Linghong Zhou

1.6k total citations
71 papers, 1.2k citations indexed

About

Linghong Zhou is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, Linghong Zhou has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Radiation and 35 papers in Biomedical Engineering. Recurrent topics in Linghong Zhou's work include Medical Imaging Techniques and Applications (42 papers), Advanced Radiotherapy Techniques (36 papers) and Advanced X-ray and CT Imaging (30 papers). Linghong Zhou is often cited by papers focused on Medical Imaging Techniques and Applications (42 papers), Advanced Radiotherapy Techniques (36 papers) and Advanced X-ray and CT Imaging (30 papers). Linghong Zhou collaborates with scholars based in China, United States and Canada. Linghong Zhou's co-authors include Xin Zhen, Xun Jia, Xuejun Gu, Steve Jiang, Hao Yan, Yuan Xu, Bin Li, Zichun Zhong, Yongbao Li and Kevin Albuquerque and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Linghong Zhou

67 papers receiving 1.2k citations

Peers

Linghong Zhou

RNMI

RADIA

PRM

Liyuan Chen China

Mark J. Gooding United Kingdom

Yu‐Chi Hu United States

Jun Zhou United States

Neelam Tyagi United States

Kuo Men China

Lei Ren United States

Chenyang Shen United States

Sen Bai China

Pengpeng Zhang United States

Liyuan Chen China

Linghong Zhou

833 ×1.0

RNMI

423 ×0.7

RADIA

376 ×0.9

321 ×1.0

PRM

266 ×1.6

Citations per year, relative to Linghong Zhou Linghong Zhou (= 1×) peers Liyuan Chen

Countries citing papers authored by Linghong Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Linghong Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linghong Zhou

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

Zhou, Linghong, et al.. (2025). Attention-guided low-rank convolutional weighting for industrial missing data attacks. Engineering Applications of Artificial Intelligence. 156. 111025–111025.

He, Ting, Yiwen Zhou, Zengxiang Pan, et al.. (2024). Two Monte Carlo-based simulators for imaging-system modeling and projection simulation of flat-panel X-ray source. Nuclear Science and Techniques. 35(7).

Cai, Wenwen, Jiajun Cai, Jiawen Liu, et al.. (2023). Multimodality MRI synchronous construction based deep learning framework for MRI-guided radiotherapy synthetic CT generation. Computers in Biology and Medicine. 162. 107054–107054. 11 indexed citations

Wu, Chunqi, et al.. (2023). DHCF: Dual disentangled-view hierarchical contrastive learning for fake news detection on social media. Information Sciences. 645. 119323–119323. 21 indexed citations

Li, Yongbao, Wenwen Cai, Jiajun Cai, et al.. (2023). Simultaneous dose distribution and fluence prediction for nasopharyngeal carcinoma IMRT. Radiation Oncology. 18(1). 110–110. 6 indexed citations

Huang, Shuang, et al.. (2023). Adaptive scatter kernel deconvolution modeling for cone‐beam CT scatter correction via deep reinforcement learning. Medical Physics. 51(2). 1163–1177. 10 indexed citations

Pan, Zengxiang, et al.. (2023). A transmission measurement-based spectrum estimation method incorporating X-ray tube voltage fluctuation. Quantitative Imaging in Medicine and Surgery. 13(6). 3602–3617. 1 indexed citations

Li, Yongbao, et al.. (2021). Deep learning-based 3D in vivo dose reconstruction with an electronic portal imaging device for magnetic resonance-linear accelerators: a proof of concept study. Physics in Medicine and Biology. 66(23). 235011–235011. 6 indexed citations

Zhang, Jun, Yinglin Peng, Jinhan Zhu, et al.. (2020). Comparison of Different Combinations of Irradiation Mode and Jaw Width in Helical Tomotherapy for Nasopharyngeal Carcinoma. Frontiers in Oncology. 10. 598–598. 5 indexed citations

10.

Li, Xin, Genggeng Qin, Lei Sun, et al.. (2019). Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification. European Radiology. 30(2). 778–788. 44 indexed citations

11.

Chen, Haibin, Weiguo Lu, Bo Zhao, et al.. (2018). Deep-learning based surface region selection for deep inspiration breath hold (DIBH) monitoring in left breast cancer radiotherapy. Physics in Medicine and Biology. 63(24). 245013–245013. 8 indexed citations

12.

Chen, Haibin, Weiguo Lu, Linghong Zhou, et al.. (2018). A recursive ensemble organ segmentation (REOS) framework: application in brain radiotherapy. Physics in Medicine and Biology. 64(2). 25015–25015. 21 indexed citations

13.

Wang, Chunhong, Yuliang Liao, Haibin Chen, et al.. (2018). Influence of tube potential on quantitative coronary plaque analyses by low radiation dose computed tomography: a phantom study. International journal of cardiac imaging. 34(8). 1315–1322. 3 indexed citations

14.

Li, Bin, Chenyang Shen, Ming Yang, et al.. (2018). Multienergy Cone-Beam Computed Tomography Reconstruction with a Spatial Spectral Nonlocal Means Algorithm. SIAM Journal on Imaging Sciences. 11(2). 1205–1229. 16 indexed citations

15.

Li, Xin, Shuyu Wu, Yang Xiao, et al.. (2017). Comprehensive evaluation of ten deformable image registration algorithms for contour propagation between CT and cone-beam CT images in adaptive head & neck radiotherapy. PLoS ONE. 12(4). e0175906–e0175906. 34 indexed citations

16.

Qi, Hongliang, et al.. (2016). Few-view CT reconstruction via a novel non-local means algorithm. Physica Medica. 32(10). 1276–1283. 8 indexed citations

17.

Li, Xiaodan, et al.. (2016). Evaluation of deformable image registration for contour propagation between CT and cone-beam CT images in adaptive head and neck radiotherapy. Technology and Health Care. 24(s2). S747–S755. 15 indexed citations

18.

Song, Ting, Weiguo Lu, Zhen Tian, et al.. (2015). Patient-specific dosimetric endpoints based treatment plan quality control in radiotherapy. Physics in Medicine and Biology. 60(21). 8213–8227. 20 indexed citations

19.

Xu, Yuan, Hao Yan, Luo Ouyang, et al.. (2015). A method for volumetric imaging in radiotherapy using single x‐ray projection. Medical Physics. 42(5). 2498–2509. 29 indexed citations

20.

Zhou, Linghong. (2008). Review of the Methods for X-ray Scatter Correction in Cone-Beam CT System. 1 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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