Jufeng Yang

5.8k total citations · 2 hit papers
100 papers, 3.4k citations indexed

About

Jufeng Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jufeng Yang has authored 100 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Jufeng Yang's work include Advanced Image and Video Retrieval Techniques (19 papers), Sentiment Analysis and Opinion Mining (18 papers) and Image Retrieval and Classification Techniques (18 papers). Jufeng Yang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (19 papers), Sentiment Analysis and Opinion Mining (18 papers) and Image Retrieval and Classification Techniques (18 papers). Jufeng Yang collaborates with scholars based in China, United Kingdom and United States. Jufeng Yang's co-authors include Ming‐Ming Cheng, Dongyu She, Deng-Ping Fan, Jiangjiang Liu, Jiaxing Zhao, Yang Cao, Yu‐Kun Lai, Ming Sun, Paul L. Rosin and Xiaoping Wu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Image Processing.

In The Last Decade

Jufeng Yang

90 papers receiving 3.3k citations

Hit Papers

EGNet: Edge Guidance Network for Salient Object Detection 2019 2026 2021 2023 2019 2019 250 500 750
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. EGNet: Edge Guidance Network for Salient Object Detection
    2019 857 citations Jufeng Yang, Ming‐Ming Cheng et al. profile →
  2. IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition
    2019 311 citations Xiaoping Wu, Yu‐Kun Lai et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jufeng Yang China 26 2.1k 1.1k 336 277 277 100 3.4k
Haifeng Hu China 35 2.8k 1.3× 1.8k 1.5× 787 2.3× 109 0.4× 108 0.4× 309 5.4k
Weiyao Lin China 32 3.6k 1.7× 1.8k 1.6× 206 0.6× 96 0.3× 49 0.2× 166 4.5k
Hartwig Adam United States 20 2.7k 1.3× 1.2k 1.1× 97 0.3× 137 0.5× 95 0.3× 36 3.8k
Siniša Todorović United States 38 3.2k 1.5× 1.4k 1.2× 164 0.5× 72 0.3× 119 0.4× 108 4.4k
Shuqiang Jiang China 36 2.6k 1.3× 948 0.8× 75 0.2× 82 0.3× 206 0.7× 233 4.1k
Pawan Kumar Singh India 30 1.2k 0.5× 1.2k 1.0× 140 0.4× 103 0.4× 30 0.1× 120 2.6k
Qijun Zhao China 27 2.1k 1.0× 346 0.3× 134 0.4× 218 0.8× 72 0.3× 167 2.8k
Hugo Jair Escalante Mexico 29 1.3k 0.6× 1.2k 1.0× 211 0.6× 107 0.4× 65 0.2× 158 2.9k
Hailin Jin United States 38 5.5k 2.6× 1.6k 1.4× 171 0.5× 374 1.4× 23 0.1× 103 6.5k
Jean‐Marc Odobez Switzerland 33 3.4k 1.6× 1.2k 1.0× 186 0.6× 217 0.8× 37 0.1× 200 5.0k

Countries citing papers authored by Jufeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jufeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jufeng Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jufeng Yang. A scholar is included among the top collaborators of Jufeng Yang 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 Jufeng Yang. Jufeng Yang 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.
Shao, Hao, et al.. (2025). MCANet: Medical Image Segmentation with Multi-scale Cross-axis Attention. 22(3). 437–451. 3 indexed citations
2.
Zhou, Shihao, et al.. (2025). A Polarization-Aided Transformer for Image Deblurring via Motion Vector Decomposition. 28061–28070. 1 indexed citations
3.
Qin, Rong, Xingyu Liu, Jinglei Shi, Liang Lin, & Jufeng Yang. (2025). Boosting the Dual-Stream Architecture in Ultra-High Resolution Segmentation with Resolution-Biased Uncertainty Estimation. 25960–25970.
4.
Yang, Jufeng, et al.. (2024). Enhancing Dimensional Image Emotion Detection With a Low-Resource Dataset via Two-Stage Training. IEEE Transactions on Cognitive and Developmental Systems. 17(3). 455–464. 1 indexed citations
5.
6.
Paudel, Danda Pani, et al.. (2024). ExtDM: Distribution Extrapolation Diffusion Model for Video Prediction. 19310–19320. 11 indexed citations
7.
Zhang, Zhicheng, et al.. (2024). MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation. 12830–12840. 9 indexed citations
8.
Yang, Jufeng, et al.. (2023). Fused deep neural networks for sustainable and computational management of heat-transfer pipeline diagnosis. Developments in the Built Environment. 14. 100144–100144. 11 indexed citations
9.
Yao, Hongxun, Weihong Deng, Xiaopeng Hong, et al.. (2022). An overview of research development of affective computing and understanding. Journal of Image and Graphics. 27(6). 2008–2035. 4 indexed citations
10.
Wang, Lijuan, et al.. (2021). Multimodal Event-Aware Network for Sentiment Analysis in Tourism. IEEE Multimedia. 28(2). 49–58. 8 indexed citations
11.
Wu, Xiaoping, Jianlong Chang, Yu‐Kun Lai, Jufeng Yang, & Qi Tian. (2021). BiSPL: Bidirectional Self-Paced Learning for Recognition From Web Data. IEEE Transactions on Image Processing. 30. 6512–6527. 8 indexed citations
12.
Guo, Wenya, Ying Zhang, Jufeng Yang, & Xiaojie Yuan. (2021). Re-Attention for Visual Question Answering. IEEE Transactions on Image Processing. 30. 6730–6743. 68 indexed citations
13.
Xue, Jing‐Hao, et al.. (2021). SSL++: Improving Self-Supervised Learning by Mitigating the Proxy Task-Specificity Problem. IEEE Transactions on Image Processing. 31. 1134–1148. 20 indexed citations
14.
Zhao, Sicheng, Xiangyu Yue, Chuang Lin, et al.. (2021). Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation. IEEE Transactions on Cybernetics. 52(10). 10000–10013. 15 indexed citations
15.
She, Dongyu, et al.. (2020). Adaptive Deep Metric Learning for Affective Image Retrieval and Classification. IEEE Transactions on Multimedia. 23. 1640–1653. 40 indexed citations
16.
Guo, Wenya, Ying Zhang, Xiangrui Cai, et al.. (2020). LD-MAN: Layout-Driven Multimodal Attention Network for Online News Sentiment Recognition. IEEE Transactions on Multimedia. 23. 1785–1798. 41 indexed citations
17.
Zhao, Sicheng, et al.. (2020). APSE: Attention-Aware Polarity-Sensitive Embedding for Emotion-Based Image Retrieval. IEEE Transactions on Multimedia. 23. 4469–4482. 13 indexed citations
18.
She, Dongyu, Jufeng Yang, Ming‐Ming Cheng, et al.. (2019). WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection. IEEE Transactions on Multimedia. 22(5). 1358–1371. 74 indexed citations
19.
Yang, Jufeng, Dongyu She, Ming Sun, et al.. (2018). Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions. IEEE Transactions on Multimedia. 20(9). 2513–2525. 134 indexed citations
20.
Yang, Jufeng, Dongyu She, Yu‐Kun Lai, Paul L. Rosin, & Ming–Hsuan Yang. (2018). Weakly Supervised Coupled Networks for Visual Sentiment Analysis. ORCA Online Research @Cardiff (Cardiff University). 7584–7592. 110 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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