Classification 2024 ·IEEE Transactions on Circuits and Systems for Video Technology ·Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin	5
6	Graph transformer based dynamic multiple graph convolution networks for traffic flow forecasting 2023 ·IET Intelligent Transport Systems ·Yongli Hu, (unknown), Kan Guo, Yanfeng Sun, Junbin Gao, Baocai Yin	9
7	A tensorial weighted Schatten-p norm model with neighbor regularization for traffic data completion and traffic system correlation exploration 2023 ·Neurocomputing ·Xiaolin Zhang, (unknown), Shaofan Wang, Yanfeng Sun, Baocai Yin	1
8	See and Learn More: Dense Caption-Aware Representation for Visual Question Answering 2023 ·IEEE Transactions on Circuits and Systems for Video Technology ·(unknown), Huajie Jiang, Yongli Hu, Yanfeng Sun, Baocai Yin	13
9	Breaking the Barrier Between Pre-training and Fine-tuning: A Hybrid Prompting Model for Knowledge-Based VQA 2023 ·(unknown), Yongli Hu, (unknown), Huajie Jiang, Junbin Gao, Yanfeng Sun, Baocai Yin	2
10	Adaptive hypergraph superpixels 2023 ·Displays ·Shaofan Wang, Jiaqi Lan, Lin Jing, (unknown), Lichun Wang, Yanfeng Sun, Baocai Yin	2
11	Hierarchical Graph Convolutional Networks for Structured Long Document Classification 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Tengfei Liu, Yongli Hu, Boyue Wang, Yanfeng Sun, Junbin Gao, Baocai Yin	12
12	Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering 2022 ·Journal of Visual Communication and Image Representation ·Yongli Hu, Cuicui Luo, Junbin Gao, Boyue Wang, Yanfeng Sun, Baocai Yin	0
13	Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization 2021 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin	35
14	Robust CAPTCHAs Towards Malicious OCR 2020 ·IEEE Transactions on Multimedia ·(unknown), Jitao Sang, (unknown), (unknown), (unknown), Yanfeng Sun, Yongli Hu, (unknown)	17
15	Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering 2020 ·IEEE Transactions on Multimedia ·Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, (unknown), Baocai Yin	30
16	Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction breakdown → 2020 ·IEEE Transactions on Intelligent Transportation Systems ·Kan Guo, Yongli Hu, Sean Qian, Hao Liu, Ke Zhang, Yanfeng Sun, Junbin Gao, Baocai Yin	268
17	Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data 2019 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin	3
18	Constructing of Dyes Suitable for Eco-friendly Dyeing Wool Fibers in Supercritical Carbon Dioxide 2018 ·ACS Sustainable Chemistry & Engineering ·(unknown), Lihua Lv, (unknown), (unknown), Xinhua Lin, Jun Yan, Hongjuan Zhao, Fengling Song, Yanfeng Sun, Xiaoqing Xiong, Laijiu Zheng	11
19	Ordered Subspace Clustering With Block-Diagonal Priors 2015 ·IEEE Transactions on Cybernetics ·Fei Wu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin	27
20	Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling 2014 ·Sensors ·(unknown), Yongli Hu, Yanfeng Sun, Baocai Yin, Junbin Gao	37

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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