Dairong Cao

1.3k total citations
88 papers, 849 citations indexed

About

Dairong Cao is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Neurology. According to data from OpenAlex, Dairong Cao has authored 88 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Genetics and 21 papers in Neurology. Recurrent topics in Dairong Cao's work include Glioma Diagnosis and Treatment (32 papers), MRI in cancer diagnosis (25 papers) and Advanced Neuroimaging Techniques and Applications (15 papers). Dairong Cao is often cited by papers focused on Glioma Diagnosis and Treatment (32 papers), MRI in cancer diagnosis (25 papers) and Advanced Neuroimaging Techniques and Applications (15 papers). Dairong Cao collaborates with scholars based in China, United States and Finland. Dairong Cao's co-authors include Zhen Xing, Dejun She, Yu Lin, Zebin Xiao, Yingyan Zheng, Xingfu Wang, Jianping Hu, Yijing Zhao, Yan Su and Zhongshuai Zhang and has published in prestigious journals such as Scientific Reports, American Journal of Roentgenology and Physics in Medicine and Biology.

In The Last Decade

Dairong Cao

79 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dairong Cao China 16 468 413 182 150 120 88 849
Shehanaz Ellika United States 12 339 0.7× 430 1.0× 123 0.7× 83 0.6× 131 1.1× 29 747
Jana Ivanidze United States 18 253 0.5× 211 0.5× 419 2.3× 338 2.3× 161 1.3× 80 1.1k
Debraj Mukherjee United States 11 168 0.4× 405 1.0× 100 0.5× 258 1.7× 152 1.3× 15 656
Rajiv Mangla United States 16 399 0.9× 343 0.8× 316 1.7× 265 1.8× 202 1.7× 48 994
Ian Kamaly-Asl United Kingdom 15 201 0.4× 274 0.7× 197 1.1× 151 1.0× 83 0.7× 42 737
Natale Quartuccio Italy 20 381 0.8× 144 0.3× 141 0.8× 100 0.7× 258 2.1× 76 966
Inseon Ryoo South Korea 18 533 1.1× 353 0.9× 63 0.3× 74 0.5× 128 1.1× 50 929
Sandra Canale France 13 297 0.6× 134 0.3× 148 0.8× 77 0.5× 169 1.4× 36 712
Maria Vittoria Mattoli Italy 16 256 0.5× 136 0.3× 102 0.6× 66 0.4× 228 1.9× 37 732

Countries citing papers authored by Dairong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Dairong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dairong Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Dairong Cao. A scholar is included among the top collaborators of Dairong Cao 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 Dairong Cao. Dairong Cao 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
2.
Wang, Lu, Qinqin Yang, Congbo Cai, et al.. (2024). Improved deep learning‐based IVIM parameter estimation via the use of more “realistic” simulated brain data. Medical Physics. 52(4). 2279–2294. 1 indexed citations
6.
Zhang, Yifan, et al.. (2023). Anti-Inflammatory Activity of Phenylethanoids from Acanthus ilicifolius var. xiamenensis. Journal of Medicinal Food. 26(2). 135–145.
7.
Wang, Shuo, Wei Guo, Dejun She, et al.. (2022). Gender differences in lateral pterygoid muscle in patients with anterior disk displacement. Oral Diseases. 29(8). 3481–3492. 3 indexed citations
8.
Chen, Yu, Dejun She, Zhen Xing, et al.. (2022). Evaluation of lateral pterygoid muscle in patients with temporomandibular joint anterior disk displacement using T1-weighted Dixon sequence: a retrospective study. BMC Musculoskeletal Disorders. 23(1). 125–125. 8 indexed citations
10.
She, Dejun, et al.. (2021). Grading of Pediatric Intracranial Tumors: Are Intravoxel Incoherent Motion and Diffusional Kurtosis Imaging Superior to Conventional DWI?. American Journal of Neuroradiology. 42(11). 2046–2053. 7 indexed citations
11.
Xing, Zhen, et al.. (2020). Performance of diffusion and perfusion MRI in evaluating primary central nervous system lymphomas of different locations. BMC Medical Imaging. 20(1). 62–62. 2 indexed citations
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She, Dejun, Jianyi Liu, Zheng Zeng, Zhen Xing, & Dairong Cao. (2018). Diagnostic accuracy of diffusion weighted imaging for differentiation of supratentorial pilocytic astrocytoma and pleomorphic xanthoastrocytoma. Neuroradiology. 60(7). 725–733. 10 indexed citations
14.
She, Dejun, et al.. (2018). MR Imaging Features of Anaplastic Pleomorphic Xanthoastrocytoma Mimicking High-Grade Astrocytoma. American Journal of Neuroradiology. 39(8). 1446–1452. 24 indexed citations
15.
Xiao, Zebin, et al.. (2018). Hepatocellular Carcinoma: Retrospective Evaluation of the Correlation Between Gadobenate Dimeglumine–Enhanced Magnetic Resonance Imaging and Pathologic Grade. Journal of Computer Assisted Tomography. 42(3). 365–372. 6 indexed citations
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Lin, Yu, Zhen Xing, Dejun She, et al.. (2017). IDH mutant and 1p/19q co-deleted oligodendrogliomas: tumor grade stratification using diffusion-, susceptibility-, and perfusion-weighted MRI. Neuroradiology. 59(6). 555–562. 31 indexed citations
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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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