Qianye Yang

617 total citations
21 papers, 318 citations indexed

About

Qianye Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qianye Yang has authored 21 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qianye Yang's work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Qianye Yang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Qianye Yang collaborates with scholars based in United Kingdom, China and Hong Kong. Qianye Yang's co-authors include Nannan Li, Yan Xu, Zixu Zhao, Eric Chang, Xingyu Fan, Yipeng Hu, Rong Sun, Jian Li, Dean C. Barratt and Mirabela Rusu and has published in prestigious journals such as Scientific Reports, Chemosphere and International Journal of Molecular Sciences.

In The Last Decade

Qianye Yang

20 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qianye Yang United Kingdom 11 118 98 74 64 62 21 318
Nassim Bouteldja Germany 11 148 1.3× 105 1.1× 125 1.7× 61 1.0× 75 1.2× 15 397
Honghao Luo China 9 117 1.0× 58 0.6× 110 1.5× 51 0.8× 53 0.9× 16 288
Viviana Benfante Italy 13 192 1.6× 64 0.7× 66 0.9× 34 0.5× 107 1.7× 21 390
Nick Weiss Germany 10 151 1.3× 104 1.1× 176 2.4× 39 0.6× 45 0.7× 16 353
Wenjia Cai China 10 128 1.1× 44 0.4× 60 0.8× 56 0.9× 31 0.5× 30 282
Sijuan Huang China 10 201 1.7× 79 0.8× 54 0.7× 30 0.5× 82 1.3× 45 371
Zhaoxuan Ma United States 8 182 1.5× 84 0.9× 254 3.4× 45 0.7× 86 1.4× 9 377
Tianhao Zhao China 7 163 1.4× 94 1.0× 233 3.1× 51 0.8× 28 0.5× 13 349
Ermanno Cordelli Italy 14 232 2.0× 35 0.4× 156 2.1× 37 0.6× 109 1.8× 39 414

Countries citing papers authored by Qianye Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qianye Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qianye Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qianye Yang. A scholar is included among the top collaborators of Qianye 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 Qianye Yang. Qianye 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.
Wen, Yan, Yipeng Hu, Qianye Yang, et al.. (2025). A semi-supervised prototypical network for prostate lesion segmentation from multimodality MRI. Physics in Medicine and Biology. 70(8). 85020–85020.
2.
Wang, Yipei, Qianye Yang, Shonit Punwani, et al.. (2025). AI-assisted prostate cancer detection and localisation on biparametric MR by classifying radiologist-positives. 64–64. 1 indexed citations
3.
Min, Zhe, Fernando J. Bianco, Qianye Yang, et al.. (2024). Segmentation versus detection: Development and evaluation of deep learning models for prostate imaging reporting and data system lesions localisation on Bi‐parametric prostate magnetic resonance imaging. CAAI Transactions on Intelligence Technology. 10(3). 689–702. 1 indexed citations
4.
Li, Yiwen, Yunguan Fu, Qianye Yang, et al.. (2023). Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration. Medical Image Analysis. 90. 102935–102935. 14 indexed citations
5.
Wen, Yan, Bernard Chiu, Ziyi Shen, et al.. (2023). Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation. Medical Image Analysis. 91. 103030–103030. 3 indexed citations
6.
Jiang, Mingjie, Baohua Yuan, Yan Wen, et al.. (2023). Prostate cancer segmentation from MRI by a multistream fusion encoder. Medical Physics. 50(9). 5489–5504. 6 indexed citations
7.
Fu, Yunguan, Vasilis Stavrinides, Zachary M. C. Baum, et al.. (2022). Image quality assessment for machine learning tasks using meta-reinforcement learning. Medical Image Analysis. 78. 102427–102427. 28 indexed citations
8.
Yang, Qianye, David Atkinson, Yunguan Fu, et al.. (2022). Cross-Modality Image Registration Using a Training-Time Privileged Third Modality. IEEE Transactions on Medical Imaging. 41(11). 3421–3431. 5 indexed citations
9.
Ren, Jing, et al.. (2022). Prediction of the Endocrine disruption profile of fluorinated biphenyls and analogues: An in silico study. Chemosphere. 314. 137701–137701. 14 indexed citations
10.
Wang, Yipei, Qianye Yang, Lior Drukker, et al.. (2022). Task model-specific operator skill assessment in routine fetal ultrasound scanning. International Journal of Computer Assisted Radiology and Surgery. 17(8). 1437–1444. 7 indexed citations
11.
12.
Bhattacharya, Indrani, Yash S. Khandwala, Sulaiman Vesal, et al.. (2022). A review of artificial intelligence in prostate cancer detection on imaging. Therapeutic Advances in Urology. 14. 3623475287–3623475287. 46 indexed citations
13.
Yang, Qianye, Yu Li, Rong Sun, & Jian Li. (2021). Identification of a RAD52 Inhibitor Inducing Synthetic Lethality in BRCA2-Deficient Cancer Cells. Frontiers in Pharmacology. 12. 637825–637825. 10 indexed citations
14.
Fu, Yunguan, Adrià Casamitjana, Zachary M. C. Baum, et al.. (2020). DeepReg: a deep learning toolkit for medical image registration. The Journal of Open Source Software. 5(55). 2705–2705. 18 indexed citations
15.
Yang, Qianye, Nannan Li, Zixu Zhao, et al.. (2020). MRI Cross-Modality Image-to-Image Translation. Scientific Reports. 10(1). 3753–3753. 76 indexed citations
16.
Huang, Kejia, Rong Sun, Jia‐Rong Chen, et al.. (2020). A novel EZH2 inhibitor induces synthetic lethality and apoptosis in PBRM1-deficient cancer cells. Cell Cycle. 19(7). 758–771. 22 indexed citations
17.
Li, Rui, Yucheng Wang, Kejia Huang, et al.. (2019). Aqueous extract of Fritillariae cirrhosae induces cellular apoptosis through activation of STATs-mediated immunomodulation. Journal of Ethnopharmacology. 261. 112338–112338. 13 indexed citations
18.
Yang, Qianye, Nannan Li, Zixu Zhao, et al.. (2018). MRI Image-to-Image Translation for Cross-Modality Image Registration and Segmentation.. 15 indexed citations
19.
Li, Jian, Qianye Yang, Yang Zhang, et al.. (2018). Compound F779-0434 causes synthetic lethality in BRCA2-deficient cancer cells by disrupting RAD52–ssDNA association. RSC Advances. 8(34). 18859–18869. 9 indexed citations
20.
Li, Jian, Rong Sun, Yuehong Wu, et al.. (2017). L1198F Mutation Resensitizes Crizotinib to ALK by Altering the Conformation of Inhibitor and ATP Binding Sites. International Journal of Molecular Sciences. 18(3). 482–482. 21 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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