Zhouyang Lian

1.6k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Zhouyang Lian is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Zhouyang Lian has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pulmonary and Respiratory Medicine and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Zhouyang Lian's work include Radiomics and Machine Learning in Medical Imaging (10 papers), MRI in cancer diagnosis (9 papers) and Head and Neck Cancer Studies (5 papers). Zhouyang Lian is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), MRI in cancer diagnosis (9 papers) and Head and Neck Cancer Studies (5 papers). Zhouyang Lian collaborates with scholars based in China, United States and Hong Kong. Zhouyang Lian's co-authors include Shuixing Zhang, Yuhao Dong, Bin Zhang, Changhong Liang, Xiaoning Luo, Xiaokai Mo, Shufang Pei, Wenhui Huang, Lu Zhang and Jing Liu and has published in prestigious journals such as Journal of the American Chemical Society, ACS Nano and PLoS ONE.

In The Last Decade

Zhouyang Lian

34 papers receiving 1.1k citations

Hit Papers

Radiomics Features of Multiparametric MRI as Novel Progno... 2017 2026 2020 2023 2017 100 200 300
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.

  1. Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma
    2017 389 citations Bin Zhang, Jie Tian et al. Clinical Cancer Research profile →

Peers

Zhouyang Lian
Lianzhen Zhong China
Xiance Jin China
Kuo‐Yang Yen Taiwan
Stefania Volpe Italy
Gustavo Mercier United States
R. de Crevoisier France
Barry McCook United States
Connie Yip United Kingdom
Elisa Meldolesi Italy
Benedikt M. Schaarschmidt Germany
Lianzhen Zhong China
Zhouyang Lian
Citations per year, relative to Zhouyang Lian Zhouyang Lian (= 1×) peers Lianzhen Zhong

Countries citing papers authored by Zhouyang Lian

Since Specialization
Citations

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

Fields of papers citing papers by Zhouyang Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhouyang Lian

This figure shows the co-authorship network connecting the top 25 collaborators of Zhouyang Lian. A scholar is included among the top collaborators of Zhouyang Lian 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 Zhouyang Lian. Zhouyang Lian 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.
Lian, Zhouyang, Lei Zheng, Shuya Liu, et al.. (2025). Breaking Endosomal Barriers: Thiol-Mediated Uptake Lipid Nanoparticles for Efficient mRNA Vaccine Delivery. Journal of the American Chemical Society. 147(35). 31530–31540. 2 indexed citations
2.
Liu, Shuya, Dongliang Wang, Junjie Zhang, et al.. (2025). Disulfide-Appended siRNA Nanoeyedrops: Noninvasive Gene Therapy for Targeting Retinal Angiogenesis. ACS Nano. 19(40). 35333–35347.
3.
Zhang, Junjie, Changsi Peng, Shuya Liu, et al.. (2024). A Self‐Assembled Transdermal Nanomedicines Incorporating Pendant Disulfides for Non‐Invasive, Synergistic Treatment of Melanoma. Advanced Healthcare Materials. 13(32). e2402685–e2402685. 4 indexed citations
4.
Chen, Wenbo, Lu Zhang, Bin Zhang, et al.. (2023). Machine learning-based multimodal MRI texture analysis for assessing renal function and fibrosis in diabetic nephropathy: a retrospective study. Frontiers in Endocrinology. 14. 1050078–1050078. 4 indexed citations
5.
Zhang, Bin, Zhouyang Lian, Liming Zhong, et al.. (2020). Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma. BMC Cancer. 20(1). 502–502. 51 indexed citations
6.
Zhong, Liming, Xiao Zhang, Zhouyang Lian, et al.. (2020). Deep Longitudinal Feature Representations for Detection of Postradiotherapy Brain Injury at Presymptomatic Stage. IEEE Access. 8. 184710–184721. 4 indexed citations
7.
Liu, Entao, Haojian Dong, Zerui Chen, et al.. (2020). Combined PET/CT with thoracic contrast-enhanced CT in assessment of primary cardiac tumors in adult patients. EJNMMI Research. 10(1). 75–75. 8 indexed citations
8.
Mo, Xiaokai, Xiangjun Wu, Di Dong, et al.. (2019). Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation. European Radiology. 30(2). 833–843. 40 indexed citations
9.
10.
Zhang, Lu, Hongyu Zhou, Dongsheng Gu, et al.. (2019). Radiomic Nomogram: Pretreatment Evaluation of Local Recurrence in Nasopharyngeal Carcinoma based on MR Imaging. Journal of Cancer. 10(18). 4217–4225. 41 indexed citations
11.
Qiu, Jia, Kun Wang, Zhouyang Lian, et al.. (2018). Prediction and understanding of AIE effect by quantum mechanics-aided machine-learning algorithm. Chemical Communications. 54(57). 7955–7958. 25 indexed citations
12.
Liu, Entao, et al.. (2018). Giant primary pericardial synovial sarcoma in an adolescent with cardiac tamponade: Contrast-enhanced CT and 18F-FDG PET/CT findings. Journal of Nuclear Cardiology. 26(5). 1766–1770. 1 indexed citations
13.
Zhang, Bin, Jie Tian, Di Dong, et al.. (2017). Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma. Clinical Cancer Research. 23(15). 4259–4269. 389 indexed citations breakdown →
14.
Dong, Yuhao, Qianjin Feng, Wei Yang, et al.. (2017). Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI. European Radiology. 28(2). 582–591. 197 indexed citations
15.
16.
Zhang, Bin, Yuhao Dong, Wenbo Chen, et al.. (2017). Application of noninvasive functional imaging to monitor the progressive changes in kidney diffusion and perfusion in contrast-induced acute kidney injury rats at 3.0 T. Abdominal Radiology. 43(3). 655–662. 18 indexed citations
17.
18.
Zhang, Bin, Yuhao Dong, Jing Liu, et al.. (2016). Immunotherapy for patients with advanced pancreatic carcinoma: a promising treatment. Oncotarget. 8(4). 5703–5716. 3 indexed citations
19.
Zhang, Bin, Long Liang, Yuhao Dong, et al.. (2016). Intravoxel Incoherent Motion MR Imaging for Staging of Hepatic Fibrosis. PLoS ONE. 11(1). e0147789–e0147789. 29 indexed citations
20.
Niwa, Koichiro, et al.. (2005). Outcome of fertility‐preserving treatment in young women with endometrial carcinomas. BJOG An International Journal of Obstetrics & Gynaecology. 112(3). 317–320. 108 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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