Gemeng Zhang

416 total citations
15 papers, 239 citations indexed

About

Gemeng Zhang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Gemeng Zhang has authored 15 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Gemeng Zhang's work include Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Gemeng Zhang is often cited by papers focused on Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Gemeng Zhang collaborates with scholars based in United States, China and Australia. Gemeng Zhang's co-authors include Vince D. Calhoun, Yu‐Ping Wang, Biao Cai, Aiying Zhang, Tony W. Wilson, Julia M. Stephen, Wenxing Hu, Li Xiao, Gang Qu and Xiang‐He Meng and has published in prestigious journals such as NeuroImage, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Gemeng Zhang

13 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gemeng Zhang United States	10	175	98	32	27	14	15	239
Biao Cai United States	12	255 1.5×	149 1.5×	47 1.5×	38 1.4×	25 1.8×	23	408
Harini Eavani United States	9	252 1.4×	156 1.6×	17 0.5×	26 1.0×	8 0.6×	12	314
Hejie Cui United States	7	125 0.7×	47 0.5×	90 2.8×	16 0.6×	25 1.8×	26	237
Guangqi Wen China	8	175 1.0×	39 0.4×	69 2.2×	20 0.7×	23 1.6×	19	279
Ying Xing China	5	226 1.3×	91 0.9×	41 1.3×	45 1.7×	24 1.7×	8	280
Elvis Dohmatob France	8	332 1.9×	180 1.8×	48 1.5×	36 1.3×	17 1.2×	16	408
Atif Riaz United Kingdom	7	254 1.5×	65 0.7×	29 0.9×	22 0.8×	7 0.5×	9	303
Renping Yu China	9	223 1.3×	84 0.9×	39 1.2×	36 1.3×	11 0.8×	29	327
Bellec Pierre	3	271 1.5×	105 1.1×	59 1.8×	14 0.5×	13 0.9×	3	339
Jessica Dafflon United Kingdom	8	122 0.7×	54 0.6×	27 0.8×	26 1.0×	9 0.6×	10	216

Countries citing papers authored by Gemeng Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Gemeng Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemeng Zhang

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

All Works

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15 of 15 papers shown

Zhang, Aiying, Gemeng Zhang, Biao Cai, et al.. (2024). A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence. Network Neuroscience. 8(3). 791–807.

Qu, Gang, Gemeng Zhang, Li Xiao, et al.. (2023). Interpretable Cognitive Ability Prediction: A Comprehensive Gated Graph Transformer Framework for Analyzing Functional Brain Networks. IEEE Transactions on Medical Imaging. 43(4). 1568–1578. 6 indexed citations

Qu, Gang, Gemeng Zhang, Binish Patel, et al.. (2022). Latent Similarity Identifies Important Functional Connections for Phenotype Prediction. IEEE Transactions on Biomedical Engineering. 70(6). 1979–1989. 5 indexed citations

Zhang, Gemeng, Biao Cai, Aiying Zhang, et al.. (2022). Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model. NeuroImage. 260. 119451–119451. 12 indexed citations

Hu, Wenxing, Xiang‐He Meng, Yuntong Bai, et al.. (2021). Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition. IEEE Transactions on Medical Imaging. 40(5). 1474–1483. 40 indexed citations

Cai, Biao, Gemeng Zhang, Aiying Zhang, et al.. (2021). Functional connectome fingerprinting: Identifying individuals and predicting cognitive functions via autoencoder. Human Brain Mapping. 42(9). 2691–2705. 34 indexed citations

Xiao, Li, Gemeng Zhang, Biao Cai, et al.. (2020). Multi-Paradigm fMRI Fusion via Sparse Tensor Decomposition in Brain Functional Connectivity Study. IEEE Journal of Biomedical and Health Informatics. 25(5). 1712–1723. 11 indexed citations

Zhou, Zhongxing, Biao Cai, Gemeng Zhang, et al.. (2020). Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI. NeuroImage. 221. 117190–117190. 19 indexed citations

Zhang, Aiying, Gemeng Zhang, Vince D. Calhoun, & Yu‐Ping Wang. (2020). Causal brain network in schizophrenia by a two-step Bayesian network analysis. 40–40. 1 indexed citations

10.

Zhang, Gemeng, Aiying Zhang, Vince D. Calhoun, & Yu‐Ping Wang. (2020). A causal brain network estimation method leveraging Bayesian analysis and the PC algorithm. 32–32.

11.

Zhang, Gemeng, Biao Cai, Aiying Zhang, et al.. (2019). Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model. IEEE Transactions on Medical Imaging. 39(2). 488–498. 36 indexed citations

12.

Cai, Biao, Gemeng Zhang, Aiying Zhang, et al.. (2019). A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity. Journal of Neuroscience Methods. 332. 108531–108531. 13 indexed citations

13.

Cai, Biao, Gemeng Zhang, Wenxing Hu, et al.. (2019). Refined measure of functional connectomes for improved identifiability and prediction. Human Brain Mapping. 40(16). 4843–4858. 14 indexed citations

14.

Cai, Biao, Gemeng Zhang, Aiying Zhang, et al.. (2018). Capturing Dynamic Connectivity From Resting State fMRI Using Time-Varying Graphical Lasso. IEEE Transactions on Biomedical Engineering. 66(7). 1852–1862. 37 indexed citations

15.

Yue, Zongsheng, Deyu Meng, Juan He, & Gemeng Zhang. (2016). Semi-supervised learning through adaptive Laplacian graph trimming. Image and Vision Computing. 60. 38–47. 11 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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