Shuchang Zhou

2.5k total citations · 2 hit papers
17 papers, 1.5k citations indexed

About

Shuchang Zhou is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shuchang Zhou has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Infectious Diseases and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shuchang Zhou's work include COVID-19 diagnosis using AI (7 papers), COVID-19 Clinical Research Studies (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Shuchang Zhou is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), COVID-19 Clinical Research Studies (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Shuchang Zhou collaborates with scholars based in China, United States and New Zealand. Shuchang Zhou's co-authors include Liming Xia, Tingting Zhu, Yujin Wang, Yueying Pan, Hanxiong Guan, Qiongjie Hu, Qian Li, Yujing Wang, Na Zhang and Tao Ai and has published in prestigious journals such as Scientific Reports, Journal of Thoracic and Cardiovascular Surgery and American Journal of Roentgenology.

In The Last Decade

Shuchang Zhou

15 papers receiving 1.5k citations

Hit Papers

Initial CT findings and temporal changes in patients with... 2020 2026 2022 2024 2020 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuchang Zhou China 9 946 865 350 278 268 17 1.5k
Tingting Zhu China 9 904 1.0× 815 0.9× 358 1.0× 237 0.9× 275 1.0× 21 1.5k
Fang Zheng China 11 1.0k 1.1× 930 1.1× 473 1.4× 332 1.2× 205 0.8× 25 1.7k
Sana Salehi United States 12 691 0.7× 819 0.9× 264 0.8× 242 0.9× 282 1.1× 25 1.5k
Heshui Shi China 16 852 0.9× 784 0.9× 610 1.7× 250 0.9× 529 2.0× 67 1.8k
Hanxiong Guan China 9 818 0.9× 503 0.6× 352 1.0× 186 0.7× 185 0.7× 24 1.2k
Jiong Wu China 7 897 0.9× 674 0.8× 427 1.2× 313 1.1× 167 0.6× 23 1.4k
Minjie Lin China 6 1.0k 1.1× 1.6k 1.8× 201 0.6× 360 1.3× 250 0.9× 8 2.3k
Marie‐Pierre Revel France 18 516 0.5× 652 0.8× 241 0.7× 258 0.9× 474 1.8× 43 1.5k
Fengxiang Song China 8 708 0.7× 643 0.7× 258 0.7× 190 0.7× 110 0.4× 21 1.2k
Kunhua Li China 7 591 0.6× 446 0.5× 314 0.9× 208 0.7× 135 0.5× 16 1.0k

Countries citing papers authored by Shuchang Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Shuchang Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuchang Zhou

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

All Works

17 of 17 papers shown
1.
Chen, Jingyu, et al.. (2024). Prognostic impact of EGFR mutations in T1–4N0M0 lung adenocarcinoma: analyses focus on imaging and pathological features. Journal of Thoracic Disease. 16(11). 7244–7256.
2.
Zhou, Shuchang, et al.. (2024). Research on the impact of human capital on economic growth in China 's provinces based on panel data model. Highlights in Business Economics and Management. 26. 67–75.
3.
Ma, Xiaoling, Shuchang Zhou, Lu Huang, et al.. (2021). Assessment of relationships among clinicopathological characteristics, morphological computer tomography features, and tumor cell proliferation in stage I lung adenocarcinoma. Journal of Thoracic Disease. 13(5). 2844–2857. 7 indexed citations
4.
Pan, Yueying, Shuchang Zhou, Yujin Wang, et al.. (2021). IgG4-Related Disease: A Retrospective Chinese Study of Features and Treatment Response of 98 Patients Including 4 Rare Cases. Current Medical Science. 41(2). 390–397. 4 indexed citations
5.
Li, Minjie, Ying Li, Yu Deng, et al.. (2021). Fibroblast growth factor 11 (FGF11) promotes non-small cell lung cancer (NSCLC) progression by regulating hypoxia signaling pathway. Journal of Translational Medicine. 19(1). 353–353. 17 indexed citations
6.
Wu, Wei, Shuchang Zhou, Daniel S. Hippe, et al.. (2020). Whole-Lesion DCE-MRI Intensity Histogram Analysis for Diagnosis in Patients with Suspected Lung Cancer. Academic Radiology. 28(2). e27–e34. 7 indexed citations
7.
Peng, Shu, Liu Huang, Bo Zhao, et al.. (2020). Clinical course of coronavirus disease 2019 in 11 patients after thoracic surgery and challenges in diagnosis. Journal of Thoracic and Cardiovascular Surgery. 160(2). 585–592.e2. 42 indexed citations
8.
Zhou, Shuchang, Tingting Zhu, Yujing Wang, & Liming Xia. (2020). Imaging features and evolution on CT in 100 COVID-19 pneumonia patients in Wuhan, China. European Radiology. 30(10). 5446–5454. 72 indexed citations
9.
Pan, Yueying, Shuchang Zhou, Yujin Wang, et al.. (2020). Application of Low Tube Voltage, Low-concentration Contrast Agent Using a 320-row CT in Coronary CT Angiography: Evaluation of Image Quality, Radiation Dose and Iodine Intake. Current Medical Science. 40(1). 178–183. 6 indexed citations
10.
Wu, Gang, Shuchang Zhou, Yujin Wang, et al.. (2020). A prediction model of outcome of SARS-CoV-2 pneumonia based on laboratory findings. Scientific Reports. 10(1). 14042–14042. 19 indexed citations
11.
Zhou, Shuchang, Yujin Wang, Tingting Zhu, & Liming Xia. (2020). CT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China. American Journal of Roentgenology. 214(6). 1287–1294. 507 indexed citations breakdown →
12.
Pan, Yueying, Hanxiong Guan, Shuchang Zhou, et al.. (2020). Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China. European Radiology. 30(6). 3306–3309. 694 indexed citations breakdown →
13.
Zhou, Shuchang, et al.. (2020). Chest CT imaging features and severity scores as biomarkers for prognostic prediction in patients with COVID-19. Annals of Translational Medicine. 8(21). 1449–1449. 31 indexed citations
14.
Zhu, Tingting, Yujin Wang, Shuchang Zhou, Na Zhang, & Liming Xia. (2020). A Comparative Study of Chest Computed Tomography Features in Young and Older Adults With Corona Virus Disease (COVID-19). Journal of Thoracic Imaging. 35(4). W97–W101. 65 indexed citations
15.
Zhou, Shuchang, Tao Ai, Lu Huang, et al.. (2019). Diagnosis of solitary pulmonary lesions with intravoxel incoherent motion diffusion-weighted MRI and semi-quantitative dynamic contrast-enhanced MRI. Clinical Radiology. 74(5). 409.e7–409.e16. 14 indexed citations
16.
Zhou, Shuchang, et al.. (2018). Combination of magnetic resonance imaging and targeted contrast agent for the diagnosis of myocardial infarction. Experimental and Therapeutic Medicine. 16(4). 3303–3308. 8 indexed citations
17.
Guan, Hanxiong, et al.. (2018). Comparison of Various Parameters of DWI in Distinguishing Solitary Pulmonary Nodules. Current Medical Science. 38(5). 920–924. 8 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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