Guorui Feng

4.1k total citations · 1 hit paper
169 papers, 2.8k citations indexed

About

Guorui Feng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Guorui Feng has authored 169 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Computer Vision and Pattern Recognition, 51 papers in Artificial Intelligence and 23 papers in Signal Processing. Recurrent topics in Guorui Feng's work include Advanced Steganography and Watermarking Techniques (77 papers), Digital Media Forensic Detection (60 papers) and Chaos-based Image/Signal Encryption (46 papers). Guorui Feng is often cited by papers focused on Advanced Steganography and Watermarking Techniques (77 papers), Digital Media Forensic Detection (60 papers) and Chaos-based Image/Signal Encryption (46 papers). Guorui Feng collaborates with scholars based in China, Singapore and Australia. Guorui Feng's co-authors include Xinpeng Zhang, Yanli Ren, Zhenxing Qian, Guang-Bin Huang, Qingping Lin, Robert Gay, Zhenxing Qian, Shuozhong Wang, Hanzhou Wu and Yalan Qin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Guorui Feng

153 papers receiving 2.7k 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.

Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning

2009 496 citations Guorui Feng, Guang-Bin Huang et al. IEEE Transactions on Neural Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guorui Feng China	26	1.9k	1.0k	264	198	166	169	2.8k
Baoyuan Wu China	28	2.0k 1.1×	1.5k 1.4×	129 0.5×	300 1.5×	112 0.7×	74	2.9k
Peng Hu China	26	2.2k 1.2×	1.4k 1.3×	90 0.3×	166 0.8×	225 1.4×	88	3.0k
宏治津田 Japan	1	867 0.5×	1.1k 1.0×	143 0.5×	165 0.8×	68 0.4×	2	2.0k
K. V. Arya India	24	848 0.5×	615 0.6×	144 0.5×	174 0.9×	272 1.6×	135	1.8k
Yong Luo China	22	1.2k 0.6×	1.0k 1.0×	104 0.4×	123 0.6×	311 1.9×	116	2.1k
Patrick Bas France	18	2.3k 1.2×	1.0k 1.0×	280 1.1×	161 0.8×	142 0.9×	65	3.0k
Rajat Raina United States	10	823 0.4×	1.2k 1.2×	126 0.5×	234 1.2×	128 0.8×	11	2.0k
Stefano Rovetta Italy	17	670 0.4×	791 0.8×	212 0.8×	256 1.3×	243 1.5×	103	1.6k
Yuandong Tian United States	20	1.4k 0.7×	888 0.9×	185 0.7×	81 0.4×	104 0.6×	47	1.9k

Countries citing papers authored by Guorui Feng

Since Specialization

Citations

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

Fields of papers citing papers by Guorui Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guorui Feng

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

Hua, Guang, et al.. (2025). A Key-Driven Framework for Identity-Preserving Face Anonymization. Figshare. 1 indexed citations

Qin, Yalan, Nan Pu, Nicu Sebe, & Guorui Feng. (2025). Latent Space Learning-Based Ensemble Clustering. IEEE Transactions on Image Processing. 34. 1259–1270. 3 indexed citations

Wu, Jiang, et al.. (2025). Frequency-Enhanced Network for cross-view geolocalization. Measurement. 254. 117736–117736.

Wang, Miaomiao, Sheng Li, Xinpeng Zhang, & Guorui Feng. (2025). Facial privacy in the digital era: A comprehensive survey on methods, evaluation, and future directions. Computer Science Review. 58. 100785–100785. 2 indexed citations

Ren, Yanli, Zhe Yang, Guorui Feng, & Xinpeng Zhang. (2025). PurifyFL: Non-Interactive Privacy-Preserving Federated Learning Against Poisoning Attacks Based on Single Server. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(3). 2232–2243. 1 indexed citations

Ren, Yanli, et al.. (2024). BPFL: Blockchain-based privacy-preserving federated learning against poisoning attack. Information Sciences. 665. 120377–120377. 13 indexed citations

Feng, Guorui, et al.. (2024). Sample selection of adversarial attacks against traffic signs. Neural Networks. 180. 106698–106698.

Qin, Chuan, et al.. (2024). SMDC-Net: Saliency-Guided Multihead Distribution Calibration Network for Few-Shot Object Detection on Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 6 indexed citations

Feng, Guorui, et al.. (2024). Clustering-Based Dual-Population Co-Evolutionary Algorithm for 2D Segmentation Coding in NAND Flash Memory. IEEE Transactions on Circuits & Systems II Express Briefs. 71(7). 3603–3607. 1 indexed citations

10.

Zhang, Xinpeng, et al.. (2024). Image Steganography and Style Transformation Based on Generative Adversarial Network. Mathematics. 12(4). 615–615. 5 indexed citations

11.

Ren, Yanli, et al.. (2023). Privacy-enhanced and non-interactive linear regression with dropout-resilience. Information Sciences. 632. 69–86. 4 indexed citations

12.

Ren, Yanli, et al.. (2023). Traffic sign attack via pinpoint region probability estimation network. Pattern Recognition. 146. 110035–110035. 6 indexed citations

13.

Ren, Yanli, et al.. (2023). BFDAC: A Blockchain-Based and Fog-Computing-Assisted Data Access Control Scheme in Vehicular Social Networks. IEEE Internet of Things Journal. 11(2). 3510–3523. 14 indexed citations

14.

Qin, Chuan, et al.. (2023). EPFNet: Edge-Prototype Fusion Network Toward Few-Shot Semantic Segmentation for Aerial Remote-Sensing Images. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 8 indexed citations

15.

Feng, Guorui, et al.. (2023). Background-detail restoration image deraining network based on convolutional dictionary network. Signal Processing Image Communication. 119. 117057–117057. 2 indexed citations

16.

Feng, Guorui, et al.. (2023). A Fusion Deraining Network Based on Swin Transformer and Convolutional Neural Network. IEICE Transactions on Information and Systems. E106.D(7). 1254–1257. 1 indexed citations

17.

Feng, Guorui, et al.. (2022). Universal adversarial perturbation for remote sensing images. 1–6. 5 indexed citations

18.

Shen, Liquan, Guorui Feng, & Ping An. (2019). SHVC CU Processing Aided by a Feedforward Neural Network. IEEE Transactions on Industrial Informatics. 15(11). 5803–5815. 9 indexed citations

19.

Zhang, Haiyan, et al.. (2013). Matching pursuit time-frequency analysis of Lamb wave detection signals. 38(5). 576–582. 2 indexed citations

20.

Feng, Guorui, Guang-Bin Huang, Qingping Lin, & Robert Gay. (2009). Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning. IEEE Transactions on Neural Networks. 20(8). 1352–1357. 496 indexed citations breakdown →

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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