Caizhong Chen

1.6k total citations
62 papers, 1.2k citations indexed

About

Caizhong Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Epidemiology. According to data from OpenAlex, Caizhong Chen has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Radiology, Nuclear Medicine and Imaging, 26 papers in Hepatology and 22 papers in Epidemiology. Recurrent topics in Caizhong Chen's work include MRI in cancer diagnosis (30 papers), Hepatocellular Carcinoma Treatment and Prognosis (21 papers) and Advanced MRI Techniques and Applications (20 papers). Caizhong Chen is often cited by papers focused on MRI in cancer diagnosis (30 papers), Hepatocellular Carcinoma Treatment and Prognosis (21 papers) and Advanced MRI Techniques and Applications (20 papers). Caizhong Chen collaborates with scholars based in China, United States and Germany. Caizhong Chen's co-authors include Shengxiang Rao, Ying Ding, Mengsu Zeng, Li Yang, Caixia Fu, Chun Yang, Mengsu Zeng, Wentao Wang, Dongsheng Gu and Jingwei Wei and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Roentgenology.

In The Last Decade

Caizhong Chen

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caizhong Chen China 18 842 528 339 194 171 62 1.2k
Shigeki Arizono Japan 17 681 0.8× 568 1.1× 402 1.2× 227 1.2× 182 1.1× 48 1.3k
Katsuhiro Nasu Japan 19 1.2k 1.4× 370 0.7× 241 0.7× 120 0.6× 171 1.0× 46 1.5k
Katsuhiko Mitsuzaki Japan 17 713 0.8× 527 1.0× 370 1.1× 313 1.6× 211 1.2× 40 1.3k
Taiji Nishiharu Japan 12 456 0.5× 517 1.0× 325 1.0× 239 1.2× 130 0.8× 24 966
S Sumi Japan 12 375 0.4× 348 0.7× 197 0.6× 205 1.1× 73 0.4× 16 813
Marcel T. H. Oei Netherlands 9 759 0.9× 147 0.3× 491 1.4× 172 0.9× 257 1.5× 15 1.1k
Toshiaki Nitatori Japan 16 704 0.8× 128 0.2× 189 0.6× 231 1.2× 278 1.6× 54 1.2k
Seishi Kumano Japan 23 610 0.7× 668 1.3× 577 1.7× 341 1.8× 89 0.5× 42 1.5k
Hiroki Haradome Japan 21 887 1.1× 583 1.1× 744 2.2× 307 1.6× 688 4.0× 45 2.0k

Countries citing papers authored by Caizhong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Caizhong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caizhong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Caizhong Chen. A scholar is included among the top collaborators of Caizhong Chen 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 Caizhong Chen. Caizhong Chen 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.
Qian, Xianling, Yali Wu, Peter Speier, et al.. (2025). Comparison of pilot tone-triggered and electrocardiogram-triggered cardiac magnetic resonance imaging: a prospective clinical feasibility study. Journal of Cardiovascular Magnetic Resonance. 27(2). 101925–101925.
2.
Zhao, Junbo, Tingting Wang, Bin Wang, et al.. (2025). Deep learning radiomics fusion model to predict visceral pleural invasion of clinical stage IA lung adenocarcinoma: a multicenter study. Journal of Cardiothoracic Surgery. 20(1). 246–246. 1 indexed citations
3.
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Liu, Kai, Xingxing Wang, Caixia Fu, et al.. (2024). Feasibility of deep learning-reconstructed thin-slice single-breath-hold HASTE for detecting pancreatic lesions: A comparison with two conventional T2-weighted imaging sequences. SHILAP Revista de lepidopterología. 9. 100038–100038. 4 indexed citations
5.
Yun, Hong, Caizhong Chen, Yinyin Chen, et al.. (2022). The prognostic value of global myocardium strain by CMR-feature tracking in immune checkpoint inhibitor–associated myocarditis. European Radiology. 32(11). 7657–7667. 16 indexed citations
6.
Sun, Wei‐Zen, et al.. (2021). Feasibility of compressed sensing technique for isotropic dynamic contrast-enhanced liver magnetic resonance imaging. European Journal of Radiology. 139. 109729–109729. 9 indexed citations
7.
Peng, Weifeng, Dazhi Yin, Wei Sun, et al.. (2018). Functional network changes in the hippocampus contribute to depressive symptoms in epilepsy. Seizure. 60. 16–22. 5 indexed citations
8.
Wang, Wentao, Ying Ding, Li Yang, et al.. (2018). T 1 mapping on gadoxetic acid-enhanced MR imaging predicts recurrence of hepatocellular carcinoma after hepatectomy. European Journal of Radiology. 103. 25–31. 14 indexed citations
9.
Li, Ruokun, Mengsu Zeng, Jinwei Qiang, et al.. (2015). Value of MR susceptibility weighted imaging for characterization of small hepatocellular carcinoma in cirrhotic livers. Zhonghua fangshexian yixue zazhi. 49(7). 520–524. 1 indexed citations
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Ding, Ying, et al.. (2014). Potential of Gd-EOB-DTPA-enhanced MR imaging for evaluation of bile duct ligation-induced liver injury in rabbits. Hepatology International. 9(2). 303–309. 3 indexed citations
13.
Ding, Ying, Caizhong Chen, Shengxiang Rao, & Mengsu Zeng. (2013). A compared study on Gd+-EOB-DTPA and Gd+-DTPA-enhanced MRI in detection of hepatocellular carcinoma. Zhonghua putong waike zazhi. 28(9). 682–685.
14.
Chen, Caizhong, Shengxiang Rao, Ying Ding, et al.. (2013). Hepatocellular carcinoma 20 mm or smaller in cirrhosis patients: early magnetic resonance enhancement by gadoxetic acid compared with gadopentetate dimeglumine. Hepatology International. 8(1). 104–111. 6 indexed citations
15.
Zhao, Jing, et al.. (2013). Primary hepatic neuroendocrine carcinoma: MR imaging findings including preliminary observation on diffusion-weighted imaging. Abdominal Imaging. 38(6). 1269–1276. 18 indexed citations
16.
Peng, Weifeng, Jing Ding, Xin Li, et al.. (2013). Increased ratio of glutamate/glutamine to creatine in the right hippocampus contributes to depressive symptoms in patients with epilepsy. Epilepsy & Behavior. 29(1). 144–149. 13 indexed citations
17.
Dai, Yongming, Mengsu Zeng, Ruokun Li, et al.. (2011). Improving detection of siderotic nodules in cirrhotic liver with a multi‐breath‐hold susceptibility‐weighted imaging technique. Journal of Magnetic Resonance Imaging. 34(2). 318–325. 39 indexed citations
18.
Xu, Pengju, Fuhua Yan, Jianhua Wang, et al.. (2010). Contribution of Diffusion-Weighted Magnetic Resonance Imaging in the Characterization of Hepatocellular Carcinomas and Dysplastic Nodules in Cirrhotic Liver. Journal of Computer Assisted Tomography. 34(4). 506–512. 85 indexed citations
19.
Jin, Hang, et al.. (2009). A study of in vitro and in vivo MR of free-breathing whole-heart 3D coronary angiography using parallel imaging. International journal of cardiac imaging. 25(S1). 121–129. 7 indexed citations
20.
Rao, Shengxiang, Mengsu Zeng, Caizhong Chen, et al.. (2007). The value of diffusion-weighted imaging in combination with T2-weighted imaging for rectal cancer detection. European Journal of Radiology. 65(2). 299–303. 86 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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