Yipeng Hu

5.3k total citations · 2 hit papers
91 papers, 2.7k citations indexed

About

Yipeng Hu is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yipeng Hu has authored 91 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pulmonary and Respiratory Medicine, 34 papers in Computer Vision and Pattern Recognition and 34 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yipeng Hu's work include Prostate Cancer Diagnosis and Treatment (33 papers), Medical Image Segmentation Techniques (22 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Yipeng Hu is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (33 papers), Medical Image Segmentation Techniques (22 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Yipeng Hu collaborates with scholars based in United Kingdom, China and United States. Yipeng Hu's co-authors include Dean C. Barratt, Mark Emberton, Eli Gibson, Hashim U. Ahmed, Ester Bonmati, Matthew J. Clarkson, David J. Hawkes, Brian R Davidson, Caroline M. Moore and Stephen P. Pereira and has published in prestigious journals such as The Journal of Urology, British Journal of Cancer and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Yipeng Hu

87 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.

Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

2018 472 citations Eli Gibson, Francesco Giganti et al. IEEE Transactions on Medical Imaging profile →
NiftyNet: a deep-learning platform for medical imaging

2018 363 citations Eli Gibson, Wenqi Li et al. Computer Methods and Programs in Biomedicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yipeng Hu United Kingdom	24	1.1k	938	871	617	474	91	2.7k
Dean C. Barratt United Kingdom	29	1.4k 1.2×	1.1k 1.2×	1.1k 1.3×	921 1.5×	438 0.9×	99	3.2k
Samuel Kadoury Canada	30	2.0k 1.7×	892 1.0×	611 0.7×	1.3k 2.2×	585 1.2×	163	4.4k
Sheng Xu United States	32	1.6k 1.4×	1.8k 1.9×	489 0.6×	943 1.5×	453 1.0×	133	3.6k
David J. Hawkes United Kingdom	31	1.8k 1.6×	988 1.1×	1.1k 1.2×	742 1.2×	242 0.5×	137	3.9k
Michael Pringle United Kingdom	9	2.0k 1.8×	989 1.1×	727 0.8×	567 0.9×	919 1.9×	9	3.8k
Cornelis H. Slump Netherlands	31	1.4k 1.2×	879 0.9×	287 0.3×	876 1.4×	110 0.2×	264	3.6k
Matthew T. Freedman United States	26	1.1k 0.9×	687 0.7×	561 0.6×	355 0.6×	930 2.0×	178	2.6k
June‐Goo Lee South Korea	22	1.4k 1.2×	471 0.5×	322 0.4×	670 1.1×	464 1.0×	66	2.3k
Lena Costaridou Greece	18	850 0.7×	380 0.4×	506 0.6×	262 0.4×	715 1.5×	86	1.5k

Countries citing papers authored by Yipeng Hu

Since Specialization

Citations

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

Fields of papers citing papers by Yipeng Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yipeng Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yipeng Hu. A scholar is included among the top collaborators of Yipeng Hu 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 Yipeng Hu. Yipeng Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ding, Qianming, Yonghong Wu, Ying Xie, et al.. (2025). Turbulence control in memristive neural network via adaptive magnetic flux based on DLS-ADMM technique. Neural Networks. 187. 107379–107379. 2 indexed citations

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.

Bonmati, Ester, et al.. (2025). Guided ultrasound acquisition for nonrigid image registration using reinforcement learning. Medical Image Analysis. 102. 103555–103555.

Hu, Yipeng, Qianming Ding, Dong Yu, et al.. (2024). Role of higher order interactions on spiral waves in excitable media. Physical review. E. 110(6). 64309–64309. 3 indexed citations

Hu, Yipeng, et al.. (2024). Time conditioning for arbitrary contrast phase generation in interventional computed tomography. Physics in Medicine and Biology. 69(11). 115010–115010. 3 indexed citations

Xu, Moucheng, Yukun Zhou, Marius de Groot, et al.. (2024). Expectation maximisation pseudo labels. Medical Image Analysis. 94. 103125–103125. 5 indexed citations

Shen, Ziyi, Yunguan Fu, Ester Bonmati, et al.. (2024). Active learning using adaptable task-based prioritisation. Medical Image Analysis. 95. 103181–103181. 2 indexed citations

Li, Qi, Ziyi Shen, Dean C. Barratt, et al.. (2023). Long-Term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker. IEEE Transactions on Biomedical Engineering. 71(3). 1033–1042. 6 indexed citations

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

10.

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

11.

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

12.

Baum, Zachary M. C., Yipeng Hu, & Dean C. Barratt. (2022). Meta-Learning Initializations for Interactive Medical Image Registration. IEEE Transactions on Medical Imaging. 42(3). 823–833. 13 indexed citations

13.

Vesal, Sulaiman, Indrani Bhattacharya, Shyam Natarajan, et al.. (2022). Domain generalization for prostate segmentation in transrectal ultrasound images: A multi-center study. Medical Image Analysis. 82. 102620–102620. 22 indexed citations

14.

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

15.

Bonmati, Ester, Yipeng Hu, Alexander Grimwood, et al.. (2021). Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks. IEEE Transactions on Medical Imaging. 41(6). 1311–1319. 16 indexed citations

16.

Davidson, Brian R, et al.. (2021). Vessel segmentation for automatic registration of untracked laparoscopic ultrasound to CT of the liver. International Journal of Computer Assisted Radiology and Surgery. 16(7). 1151–1160. 13 indexed citations

17.

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

18.

Gibson, Eli, Wenqi Li, Carole H. Sudre, et al.. (2018). NiftyNet: a deep-learning platform for medical imaging. Computer Methods and Programs in Biomedicine. 158. 113–122. 363 indexed citations breakdown →

19.

Gibson, Eli, Francesco Giganti, Yipeng Hu, et al.. (2018). Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks. IEEE Transactions on Medical Imaging. 37(8). 1822–1834. 472 indexed citations breakdown →

20.

Hu, Yipeng, Hashim U. Ahmed, Clare Allen, et al.. (2009). MR to Ultrasound Image Registration for Guiding Prostate Biopsy and Interventions. Lecture notes in computer science. 12(Pt 1). 787–794. 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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