Ruizhi Zhou

656 total citations
41 papers, 424 citations indexed

About

Ruizhi Zhou is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Ruizhi Zhou has authored 41 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 7 papers in Molecular Biology. Recurrent topics in Ruizhi Zhou's work include Radiomics and Machine Learning in Medical Imaging (8 papers), Sarcoma Diagnosis and Treatment (6 papers) and Temporomandibular Joint Disorders (5 papers). Ruizhi Zhou is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), Sarcoma Diagnosis and Treatment (6 papers) and Temporomandibular Joint Disorders (5 papers). Ruizhi Zhou collaborates with scholars based in China, Hong Kong and United States. Ruizhi Zhou's co-authors include Cheng Dong, Xu Liu, Jing Pang, Xiaoli Li, Benjamin Wu, Jiufa Cui, Song Liu, Jian Li, Jinfeng Zhan and Jian Zhang and has published in prestigious journals such as Nature Communications, International Journal of Molecular Sciences and Cell Reports.

In The Last Decade

Ruizhi Zhou

41 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruizhi Zhou China 13 133 83 81 74 46 41 424
Il Ki Hong South Korea 15 163 1.2× 61 0.7× 91 1.1× 101 1.4× 77 1.7× 49 574
Gloria Kim United States 13 64 0.5× 152 1.8× 55 0.7× 42 0.6× 80 1.7× 38 604
Jianfeng He China 13 60 0.5× 84 1.0× 115 1.4× 57 0.8× 26 0.6× 50 453
Yao‐Lung Kuo Taiwan 13 96 0.7× 61 0.7× 117 1.4× 22 0.3× 71 1.5× 31 388
Thanh Thao Nguyen Vietnam 14 122 0.9× 147 1.8× 35 0.4× 68 0.9× 45 1.0× 51 420
Dimitrios Chatzoulis Greece 13 143 1.1× 89 1.1× 47 0.6× 58 0.8× 27 0.6× 32 633
Daniele Armocida Italy 12 53 0.4× 94 1.1× 129 1.6× 75 1.0× 46 1.0× 66 484
Koung Hoon Kook South Korea 14 81 0.6× 111 1.3× 109 1.3× 69 0.9× 11 0.2× 34 513
Jung‐Min Ha South Korea 11 133 1.0× 87 1.0× 66 0.8× 51 0.7× 16 0.3× 35 505
Sarah Vierkotten Germany 10 82 0.6× 162 2.0× 66 0.8× 164 2.2× 43 0.9× 11 488

Countries citing papers authored by Ruizhi Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Ruizhi Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruizhi Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Ruizhi Zhou. A scholar is included among the top collaborators of Ruizhi 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 Ruizhi Zhou. Ruizhi 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.
Fang, Kun, Huiming Tang, Ruizhi Zhou, et al.. (2024). Arching effect in slopes under excavation: Classification and features. Engineering Geology. 337. 107563–107563. 21 indexed citations
2.
Yu, Xin, Yajing Huang, Lili Xu, et al.. (2024). Reduction of Hepatic Fat Content by Dulaglutide for the Treatment of Diabetes Mellitus: A Two‐Centre Open, Single‐Arm Trial. Endocrinology Diabetes & Metabolism. 8(1). e70021–e70021. 3 indexed citations
3.
Wang, Hexiang, et al.. (2024). Applying dynamic contrast-enhanced MRI tracer kinetic models to differentiate benign and malignant soft tissue tumors. Cancer Imaging. 24(1). 64–64. 3 indexed citations
4.
5.
Wang, Zhiyuan, Jing Pang, Ruizhi Zhou, et al.. (2023). Differences in resting-state brain networks and gray matter between APOE ε2 and APOE ε4 carriers in non-dementia elderly. Frontiers in Psychiatry. 14. 1197987–1197987. 1 indexed citations
6.
Luo, Dan, et al.. (2023). Clinical study of magnetic resonance imaging-based texture analysis and fasciculation of the lateral pterygoid muscle in young patients with temporomandibular disorder. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 136(3). 382–393. 3 indexed citations
7.
Nie, Pei, Shihe Liu, Ruizhi Zhou, et al.. (2023). A preoperative CT-based deep learning radiomics model in predicting the stage, size, grade and necrosis score and outcome in localized clear cell renal cell carcinoma: A multicenter study. European Journal of Radiology. 166. 111018–111018. 12 indexed citations
8.
Wang, Tongyu, Xia Zhao, Hexiang Wang, et al.. (2022). Proton density fat fraction measurements of rotator cuff muscles: Accuracy, repeatability, and reproducibility across readers and scanners. Magnetic Resonance Imaging. 92. 260–267. 3 indexed citations
9.
Wang, Jia, Jingjing Chen, Ruizhi Zhou, Yuanxiang Gao, & Jie Li. (2022). Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients. BMC Cancer. 22(1). 420–420. 17 indexed citations
10.
11.
Che, Junyi, Zengjie Wu, Jing Pang, et al.. (2022). A CT-Based Deep Learning Radiomics Nomogram to Predict Histological Grades of Head and Neck Squamous Cell Carcinoma. Academic Radiology. 30(8). 1591–1599. 23 indexed citations
12.
13.
Luo, Dan, et al.. (2021). A magnetic resonance imaging study on the temporomandibular joint disc–condyle relationship in young asymptomatic adults. International Journal of Oral and Maxillofacial Surgery. 51(2). 226–233. 6 indexed citations
14.
Xue, Sheng, Feng Ren, Ruizhi Zhou, et al.. (2021). An atherosclerotic plaque-targeted single-chain antibody for MR/NIR-II imaging of atherosclerosis and anti-atherosclerosis therapy. Journal of Nanobiotechnology. 19(1). 296–296. 30 indexed citations
15.
Wang, Minghui, et al.. (2020). Imaging and clinical features of cervical artery web: report of 41 cases and literature review. Acta Neurologica Belgica. 121(5). 1225–1233. 12 indexed citations
16.
Li, Jian, Song Liu, Jiufa Cui, et al.. (2020). MRI-Based radiomics nomogram for differentiation of benign and malignant lesions of the parotid gland. European Radiology. 31(6). 4042–4052. 59 indexed citations
17.
Zhou, Ruizhi, et al.. (2019). Edema Surrounding Benign Tumors and Tumor-Like Lesions. BioMed Research International. 2019. 1–7. 9 indexed citations
18.
Nie, Pei, Jie Wu, Hexiang Wang, et al.. (2019). Primary hepatic perivascular epithelioid cell tumors: imaging findings with histopathological correlation. Cancer Imaging. 19(1). 32–32. 22 indexed citations
19.
Lü, Chao, et al.. (2017). Intelligent gas pressure regulator control system. 30. 2723–2728. 2 indexed citations
20.
Zhang, Jian, Hongyan Zhang, Jian Wang, et al.. (2016). GL-1196 Suppresses the Proliferation and Invasion of Gastric Cancer Cells via Targeting PAK4 and Inhibiting PAK4-Mediated Signaling Pathways. International Journal of Molecular Sciences. 17(4). 470–470. 16 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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