Changyu Zhou

418 total citations · 1 hit paper
8 papers, 283 citations indexed

About

Changyu Zhou is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Changyu Zhou has authored 8 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Surgery. Recurrent topics in Changyu Zhou's work include Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (5 papers) and Medical Imaging Techniques and Applications (3 papers). Changyu Zhou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (5 papers) and Medical Imaging Techniques and Applications (3 papers). Changyu Zhou collaborates with scholars based in China and United States. Changyu Zhou's co-authors include Maosheng Xu, Chen Gao, Yuanliang Xie, Zhu Liu, Daodong Pan, Ying Hua, Yali Dang, Ting Zhang, Zhen Fang and Shiwei Wang and has published in prestigious journals such as Food Chemistry, The Lancet Infectious Diseases and Physics in Medicine and Biology.

In The Last Decade

Changyu Zhou

6 papers receiving 274 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.

COVID-19 with spontaneous pneumomediastinum

2020 174 citations Changyu Zhou, Chen Gao et al. The Lancet Infectious Diseases profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changyu Zhou China	4	141	66	63	61	30	8	283
Jong Keun Kim South Korea	10	98 0.7×	14 0.2×	43 0.7×	44 0.7×	17 0.6×	33	279
R. Chance DeWitt United States	7	71 0.5×	211 3.2×	41 0.7×	70 1.1×	7 0.2×	8	339
Giuseppe Sangiorgio Italy	9	27 0.2×	12 0.2×	38 0.6×	44 0.7×	17 0.6×	21	232
Francesca Landolfo Italy	9	110 0.8×	161 2.4×	63 1.0×	104 1.7×	9 0.3×	26	481
Charles Feng United States	4	53 0.4×	12 0.2×	116 1.8×	70 1.1×	24 0.8×	8	439
Ronna G. Miller United States	10	94 0.7×	133 2.0×	30 0.5×	77 1.3×	20 0.7×	13	289
Michael Sereinigg Austria	11	23 0.2×	12 0.2×	107 1.7×	131 2.1×	36 1.2×	27	414
Marianne A. van de Pol Netherlands	11	163 1.2×	28 0.4×	107 1.7×	29 0.5×	64 2.1×	18	452
Anil Dhar India	9	60 0.4×	9 0.1×	40 0.6×	59 1.0×	3 0.1×	32	289

Countries citing papers authored by Changyu Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Changyu Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changyu Zhou

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

8 of 8 papers shown

1.

Chen, Shuqi, Yujie Ying, Jie Liu, et al.. (2025). MRI radiomics for diagnosing small BI-RADS 4 breast lesions: an interpretable model. Quantitative Imaging in Medicine and Surgery. 15(6). 5060–5072.

2.

Song, Nan, Chen Gao, Ze‐Guang Han, et al.. (2025). Deciphering the biological underpinnings behind prognostic MRI-based imaging signatures in breast cancer: a systematic review. Journal of Translational Medicine. 23(1). 1402–1402.

3.

Qian, Hua, et al.. (2024). Magnetic resonance imaging-based radiomics was used to evaluate the level of prognosis-related immune cell infiltration in breast cancer tumor microenvironment. BMC Medical Imaging. 24(1). 31–31. 8 indexed citations

4.

Mehta, Rahul, Changyu Zhou, Weihong Hu, et al.. (2023). Characterization of breast lesions using multi-parametric diffusion MRI and machine learning. Physics in Medicine and Biology. 68(8). 85006–85006. 1 indexed citations

5.

Zhang, Ting, Ying Hua, Changyu Zhou, et al.. (2022). Umami peptides screened based on peptidomics and virtual screening from Ruditapes philippinarum and Mactra veneriformis clams. Food Chemistry. 394. 133504–133504. 94 indexed citations

6.

Fan, Sijia, Chen Gao, Zhen Fang, et al.. (2022). Evaluating Upstaging in Ductal Carcinoma In Situ Using Preoperative MRI‐Based Radiomics. Journal of Magnetic Resonance Imaging. 58(2). 454–463. 5 indexed citations

7.

Zhang, Ruixin, Maosheng Xu, Changyu Zhou, et al.. (2022). The value of noncontrast MRI in evaluating breast imaging reporting and data system category 0 lesions on digital mammograms. Quantitative Imaging in Medicine and Surgery. 12(8). 4069–4080. 1 indexed citations

8.

Zhou, Changyu, Chen Gao, Yuanliang Xie, & Maosheng Xu. (2020). COVID-19 with spontaneous pneumomediastinum. The Lancet Infectious Diseases. 20(4). 510–510. 174 indexed citations breakdown →

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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