Junlin Zhou

2.0k total citations
159 papers, 1.3k citations indexed

About

Junlin Zhou is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Neurology. According to data from OpenAlex, Junlin Zhou has authored 159 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Radiology, Nuclear Medicine and Imaging, 48 papers in Epidemiology and 39 papers in Neurology. Recurrent topics in Junlin Zhou's work include Radiomics and Machine Learning in Medical Imaging (61 papers), Meningioma and schwannoma management (40 papers) and Advanced X-ray and CT Imaging (36 papers). Junlin Zhou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (61 papers), Meningioma and schwannoma management (40 papers) and Advanced X-ray and CT Imaging (36 papers). Junlin Zhou collaborates with scholars based in China, Canada and United States. Junlin Zhou's co-authors include Caiqiang Xue, Jie Tian, Yuntai Cao, Guojin Zhang, Wenjuan Zhang, Zhiyong Zhao, Xianwang Liu, Shenglin Li, Tao Han and Di Dong and has published in prestigious journals such as Polymer, IEEE Access and Medical Physics.

In The Last Decade

Junlin Zhou

147 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junlin Zhou China 18 668 360 353 263 248 159 1.3k
Christine Schmid‐Tannwald Germany 20 922 1.4× 216 0.6× 585 1.7× 378 1.4× 102 0.4× 52 1.4k
Angelo Bolognesi Italy 22 365 0.5× 315 0.9× 1.1k 3.0× 179 0.7× 216 0.9× 64 1.9k
Piera Navarria Italy 25 602 0.9× 129 0.4× 1.0k 2.9× 355 1.3× 146 0.6× 49 1.7k
Charles S. Mayo United States 19 429 0.6× 238 0.7× 546 1.5× 329 1.3× 83 0.3× 68 1.4k
Antonella Del Vecchio Italy 17 357 0.5× 319 0.9× 247 0.7× 137 0.5× 262 1.1× 100 1.0k
Anne‐Ségolène Cottereau France 21 859 1.3× 146 0.4× 523 1.5× 102 0.4× 248 1.0× 75 1.7k
Jiho Nam South Korea 11 901 1.3× 247 0.7× 1.4k 3.9× 280 1.1× 98 0.4× 39 2.5k
Francesca Botta Italy 25 1.7k 2.5× 263 0.7× 622 1.8× 71 0.3× 118 0.5× 62 2.2k
Sabine Semrau Germany 24 398 0.6× 209 0.6× 769 2.2× 143 0.5× 108 0.4× 113 2.1k

Countries citing papers authored by Junlin Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Junlin Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junlin Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Junlin Zhou. A scholar is included among the top collaborators of Junlin 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 Junlin Zhou. Junlin Zhou 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.
Liu, Xianwang, Fengyu Zhou, Peng Zhang, et al.. (2025). ADC histogram analysis of tumor-infiltrating CD8+ T cell levels in meningioma. Neurosurgical Review. 48(1). 34–34.
2.
Zhou, Junlin, Tong Yang, Yue Zhou, et al.. (2025). Insight into interplay between PANoptosis and autophagy: novel therapeutics in ischemic stroke. Frontiers in Molecular Neuroscience. 17. 1482015–1482015. 11 indexed citations
3.
Cao, Yuntai, et al.. (2025). MRI morphological features combined with apparent diffusion coefficient can predict brain invasion in meningioma. Computers in Biology and Medicine. 187. 109763–109763.
4.
Ma, Yurong, et al.. (2024). A noninvasive comprehensive model based on medium sample size had good diagnostic performance in distinguishing renal fat-poor angiomyolipoma from homogeneous clear cell renal cell carcinoma. Urologic Oncology Seminars and Original Investigations. 43(5). 332.e1–332.e10. 1 indexed citations
6.
Jing, Mengyuan, Xiaoyue Zhang, Zheng Xu, et al.. (2023). Is there an association between coronary artery inflammation and coronary atherosclerotic burden?. Quantitative Imaging in Medicine and Surgery. 13(9). 6048–6058. 2 indexed citations
7.
Deng, Jiehui, Wengang Zhang, Mingyuan Xu, et al.. (2023). Value of spectral CT parameters in predicting the efficacy of neoadjuvant chemotherapy for gastric cancer. Clinical Radiology. 79(1). 51–59. 6 indexed citations
8.
Liu, Xianwang, Jian Jiang, Fengyu Zhou, et al.. (2023). T2-Weighted Imaging and Apparent Diffusion Coefficient Histogram Parameters Predict Meningioma Consistency. Academic Radiology. 31(6). 2511–2520. 3 indexed citations
9.
Li, Shenglin, Caiqiang Xue, Juan Deng, et al.. (2023). Development of an MRI‐Based Comprehensive Model Fusing Clinical, Radiomics and Deep Learning Models for Preoperative Histological Stratification in Intracranial Solitary Fibrous Tumor. Journal of Magnetic Resonance Imaging. 60(2). 523–533. 3 indexed citations
11.
Liu, Xianwang, et al.. (2023). ADC histogram parameters differentiating atypical from transitional meningiomas: correlation with Ki-67 proliferation index. Acta Radiologica. 64(12). 3032–3041. 5 indexed citations
12.
Cao, Yuntai, Jing Zhang, Lele Huang, et al.. (2023). Construction of prediction model for KRAS mutation status of colorectal cancer based on CT radiomics. Japanese Journal of Radiology. 41(11). 1236–1246. 8 indexed citations
13.
14.
Xue, Caiqiang, et al.. (2022). Treatment Response and Prognosis Evaluation in High‐Grade Glioma: An Imaging Review Based on MRI. Journal of Magnetic Resonance Imaging. 56(2). 325–340. 26 indexed citations
15.
Liu, Xianwang, et al.. (2022). Preoperative surgical risk assessment of meningiomas: a narrative review based on MRI radiomics. Neurosurgical Review. 46(1). 29–29. 4 indexed citations
16.
Cao, Yuntai, Guojin Zhang, Haihua Bao, et al.. (2021). Development of a dual-energy spectral computed tomography-based nomogram for the preoperative discrimination of histological grade in colorectal adenocarcinoma patients. Journal of Gastrointestinal Oncology. 12(2). 544–555. 4 indexed citations
17.
Liu, Xianwang, Hong Liu, Juan Deng, et al.. (2020). Apparent Diffusion Coefficient to Evaluate Adult Intracranial Ependymomas: Relationship to Ki‐67 Proliferation Index. Journal of Neuroimaging. 31(1). 132–136. 16 indexed citations
18.
Liu, Jianli, et al.. (2017). Preparation of N, N, N-trimethyl chitosan-functionalized retinoic acid-loaded lipid nanoparticles for enhanced drug delivery to glioblastoma. Tropical Journal of Pharmaceutical Research. 16(8). 1765–1765. 13 indexed citations
19.
Zhou, Junlin, et al.. (2011). Improved Boosting Algorithm Using Combined Weak Classifiers. 3 indexed citations
20.
Zhou, Junlin. (2008). Key techniques and implementation of electronic seal in Uyghur,Chinese and English. Computer Engineering and Applications Journal. 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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