Weifeng Ge

2.4k total citations · 1 hit paper
28 papers, 901 citations indexed

About

Weifeng Ge is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Weifeng Ge has authored 28 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Weifeng Ge's work include Advanced Image and Video Retrieval Techniques (9 papers), Advanced Neural Network Applications (8 papers) and Multimodal Machine Learning Applications (6 papers). Weifeng Ge is often cited by papers focused on Advanced Image and Video Retrieval Techniques (9 papers), Advanced Neural Network Applications (8 papers) and Multimodal Machine Learning Applications (6 papers). Weifeng Ge collaborates with scholars based in China, Hong Kong and Italy. Weifeng Ge's co-authors include Yizhou Yu, Xiangru Lin, Yixuan Sun, Shuyong Gao, Wenqiang Zhang, Wei Zhang, Wei Song, Gangming Zhao, Antonio Liotta and Dawei Yang and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Ecotoxicology and Environmental Safety.

In The Last Decade

Weifeng Ge

25 papers receiving 886 citations

Hit Papers

A systematic review on affective computing: emotion model... 2022 2026 2023 2024 2022 50 100 150 200 250
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 systematic review on affective computing: emotion models, databases, and recent advances
    2022 298 citations Wei Song, Antonio Liotta 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
Weifeng Ge China 12 485 303 265 101 58 28 901
Deepak Ghimire South Korea 13 492 1.0× 146 0.5× 275 1.0× 59 0.6× 29 0.5× 36 843
Vassilios Vonikakis Singapore 13 593 1.2× 142 0.5× 250 0.9× 73 0.7× 38 0.7× 29 834
Hang-Bong Kang South Korea 14 404 0.8× 153 0.5× 105 0.4× 79 0.8× 86 1.5× 69 818
Taskeed Jabid Bangladesh 17 832 1.7× 141 0.5× 268 1.0× 26 0.3× 31 0.5× 49 1.2k
Songfan Yang United States 19 1.0k 2.1× 311 1.0× 185 0.7× 41 0.4× 29 0.5× 41 1.3k
Jenn-Jier James Lien Taiwan 12 480 1.0× 66 0.2× 196 0.7× 47 0.5× 26 0.4× 41 658
Adrian Bulat United Kingdom 15 517 1.1× 179 0.6× 83 0.3× 47 0.5× 20 0.3× 25 923
Evangelos Ververas United Kingdom 8 826 1.7× 116 0.4× 181 0.7× 68 0.7× 48 0.8× 10 1.0k
Haytham M. Fayek Australia 13 190 0.4× 346 1.1× 306 1.2× 64 0.6× 40 0.7× 39 881

Countries citing papers authored by Weifeng Ge

Since Specialization
Citations

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

Fields of papers citing papers by Weifeng Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weifeng Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Weifeng Ge. A scholar is included among the top collaborators of Weifeng Ge 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 Weifeng Ge. Weifeng Ge 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.
Ge, Weifeng, et al.. (2025). CPE-Pro: A Structure-Sensitive Deep Learning Method for Protein Representation and Origin Evaluation. Interdisciplinary Sciences Computational Life Sciences. 18(1). 195–210.
2.
3.
Zhen, Shihan, Na Li, Li Yan, et al.. (2024). Maternal exposure to fine particulate matter before and during pregnancy, and the risk of birth defects: A population-based study. Ecotoxicology and Environmental Safety. 289. 117408–117408. 1 indexed citations
4.
Ge, Weifeng, et al.. (2024). Object-Centric Cross-Modal Knowledge Reasoning for Future Event Prediction in Videos. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13324–13337. 2 indexed citations
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Fu, Yanwei, et al.. (2023). RankDNN: Learning to Rank for Few-Shot Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 728–736. 14 indexed citations
8.
Cai, Hua, et al.. (2023). Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge. 7858–7873. 4 indexed citations
9.
Sun, Yixuan, et al.. (2023). MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence. 34. 7121–7130. 1 indexed citations
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Sun, Yixuan, Zhangyue Yin, Yi‐Wen Huang, et al.. (2023). Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution. 17787–17796. 5 indexed citations
12.
Zhao, Dongyang, et al.. (2022). Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9109–9119. 33 indexed citations
13.
Wang, Yan, Yixuan Sun, Wei Song, et al.. (2022). DPCNet: Dual Path Multi-Excitation Collaborative Network for Facial Expression Representation Learning in Videos. Proceedings of the 30th ACM International Conference on Multimedia. 101–110. 39 indexed citations
14.
Wang, Yan, Wei Song, Wei Tao, et al.. (2022). A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances. arXiv (Cornell University). 2 indexed citations
15.
Ge, Weifeng, Weilin Huang, Sheng Guo, & Matthew R. Scott. (2019). Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation. 3344–3353. 39 indexed citations
16.
Jiang, Peng, Lei Wu, Yi He, et al.. (2019). A novel QTL on chromosome 5AL of Yangmai 158 increases resistance to Fusarium head blight in wheat. Plant Pathology. 69(2). 249–258. 23 indexed citations
17.
Ge, Weifeng, Xiangru Lin, & Yizhou Yu. (2019). Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up. 3029–3038. 211 indexed citations
18.
Ge, Weifeng, Zhenhua Guo, Yuhan Dong, & Youbin Chen. (2016). Dynamic background estimation and complementary learning for pixel-wise foreground/background segmentation. Pattern Recognition. 59. 112–125. 26 indexed citations
19.
Ge, Weifeng, Yuhan Dong, Zhenhua Guo, & Youbin Chen. (2014). Background Subtraction with Dynamic Noise Sampling and Complementary Learning. 94. 2341–2346. 4 indexed citations
20.
Dong, Yingying, et al.. (2014). Photodynamic therapy inhibits the formation of hypertrophic scars in rabbit ears by regulating metalloproteinases and tissue inhibitor of metalloproteinase-1. Clinical and Experimental Dermatology. 39(2). 196–201. 18 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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