Miao Cao

2.4k total citations
24 papers, 1.6k citations indexed

About

Miao Cao is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Miao Cao has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Psychiatry and Mental health. Recurrent topics in Miao Cao's work include Functional Brain Connectivity Studies (23 papers), Neural dynamics and brain function (11 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Miao Cao is often cited by papers focused on Functional Brain Connectivity Studies (23 papers), Neural dynamics and brain function (11 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Miao Cao collaborates with scholars based in China, United States and Australia. Miao Cao's co-authors include Yong He, Hao Huang, Ni Shu, Mingrui Xia, Qi Dong, Zhengjia Dai, Jinhui Wang, Xuhong Liao, Xi‐Nian Zuo and Yanchao Bi and has published in prestigious journals such as Nature Communications, NeuroImage and Brain.

In The Last Decade

Miao Cao

23 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miao Cao China 15 1.4k 657 282 190 190 24 1.6k
Maria Boersma Netherlands 14 1.8k 1.3× 455 0.7× 235 0.8× 180 0.9× 263 1.4× 17 2.1k
Binyam Nardos United States 7 1.5k 1.1× 607 0.9× 328 1.2× 111 0.6× 307 1.6× 11 1.9k
Juha Nikkinen Finland 25 2.0k 1.4× 957 1.5× 333 1.2× 114 0.6× 213 1.1× 66 2.5k
Nhat Trung Doan Norway 22 984 0.7× 646 1.0× 337 1.2× 96 0.5× 277 1.5× 37 1.5k
David S. Grayson United States 14 1000 0.7× 379 0.6× 229 0.8× 123 0.6× 143 0.8× 16 1.3k
Óscar Miranda-Domínguez United States 19 1.2k 0.9× 436 0.7× 286 1.0× 175 0.9× 255 1.3× 50 1.9k
Rodrigo M. Braga United States 18 1.7k 1.2× 481 0.7× 174 0.6× 90 0.5× 319 1.7× 31 1.9k
Graham L. Baum United States 13 1.3k 1.0× 686 1.0× 159 0.6× 94 0.5× 289 1.5× 21 1.6k
Sarael Alcauter Mexico 21 1.2k 0.8× 475 0.7× 186 0.7× 385 2.0× 153 0.8× 62 1.7k
Joseph W. Dubis United States 7 2.0k 1.4× 706 1.1× 265 0.9× 139 0.7× 422 2.2× 7 2.3k

Countries citing papers authored by Miao Cao

Since Specialization
Citations

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

Fields of papers citing papers by Miao Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Miao Cao. A scholar is included among the top collaborators of Miao 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 Miao Cao. Miao 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
1.
Yang, Yixuan, Yunqing Lin, Jianyu Zhu, et al.. (2025). Interictal neural fragility predicts seizure onset zone and surgical outcomes in drug-resistant epilepsy. PeerJ. 13. e19548–e19548.
2.
Karimi-Rouzbahani, Hamid, Simon J. Vogrin, Miao Cao, Chris Plummer, & Aileen McGonigal. (2024). Multimodal and quantitative analysis of the epileptogenic zone network in the pre-surgical evaluation of drug-resistant focal epilepsy. Neurophysiologie Clinique. 54(6). 103021–103021. 3 indexed citations
3.
Cao, Miao, Wei Cui, Bingjiang Lyu, et al.. (2023). An artificial intelligence–based pipeline for automated detection and localisation of epileptic sources from magnetoencephalography. Journal of Neural Engineering. 20(4). 46036–46036. 3 indexed citations
4.
Cao, Miao, Simon J. Vogrin, Sara Vogrin, et al.. (2022). Virtual intracranial EEG signals reconstructed from MEG with potential for epilepsy surgery. Nature Communications. 13(1). 994–994. 22 indexed citations
5.
Cui, Wei, et al.. (2022). EMHapp: a pipeline for the automatic detection, localization and visualization of epileptic magnetoencephalographic high-frequency oscillations. Journal of Neural Engineering. 19(5). 55009–55009. 2 indexed citations
6.
Luo, Shen, Miao Cao, Ke Xu, et al.. (2022). Informed MEG/EEG source imaging reveals the locations of interictal spikes missed by SEEG. NeuroImage. 254. 119132–119132. 6 indexed citations
7.
Yu, Yuguo, Péter Hermán, Miao Cao, et al.. (2022). A 3D atlas of functional human brain energetic connectome based on neuropil distribution. Cerebral Cortex. 33(7). 3996–4012. 12 indexed citations
8.
Cao, Miao, et al.. (2022). Dynamical Network Models From EEG and MEG for Epilepsy Surgery—A Quantitative Approach. Frontiers in Neurology. 13. 837893–837893. 8 indexed citations
9.
Liao, Xuhong, Miao Cao, Mingrui Xia, & Yong He. (2017). Individual differences and time-varying features of modular brain architecture. NeuroImage. 152. 94–107. 87 indexed citations
10.
Cao, Miao, Hao Huang, & Yong He. (2017). Developmental Connectomics from Infancy through Early Childhood. Trends in Neurosciences. 40(8). 494–506. 170 indexed citations
11.
Sha, Zhiqiang, Mingrui Xia, Qixiang Lin, et al.. (2017). Meta-Connectomic Analysis Reveals Commonly Disrupted Functional Architectures in Network Modules and Connectors across Brain Disorders. Cerebral Cortex. 28(12). 4179–4194. 60 indexed citations
12.
Cao, Miao, Yong He, Zhengjia Dai, et al.. (2016). Early Development of Functional Network Segregation Revealed by Connectomic Analysis of the Preterm Human Brain. Cerebral Cortex. 27(3). bhw038–bhw038. 134 indexed citations
13.
Cao, Miao, Hao Huang, Yun Peng, Qi Dong, & Yong He. (2016). Toward Developmental Connectomics of the Human Brain. Frontiers in Neuroanatomy. 10. 25–25. 100 indexed citations
14.
Zhao, Tengda, Miao Cao, Haijing Niu, et al.. (2015). Age‐related changes in the topological organization of the white matter structural connectome across the human lifespan. Human Brain Mapping. 36(10). 3777–3792. 140 indexed citations
15.
Zhao, Tengda, Fei Duan, Xuhong Liao, et al.. (2015). Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study. Frontiers in Human Neuroscience. 9. 59–59. 24 indexed citations
16.
He, Yong, Miao Cao, & Zhijiang Wang. (2015). Connectomics in psychiatric research: advances and applications. Neuropsychiatric Disease and Treatment. 11. 2801–2801. 31 indexed citations
17.
Cao, Miao, Ni Shu, Qingjiu Cao, Yufeng Wang, & Yong He. (2014). Imaging Functional and Structural Brain Connectomics in Attention-Deficit/Hyperactivity Disorder. Molecular Neurobiology. 50(3). 1111–1123. 128 indexed citations
18.
Dai, Zhengjia, Chao‐Gan Yan, Kuncheng Li, et al.. (2014). Identifying and Mapping Connectivity Patterns of Brain Network Hubs in Alzheimer's Disease. Cerebral Cortex. 25(10). 3723–3742. 237 indexed citations
19.
Eilam‐Stock, Tehila, Pengfei Xu, Miao Cao, et al.. (2014). Abnormal autonomic and associated brain activities during rest in autism spectrum disorder. Brain. 137(1). 153–171. 61 indexed citations
20.
Cao, Miao, Jinhui Wang, Zhengjia Dai, et al.. (2013). Topological organization of the human brain functional connectome across the lifespan. Developmental Cognitive Neuroscience. 7. 76–93. 331 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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