Hui Yu

941 total citations · 1 hit paper
58 papers, 571 citations indexed

About

Hui Yu is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hui Yu has authored 58 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 14 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hui Yu's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced SAR Imaging Techniques (8 papers) and Medical Image Segmentation Techniques (4 papers). Hui Yu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced SAR Imaging Techniques (8 papers) and Medical Image Segmentation Techniques (4 papers). Hui Yu collaborates with scholars based in China, United States and France. Hui Yu's co-authors include Kun Zhou, Wayne Xin Zhao, Jing Zhao, Dagong Jia, Hongxia Zhang, Ye Sun, Jinqiu Li, Zhiyong Lei, Lixin Zhang and Dongyi Liu and has published in prestigious journals such as Chemistry - A European Journal, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Hui Yu

55 papers receiving 555 citations

Hit Papers

Filter-enhanced MLP is All You Need for Sequential Recomm... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui Yu China 12 170 147 122 106 97 58 571
Jinyong Cheng China 12 127 0.7× 27 0.2× 62 0.5× 116 1.1× 65 0.7× 67 592
M. Sultan Zia Pakistan 13 140 0.8× 33 0.2× 78 0.6× 170 1.6× 124 1.3× 25 704
Ch. Usha Kumari India 11 125 0.7× 23 0.2× 75 0.6× 55 0.5× 61 0.6× 43 593
Xiaosheng Yu China 13 153 0.9× 27 0.2× 69 0.6× 376 3.5× 204 2.1× 99 653
Fenglian Li China 16 206 1.2× 47 0.3× 124 1.0× 96 0.9× 36 0.4× 67 751
Ahmad Waleed Salehi India 10 189 1.1× 44 0.3× 38 0.3× 97 0.9× 148 1.5× 14 535
Chien-Cheng Lee Taiwan 12 244 1.4× 19 0.1× 77 0.6× 229 2.2× 116 1.2× 63 641
V. Seethalakshmi India 8 165 1.0× 22 0.1× 67 0.5× 118 1.1× 142 1.5× 22 472

Countries citing papers authored by Hui Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Yu. A scholar is included among the top collaborators of Hui Yu 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 Hui Yu. Hui Yu 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.
Yang, Ziyuan, Hui Yu, Andrew Beng Jin Teoh, et al.. (2025). Enhancing federated learning through exploring filter-aware relationships and personalizing local structures. Pattern Recognition. 171. 112281–112281. 1 indexed citations
2.
Tang, Lu, et al.. (2025). GAN-Guided Few-Shot Attention Network for Medical Images Fusion Quality Assessment. IEEE Transactions on Medical Imaging. 44(11). 4292–4306. 1 indexed citations
3.
Xu, Yongjie, Sibo Zhu, Changfa Xia, et al.. (2025). Liquid biopsy-based multi-cancer early detection: an exploration road from evidence to implementation. Science Bulletin. 70(17). 2852–2867. 1 indexed citations
4.
Yu, Hui, et al.. (2025). TSNet: Vessel segmentation with sequential frame temporal information in coronary angiography. Computerized Medical Imaging and Graphics. 123. 102540–102540. 2 indexed citations
5.
Zhang, Ning, et al.. (2024). Lesion attention guided neural network for contrast-enhanced mammography-based biomarker status prediction in breast cancer. Computer Methods and Programs in Biomedicine. 250. 108194–108194. 4 indexed citations
6.
Zhou, Peng, et al.. (2024). Coronary vessel segmentation in coronary angiography with a multi-scale U-shaped transformer incorporating boundary aggregation and topology preservation. Physics in Medicine and Biology. 69(2). 25012–25012. 7 indexed citations
7.
Wang, Qi, Bing Yan, Hui Yu, et al.. (2024). The Tactile Force Sensing of the Gripper Based on the Mode Interference Fiber Sensor. IEEE Sensors Journal. 24(19). 29716–29722. 1 indexed citations
8.
Wang, Shuo, et al.. (2024). Advancing musculoskeletal tumor diagnosis: Automated segmentation and predictive classification using deep learning and radiomics. Computers in Biology and Medicine. 175. 108502–108502. 7 indexed citations
9.
Jian, Muwei, et al.. (2024). CSSANet: A channel shuffle slice-aware network for pulmonary nodule detection. Neurocomputing. 615. 128827–128827. 2 indexed citations
10.
Yan, Bing, Qi Wang, Jing Zhao, et al.. (2023). Sensitivity Improvement of an Optical Fiber Sensor Based on Surface Plasmon Resonance with Pure Higher-Order Modes. Applied Sciences. 13(6). 4020–4020. 8 indexed citations
11.
Zhou, Peng, et al.. (2023). A framework of myocardial bridge detection with x-ray angiography sequence. BioMedical Engineering OnLine. 22(1). 101–101. 1 indexed citations
12.
Zhang, Jingqi, et al.. (2023). Automatic ultrasound diagnosis of thyroid nodules: a combination of deep learning and KWAK TI-RADS. Physics in Medicine and Biology. 68(20). 205021–205021. 2 indexed citations
13.
Liang, Xiaoyun, et al.. (2022). Colposcopic multimodal fusion for the classification of cervical lesions. Physics in Medicine and Biology. 67(13). 135003–135003. 11 indexed citations
14.
Wang, Yuhu, et al.. (2022). A lightweight hierarchical convolution network for brain tumor segmentation. BMC Bioinformatics. 22(S5). 636–636. 2 indexed citations
15.
Yu, Hui, et al.. (2021). Multi-channel lung sounds intelligent diagnosis of chronic obstructive pulmonary disease. BMC Pulmonary Medicine. 21(1). 321–321. 16 indexed citations
16.
Yu, Hui, et al.. (2020). A Novel Hybrid Active Contour Model for Intracranial Tuberculosis MRI Segmentation Applications. IEEE Access. 8. 149569–149585. 9 indexed citations
17.
Li, Qifeng, et al.. (2019). A spectral recovery method for Raman spectroscopy utilizing prior datasets. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 225. 117505–117505. 1 indexed citations
18.
Yu, Hui, et al.. (2019). Cascading detection model for prediction of apnea-hypopnea events based on nasal flow and arterial blood oxygen saturation. Sleep And Breathing. 24(2). 483–490. 2 indexed citations
19.
Zhao, Jing, et al.. (2019). Wearable respiration monitoring using an in-line few-mode fiber Mach-Zehnder interferometric sensor. Biomedical Optics Express. 11(1). 316–316. 42 indexed citations
20.
Yu, Hui, et al.. (2018). The segmentation of bones in pelvic CT images based on extraction of key frames. BMC Medical Imaging. 18(1). 18–18. 9 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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