Mianxin Liu

681 total citations
32 papers, 346 citations indexed

About

Mianxin Liu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Mianxin Liu has authored 32 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Psychiatry and Mental health. Recurrent topics in Mianxin Liu's work include Functional Brain Connectivity Studies (19 papers), Neural dynamics and brain function (13 papers) and EEG and Brain-Computer Interfaces (10 papers). Mianxin Liu is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Neural dynamics and brain function (13 papers) and EEG and Brain-Computer Interfaces (10 papers). Mianxin Liu collaborates with scholars based in China, Hong Kong and United Kingdom. Mianxin Liu's co-authors include Changsong Zhou, Pan Lin, Rong Wang, Tao Zhou, Ying Wu, Dinggang Shen, Han Zhang, Thomas Knöpfel, Chenchen Song and Feng Shi and has published in prestigious journals such as Physical Review Letters, Nature Communications and Journal of Neuroscience.

In The Last Decade

Mianxin Liu

26 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mianxin Liu China	11	229	59	59	37	33	32	346
Arian Ashourvan United States	12	304 1.3×	57 1.0×	56 0.9×	82 2.2×	34 1.0×	18	428
Onerva Korhonen Finland	7	509 2.2×	42 0.7×	91 1.5×	49 1.3×	73 2.2×	8	562
James C. Pang Australia	10	280 1.2×	26 0.4×	116 2.0×	34 0.9×	25 0.8×	26	357
Carlo Nicolini Italy	9	146 0.6×	81 1.4×	43 0.7×	16 0.4×	36 1.1×	14	269
Matthew J. Aburn Australia	6	195 0.9×	24 0.4×	54 0.9×	36 1.0×	28 0.8×	6	258
Ariel Haimovici Argentina	5	315 1.4×	82 1.4×	51 0.9×	43 1.2×	24 0.7×	5	373
Vasso Tsirka Greece	8	482 2.1×	32 0.5×	73 1.2×	22 0.6×	76 2.3×	8	524
Xiao Gao Australia	11	172 0.8×	25 0.4×	30 0.5×	36 1.0×	30 0.9×	37	323
Young-Ah Rho United States	6	542 2.4×	61 1.0×	136 2.3×	99 2.7×	45 1.4×	7	588
Xi-Nian Zuo China	4	265 1.2×	27 0.5×	121 2.1×	20 0.5×	41 1.2×	5	303

Countries citing papers authored by Mianxin Liu

Since Specialization

Citations

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

Fields of papers citing papers by Mianxin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mianxin Liu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Mianxin, Fang Yan, Лей Ма, et al.. (2025). Cost-effective instruction learning for pathology vision and language analysis. Nature Computational Science. 5(7). 524–533.

Liu, Yuxiao, et al.. (2025). Amyloid-β Deposition Prediction With Large Language Model Driven and Task-Oriented Learning of Brain Functional Networks. IEEE Transactions on Medical Imaging. 44(4). 1809–1820.

Zhang, Huifeng, Mianxin Liu, Rubai Zhou, et al.. (2024). Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification. IEEE Transactions on Affective Computing. 15(3). 1826–1837.

Zhang, Huifeng, Mianxin Liu, Dongdong Chen, et al.. (2024). Randomizing Human Brain Function Representation for Brain Disease Diagnosis. IEEE Transactions on Medical Imaging. 43(7). 2537–2546. 3 indexed citations

Li, Guanglei, Shuhao Mei, Yi‐Cheng Hsu, et al.. (2024). Deep mutual learning on hybrid amino acid PET predicts H3K27M mutations in midline gliomas. npj Precision Oncology. 8(1). 274–274.

Zhang, Jingyang, Lei Ma, Mianxin Liu, et al.. (2024). Structure-Aware Registration Network for Liver DCE-CT Images. IEEE Journal of Biomedical and Health Informatics. 28(4). 2163–2174. 5 indexed citations

Yu, Yang, et al.. (2024). Exploring the feasibility of integrating ultra‐high field magnetic resonance imaging neuroimaging with multimodal artificial intelligence for clinical diagnostics. SHILAP Revista de lepidopterología. 2(5). 498–509. 3 indexed citations

Liu, Mianxin, Weiguo Hu, Xiaoming Shi, et al.. (2024). MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models. Big Data Mining and Analytics. 7(4). 1116–1128. 6 indexed citations

Liu, Mianxin, Han Zhang, Feng Shi, & Dinggang Shen. (2023). Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 15182–15194. 34 indexed citations

10.

Liu, Mianxin, Jingyang Zhang, Yan Zhou, et al.. (2023). A common spectrum underlying brain disorders across lifespan revealed by deep learning on brain networks. iScience. 26(11). 108244–108244. 2 indexed citations

11.

Song, Chenchen, et al.. (2023). Complexity of cortical wave patterns of the wake mouse cortex. Nature Communications. 14(1). 1434–1434. 15 indexed citations

12.

Liu, Mianxin, Qi Huang, Lin Huang, et al.. (2023). Dysfunctions of multiscale dynamic brain functional networks in subjective cognitive decline. Brain Communications. 6(1). fcae010–fcae010. 1 indexed citations

13.

Zhang, Jingyang, Ran Gu, Mianxin Liu, et al.. (2023). S³R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites. IEEE Transactions on Medical Imaging. 42(9). 2539–2551. 5 indexed citations

14.

Liu, Mianxin, et al.. (2023). Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. 1 indexed citations

15.

Liu, Mianxin, Jing Xia, Qing Yang, et al.. (2023). Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning. IEEE Journal of Biomedical and Health Informatics. 27(11). 5430–5438. 6 indexed citations

16.

Yuan, Yifan, Yang Yu, Jun Chang, et al.. (2023). Convolutional neural network to predict IDH mutation status in glioma from chemical exchange saturation transfer imaging at 7 Tesla. Frontiers in Oncology. 13. 1134626–1134626. 11 indexed citations

17.

Liu, Mianxin, Han Zhang, Qing Yang, et al.. (2022). Multiscale functional connectome abnormality predicts cognitive outcomes in subcortical ischemic vascular disease. Cerebral Cortex. 32(21). 4641–4656. 13 indexed citations

18.

Ouyang, Guang, Sheng-Jun Wang, Mianxin Liu, Mingsha Zhang, & Changsong Zhou. (2022). Multilevel and multifaceted brain response features in spiking, ERP and ERD: experimental observation and simultaneous generation in a neuronal network model with excitation–inhibition balance. Cognitive Neurodynamics. 17(6). 1417–1431. 4 indexed citations

19.

Liu, Mianxin, et al.. (2019). Assessing spatiotemporal variability of brain spontaneous activity by multiscale entropy and functional connectivity. NeuroImage. 198. 198–220. 29 indexed citations

20.

Liu, Mianxin, Wei Wang, Ying Liu, et al.. (2017). Social contagions on time-varying community networks. Physical review. E. 95(5). 52306–52306. 37 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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