Nianming Zuo

1.4k total citations
31 papers, 601 citations indexed

About

Nianming Zuo is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Nianming Zuo has authored 31 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 14 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Nianming Zuo's work include Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Nianming Zuo is often cited by papers focused on Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Nianming Zuo collaborates with scholars based in China, Australia and United States. Nianming Zuo's co-authors include Tianzi Jiang, Jing Sui, Shile Qi, Rongtao Jiang, Vince D. Calhoun, Zening Fu, Lingzhong Fan, Ming Song, Sangma Xie and Chuanjun Zhuo and has published in prestigious journals such as Nature Communications, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Nianming Zuo

28 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nianming Zuo China	12	434	233	128	69	31	31	601
Daniel Birman United States	5	449 1.0×	203 0.9×	64 0.5×	83 1.2×	33 1.1×	5	633
Muzhi Yang United States	6	801 1.8×	237 1.0×	187 1.5×	96 1.4×	15 0.5×	8	943
Karthik Sreenivasan United States	17	524 1.2×	208 0.9×	131 1.0×	102 1.5×	55 1.8×	34	808
Nanbo Sun United States	9	798 1.8×	357 1.5×	236 1.8×	139 2.0×	39 1.3×	11	965
P Rajesh India	8	446 1.0×	229 1.0×	72 0.6×	111 1.6×	29 0.9×	18	588
Christine Law United States	9	480 1.1×	223 1.0×	103 0.8×	73 1.1×	40 1.3×	20	709
Ryan V. Raut United States	10	606 1.4×	231 1.0×	81 0.6×	44 0.6×	28 0.9×	14	705
Jingyuan E. Chen United States	11	685 1.6×	322 1.4×	92 0.7×	63 0.9×	20 0.6×	19	817
Hamdi Eryilmaz United States	13	453 1.0×	140 0.6×	128 1.0×	69 1.0×	46 1.5×	24	682
Jacqueline M. Hampton United States	4	856 2.0×	372 1.6×	148 1.2×	68 1.0×	54 1.7×	4	982

Countries citing papers authored by Nianming Zuo

Since Specialization

Citations

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

Fields of papers citing papers by Nianming Zuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nianming Zuo

This figure shows the co-authorship network connecting the top 25 collaborators of Nianming Zuo. A scholar is included among the top collaborators of Nianming Zuo 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 Nianming Zuo. Nianming Zuo 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

Xing, Xiangzhuo, Song Huang, Xiao Tang, et al.. (2025). Pressure-induced superconductivity, amorphization, and topological phase transitions in the topological semimetal MoP4. Physical review. B.. 111(14). 3 indexed citations

Liu, Hao, Jin Fang, Yihang Wang, et al.. (2025). A wearable repetitive transcranial magnetic stimulation device. Nature Communications. 16(1). 2731–2731. 6 indexed citations

Fang, Jin, Liang Ma, Yongfeng Yang, et al.. (2025). Stimulation Effects Mapping for Optimizing Coil Placement for Transcranial Magnetic Stimulation. Neuroinformatics. 23(1). 1–1. 4 indexed citations

Gao, Feng, et al.. (2025). Forecasting China’s carbon prices using a TVFEMD-DLinear framework incorporating climate policy uncertainty. Environmental Impact Assessment Review. 117. 108242–108242.

Zuo, Nianming, Xiangzhuo Xing, Xinyu Yao, et al.. (2025). In‐Plane Magnetic Anisotropy and Large Topological Hall Effect in Self‐Intercalated Ferromagnet Cr _1.61 Te ₂. Advanced Functional Materials. 36(3).

Zhong, Guoqiang, et al.. (2024). GLADA: Global and Local Associative Domain Adaptation for EEG-Based Emotion Recognition. IEEE Transactions on Cognitive and Developmental Systems. 17(1). 167–178. 5 indexed citations

Liu, Hao, Yihang Wang, Zhengyi Yang, et al.. (2024). A Novel Real-time Phase Prediction Network in EEG Rhythm. Neuroscience Bulletin. 41(3). 391–405. 2 indexed citations

Jiang, Tianzi, et al.. (2023). MLDA: Multi-Loss Domain Adaptor for Cross-Session and Cross-Emotion EEG-Based Individual Identification. IEEE Journal of Biomedical and Health Informatics. 27(12). 5767–5778. 7 indexed citations

Zuo, Nianming & Tianzi Jiang. (2020). Multi-modal human brain mapping and Brainnetome study. Scientia Sinica Vitae. 50(11). 1296–1308.

10.

Zuo, Nianming, Alireza Salami, Yihong Yang, et al.. (2019). Activation‐based association profiles differentiate network roles across cognitive loads. Human Brain Mapping. 40(9). 2800–2812. 17 indexed citations

11.

Zuo, Nianming, Alireza Salami, Hao Liu, Zhengyi Yang, & Tianzi Jiang. (2019). Functional maintenance in the multiple demand network characterizes superior fluid intelligence in aging. Neurobiology of Aging. 85. 145–153. 9 indexed citations

12.

Jiang, Rongtao, Nianming Zuo, Judith M. Ford, et al.. (2019). Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. NeuroImage. 207. 116370–116370. 96 indexed citations

13.

Zuo, Nianming, Zhengyi Yang, Yong Liu, Jin Li, & Tianzi Jiang. (2018). Core networks and their reconfiguration patterns across cognitive loads. Human Brain Mapping. 39(9). 3546–3557. 31 indexed citations

14.

Jiang, Rongtao, Vince D. Calhoun, Nianming Zuo, et al.. (2018). Connectome-based individualized prediction of temperament trait scores. NeuroImage. 183. 366–374. 66 indexed citations

15.

Xie, Sangma, Liangfu Chen, Nianming Zuo, & Tianzi Jiang. (2016). DiffusionKit: A light one-stop solution for diffusion MRI data analysis. Journal of Neuroscience Methods. 273. 107–119. 50 indexed citations

16.

Xie, Sangma, et al.. (2015). How Does B-Value Affect HARDI Reconstruction Using Clinical Diffusion MRI Data?. PLoS ONE. 10(3). e0120773–e0120773. 19 indexed citations

17.

Zuo, Nianming, Jiliang Fang, Yuan Zhou, et al.. (2012). White Matter Abnormalities in Major Depression: A Tract-Based Spatial Statistics and Rumination Study. PLoS ONE. 7(5). e37561–e37561. 69 indexed citations

18.

Zuo, Nianming, Jian Cheng, & Tianzi Jiang. (2012). Diffusion magnetic resonance imaging for Brainnetome: A critical review. Neuroscience Bulletin. 28(4). 375–388. 14 indexed citations

19.

Xia, Dan, Lifeng Yu, Emil Y. Sidky, et al.. (2007). Noise Properties of Chord-Image Reconstruction. IEEE Transactions on Medical Imaging. 26(10). 1328–1344. 10 indexed citations

20.

Zuo, Nianming, Dan Xia, Yu Zou, Tianzi Jiang, & Xiaochuan Pan. (2006). Chord‐based image reconstruction in cone‐beam CT with a curved detector. Medical Physics. 33(10). 3743–3757. 2 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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