Chunmiao Chen

497 total citations
19 papers, 345 citations indexed

About

Chunmiao Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Chunmiao Chen has authored 19 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Chunmiao Chen's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and MRI in cancer diagnosis (3 papers). Chunmiao Chen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and MRI in cancer diagnosis (3 papers). Chunmiao Chen collaborates with scholars based in China, Japan and Canada. Chunmiao Chen's co-authors include Jiansong Ji, Fazong Wu, Xianghua Hu, Shiji Fang, Liyun Zheng, Jianfei Tu, Qiaoyou Weng, Zhongwei Zhao, Jingjing Song and Jiansong Ji and has published in prestigious journals such as Biomaterials, Frontiers in Microbiology and Neuroscience Letters.

In The Last Decade

Chunmiao Chen

18 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunmiao Chen China 10 160 107 74 56 53 19 345
Công Trung Nguyễn France 6 65 0.4× 28 0.3× 35 0.5× 62 1.1× 15 0.3× 6 258
Peiqing Ma China 9 76 0.5× 70 0.7× 46 0.6× 54 1.0× 15 0.3× 14 287
Hao Cui China 11 213 1.3× 113 1.1× 32 0.4× 10 0.2× 22 0.4× 41 414
Yixuan Zhao China 10 176 1.1× 103 1.0× 53 0.7× 7 0.1× 13 0.2× 25 363
Ruotian Wang China 10 118 0.7× 81 0.8× 28 0.4× 18 0.3× 15 0.3× 38 310
Fubo Zhou China 5 148 0.9× 72 0.7× 46 0.6× 83 1.5× 41 0.8× 6 323
Ke Yin China 10 139 0.9× 63 0.6× 63 0.9× 4 0.1× 22 0.4× 22 326
Jingwu Li China 9 244 1.5× 222 2.1× 24 0.3× 8 0.1× 21 0.4× 33 390
Xuhui Huang China 10 162 1.0× 99 0.9× 8 0.1× 22 0.4× 19 0.4× 27 369
Hulin Chang China 14 277 1.7× 177 1.7× 13 0.2× 75 1.3× 13 0.2× 26 525

Countries citing papers authored by Chunmiao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chunmiao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunmiao Chen

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

All Works

19 of 19 papers shown
1.
Hua, Yingjie, Yanxia Geng, Yan Liu, et al.. (2024). Identification of Specific Abnormal Brain Functional Activity and Connectivity in Cancer Pain Patients: A Preliminary Resting-State fMRI Study. Journal of Pain Research. Volume 17. 3959–3971. 2 indexed citations
2.
Chen, Minjiang, Gaofeng Shu, Xiuling Lv, et al.. (2022). HIF-2α-targeted interventional chemoembolization multifunctional microspheres for effective elimination of hepatocellular carcinoma. Biomaterials. 284. 121512–121512. 45 indexed citations
3.
Chen, Lei, et al.. (2022). Humanization of Yeasts for Glycan-Type End-Products. Frontiers in Microbiology. 13. 930658–930658. 9 indexed citations
4.
Zhang, Yu, Xianghua Hu, Limin Zhou, et al.. (2022). Detection of mild cognitive impairment in type 2 diabetes mellitus based on machine learning using privileged information. Neuroscience Letters. 791. 136908–136908. 6 indexed citations
5.
6.
Wang, Yajie, et al.. (2022). The use of SNAP and T1-weighted VISTA in cervical artery dissection. Interventional Neuroradiology. 29(3). 235–242.
7.
Tu, Jianfei, Fazong Wu, Li Chen, et al.. (2021). Long Non-Coding RNA PCAT6 Induces M2 Polarization of Macrophages in Cholangiocarcinoma via Modulating miR-326 and RhoA-ROCK Signaling Pathway. Frontiers in Oncology. 10. 680500–680500. 34 indexed citations
8.
Chen, Minjiang, Xiaoling Xu, Gaofeng Shu, et al.. (2021). Multifunctional Microspheres Dual-Loaded with Doxorubicin and Sodium Bicarbonate Nanoparticles to Introduce Synergistic Trimodal Interventional Therapy. ACS Applied Bio Materials. 4(4). 3476–3489. 11 indexed citations
9.
Lv, Xiuling, Minjiang Chen, Chunli Kong, et al.. (2021). Construction of a novel radiomics nomogram for the prediction of aggressive intrasegmental recurrence of HCC after radiofrequency ablation. European Journal of Radiology. 144. 109955–109955. 15 indexed citations
10.
Chen, Weiqian, Jingjing Song, Siyu Liu, et al.. (2021). USP9X promotes apoptosis in cholangiocarcinoma by modulation expression of KIF1Bβ via deubiquitinating EGLN3. Journal of Biomedical Science. 28(1). 44–44. 17 indexed citations
11.
12.
Xue, Cheng, et al.. (2020). 3.0 T Magnetic Resonance Functional Imaging Quantitative Parameters for Differential Diagnosis of Benign and Malignant Lesions of the Breast. Cancer Biotherapy and Radiopharmaceuticals. 36(6). 448–455. 2 indexed citations
13.
Zhao, Zhongwei, Jingjing Song, Bufu Tang, et al.. (2020). CircSOD2 induced epigenetic alteration drives hepatocellular carcinoma progression through activating JAK2/STAT3 signaling pathway. Journal of Experimental & Clinical Cancer Research. 39(1). 259–259. 70 indexed citations
14.
Hu, Xianghua, Zhongxue Li, Chunmiao Chen, et al.. (2020). Non-invasive evaluation for benign and malignant subcentimeter pulmonary ground-glass nodules (≤1 cm) based on CT texture analysis. British Journal of Radiology. 93(1114). 20190762–20190762. 22 indexed citations
15.
Weng, Wei, Xiuling Lü, Qianqian Zhang, et al.. (2020). [Prediction of short-term prognosis of hepatocellular carcinoma after TACE surgery based on MRI texture analysis technology].. PubMed. 100(11). 828–832. 2 indexed citations
16.
Zhou, Qing, Z. Zhou, Chunmiao Chen, et al.. (2019). Grading of hepatocellular carcinoma using 3D SE-DenseNet in dynamic enhanced MR images. Computers in Biology and Medicine. 107. 47–57. 35 indexed citations
17.
Cheng, Xue, Ri‐Sheng Yu, Min Xu, et al.. (2019). [The correlation between functional magnetic resonance imaging features and expression of Her-2 in breast cancer].. PubMed. 99(31). 2440–2444. 1 indexed citations
18.
Yang, Chao, Wenjin Shen, Hongfeng Chen, et al.. (2018). Characterization and subcellular localization of histone deacetylases and their roles in response to abiotic stresses in soybean. BMC Plant Biology. 18(1). 226–226. 50 indexed citations
19.
Lu, Chenying, et al.. (2015). Evaluation of a Chest Circumference-Adapted Protocol for Low-Dose 128-Slice Coronary CT Angiography with Prospective Electrocardiogram Triggering. Korean Journal of Radiology. 16(1). 13–13. 6 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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