Yongfei Wu

458 total citations
47 papers, 322 citations indexed

About

Yongfei Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yongfei Wu has authored 47 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yongfei Wu's work include AI in cancer detection (16 papers), Medical Image Segmentation Techniques (7 papers) and Smart Grid Energy Management (6 papers). Yongfei Wu is often cited by papers focused on AI in cancer detection (16 papers), Medical Image Segmentation Techniques (7 papers) and Smart Grid Energy Management (6 papers). Yongfei Wu collaborates with scholars based in China, Macao and Saudi Arabia. Yongfei Wu's co-authors include Chuanjiang He, Xilin Liu, Wenying Wen, Wen Zheng, Yushu Zhang, Yantao Li, Xueyu Liu, Junxin Chen, Shoujun Huang and Hao Fang and has published in prestigious journals such as Applied Energy, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Yongfei Wu

39 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongfei Wu China 11 197 77 35 34 33 47 322
Yongfei Wu China 10 263 1.3× 55 0.7× 13 0.4× 38 1.1× 36 1.1× 31 361
Mingyan Jiang China 8 82 0.4× 71 0.9× 41 1.2× 9 0.3× 82 2.5× 41 297
Darian M. Onchiş Romania 12 95 0.5× 70 0.9× 19 0.5× 9 0.3× 26 0.8× 46 319
K. Vijayan Asari United States 10 239 1.2× 42 0.5× 58 1.7× 82 2.4× 16 0.5× 41 420
Kamal Hammouche Algeria 7 352 1.8× 158 2.1× 18 0.5× 128 3.8× 39 1.2× 20 501
Ahmad Ali Pakistan 10 193 1.0× 74 1.0× 38 1.1× 45 1.3× 58 1.8× 31 319
Shailendra Tiwari India 11 150 0.8× 131 1.7× 19 0.5× 35 1.0× 119 3.6× 37 387
Alok Jain India 8 131 0.7× 124 1.6× 43 1.2× 28 0.8× 53 1.6× 39 294

Countries citing papers authored by Yongfei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yongfei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongfei Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yongfei Wu. A scholar is included among the top collaborators of Yongfei Wu 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 Yongfei Wu. Yongfei Wu 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.
Wu, Yongfei, et al.. (2025). Market scheduling of emission-aware smart prosumers in smart grids: A multi-objective bi-level approach. Applied Energy. 389. 125745–125745. 3 indexed citations
2.
Liu, Xueyu, et al.. (2025). GLMKD: Joint global and local mutual knowledge distillation for weakly supervised lesion segmentation in histopathology images. Expert Systems with Applications. 279. 127425–127425. 1 indexed citations
3.
Chen, Junxin, et al.. (2025). Parkinson’s Disease Detection Using Multiscale Frequency-Sharing Channel Attention Network With Smartwatch Movement Recordings. IEEE Internet of Things Journal. 12(22). 46138–46149.
4.
Zhang, Jiahao, et al.. (2024). MpMsCFMA-Net: Multi-path Multi-scale Context Feature Mixup and Aggregation Network for medical image segmentation. Engineering Applications of Artificial Intelligence. 133. 108292–108292. 12 indexed citations
6.
Liu, Xueyu, et al.. (2024). Intensity grading of kidney biopsy direct immunofluorescence IgG image via semantically enhanced feature network. Biomedical Signal Processing and Control. 100. 106966–106966.
7.
Zhang, Yunfei, et al.. (2024). Efficient face anti-spoofing via head-aware transformer based knowledge distillation with 5 MB model parameters. Applied Soft Computing. 166. 112237–112237. 4 indexed citations
8.
Wu, Yongfei, et al.. (2024). Adaptive Fourier Decomposition Based Signal Extraction on Weak Electromagnetic Field. 9446–9450. 3 indexed citations
9.
Wu, Yongfei, et al.. (2024). A sufficient descent conjugate gradient method for impulse noise removal. ScienceAsia. 50(1). 1–1.
10.
Wu, Yongfei, et al.. (2024). ACAN: A plug-and-play Adaptive Center-Aligned Network for unsupervised domain adaptation. Engineering Applications of Artificial Intelligence. 137. 109132–109132. 2 indexed citations
11.
Liu, Xueyu, et al.. (2024). Transformer based multiple superpixel-instance learning for weakly supervised segmenting lesions of interstitial lung disease. Expert Systems with Applications. 253. 124270–124270. 4 indexed citations
12.
13.
Zhou, Chenyang, et al.. (2024). Swin Transformer based detection and segmentation networks for measurement and quantification analysis of arteriolar vessels from renal whole slide images. Biomedical Signal Processing and Control. 96. 106619–106619. 4 indexed citations
14.
Liu, Xueyu, Hao Fang, Wen Zheng, et al.. (2024). Classification and quantification of glomerular spike-like projections via deep residual multiple instance learning with multi-scale annotation. Multimedia Tools and Applications. 83(31). 76529–76549. 2 indexed citations
15.
Liu, Xueyu, et al.. (2024). Severity-stratification of interstitial lung disease by deep learning enabled assessment and quantification of lesion indicators from HRCT images. Journal of X-Ray Science and Technology. 32(2). 323–338. 2 indexed citations
16.
Liu, Xueyu, Yongfei Wu, Yilin Chen, et al.. (2023). Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators. Computers in Biology and Medicine. 166. 107470–107470. 12 indexed citations
17.
Wu, Yongfei, et al.. (2017). A Backscattering-Suppression-Based Variational Level-Set Method for Segmentation of SAR Oil Slick Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(12). 5485–5494. 14 indexed citations
18.
Zhang, Yushu, Wenying Wen, Yongfei Wu, et al.. (2015). Deciphering an RGB color image cryptosystem based on Choquet fuzzy integral. Neural Computing and Applications. 28(1). 165–169. 5 indexed citations
19.
Wu, Yongfei & Chuanjiang He. (2014). A convex variational level set model for image segmentation. Signal Processing. 106. 123–133. 59 indexed citations
20.
Pluempitiwiriyawej, Charnchai, José M. F. Moura, Yongfei Wu, Sanae Kanno, & Chien Ho. (2004). Stochastic active contour for cardiac MR image segmentation. 3. II–1097. 3 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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