Peipeng Liang

3.2k total citations
97 papers, 2.4k citations indexed

About

Peipeng Liang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Peipeng Liang has authored 97 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cognitive Neuroscience, 30 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Artificial Intelligence. Recurrent topics in Peipeng Liang's work include Functional Brain Connectivity Studies (48 papers), Advanced Neuroimaging Techniques and Applications (25 papers) and EEG and Brain-Computer Interfaces (14 papers). Peipeng Liang is often cited by papers focused on Functional Brain Connectivity Studies (48 papers), Advanced Neuroimaging Techniques and Applications (25 papers) and EEG and Brain-Computer Interfaces (14 papers). Peipeng Liang collaborates with scholars based in China, United States and Japan. Peipeng Liang's co-authors include Kuncheng Li, Xiuqin Jia, Zhi­qun Wang, Yanhui Yang, Jie Lu, Ning Zhong, Lin Shi, Zhigang Qi, Yaou Liu and Defeng Wang and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Peipeng Liang

93 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peipeng Liang China 29 1.5k 733 380 376 305 97 2.4k
Vernon L. Towle United States 30 2.0k 1.4× 492 0.7× 333 0.9× 458 1.2× 155 0.5× 97 3.2k
Rick Hoge Canada 14 1.4k 1.0× 716 1.0× 166 0.4× 193 0.5× 293 1.0× 25 2.3k
AC Evans Canada 5 1.3k 0.9× 526 0.7× 198 0.5× 298 0.8× 176 0.6× 14 2.2k
Dahua Yu China 31 1.8k 1.3× 577 0.8× 82 0.2× 875 2.3× 627 2.1× 106 3.0k
Reza Momenan United States 33 1.3k 0.9× 432 0.6× 349 0.9× 316 0.8× 546 1.8× 104 3.7k
Tommaso Costa Italy 30 1.7k 1.2× 477 0.7× 117 0.3× 486 1.3× 469 1.5× 92 2.6k
Xiangyu Long China 22 3.7k 2.5× 1.8k 2.4× 527 1.4× 726 1.9× 409 1.3× 35 4.6k
Guofan Xu United States 18 1.3k 0.9× 686 0.9× 225 0.6× 719 1.9× 352 1.2× 31 3.0k
Laura Serra Italy 38 1.9k 1.3× 810 1.1× 431 1.1× 1.4k 3.8× 251 0.8× 116 3.8k

Countries citing papers authored by Peipeng Liang

Since Specialization
Citations

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

Fields of papers citing papers by Peipeng Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peipeng Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Peipeng Liang. A scholar is included among the top collaborators of Peipeng Liang 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 Peipeng Liang. Peipeng Liang 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.
Shao, Zhuhong, et al.. (2025). Audio-Visual Feature Disentanglement and Fusion Network for Automatic Depression Severity Prediction. IEEE Transactions on Affective Computing. 17(1). 190–203.
2.
Chen, Jianhui, et al.. (2024). Never‐Ending Learning for Explainable Brain Computing. Advanced Science. 11(24). e2307647–e2307647. 5 indexed citations
3.
Zhang, Jie, et al.. (2024). Is game-based therapy effective for treating cognitive deficits in adults with schizophrenia? Evidence from a randomized controlled trial. Translational Psychiatry. 14(1). 291–291. 2 indexed citations
4.
Liang, Peipeng, Yu Pan, Jia Jin, et al.. (2023). Reduced loss aversion in value-based decision-making and edge-centric functional connectivity in patients with internet gaming disorder. Journal of Behavioral Addictions. 12(2). 458–470. 8 indexed citations
5.
Liang, Peipeng, et al.. (2023). The influence of perceptual and semantic chunking on the neural mechanism of remote association. PsyCh Journal. 12(5). 618–627.
6.
Zha, Rujing, Zhengde Wei, Min Wang, et al.. (2023). Internet gaming disorder and tobacco use disorder share neural connectivity patterns between the subcortical and the motor network. Human Brain Mapping. 44(6). 2607–2619. 9 indexed citations
7.
Zha, Rujing, Ran Tao, Qingmei Kong, et al.. (2022). Impulse control differentiates Internet gaming disorder from non-disordered but heavy Internet gaming use: Evidence from multiple behavioral and multimodal neuroimaging data. Computers in Human Behavior. 130. 107184–107184. 17 indexed citations
8.
Zhao, Jing, et al.. (2022). Involvement of the dorsal and ventral attention networks in visual attention span. Human Brain Mapping. 43(6). 1941–1954. 21 indexed citations
9.
Liang, Peipeng, Vinod Goel, & Ke Jiang. (2022). Perceived danger associated with a property modulates cross category generalization. Cognitive Neurodynamics. 16(6). 1273–1281.
10.
Zhong, Ning, Jianhui Chen, Yang Yang, et al.. (2021). Multi-source brain computing with systematic fusion for smart health. Information Fusion. 75. 150–167. 16 indexed citations
11.
Tong, Qiqi, Hongjian He, Ting Gong, et al.. (2020). Multicenter dataset of multi-shell diffusion MRI in healthy traveling adults with identical settings. Scientific Data. 7(1). 157–157. 23 indexed citations
12.
Jia, Xiuqin, et al.. (2020). Involvement of the Right Dorsolateral Prefrontal Cortex in Numerical Rule Induction: A Transcranial Direct Current Stimulation Study. Frontiers in Human Neuroscience. 14. 566675–566675. 5 indexed citations
13.
Dong, Pei, Yanrong Guo, Yue Gao, et al.. (2019). Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning. IEEE Transactions on Neural Networks and Learning Systems. 31(8). 3061–3072. 9 indexed citations
14.
Liu, Jinduo, Junzhong Ji, Aidong Zhang, & Peipeng Liang. (2016). An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data. IEEE Conference Proceedings. 2016. 367. 4 indexed citations
15.
Ma, Yongjie, Peipeng Liang, Xiaohui Wang, et al.. (2016). Hyperbaric oxygen therapy for postoperative spinal dural arterio-venous fistula patients. Medicine. 95(37). e4555–e4555. 2 indexed citations
16.
Zu, Chen, Zhengxia Wang, Daoqiang Zhang, et al.. (2016). Robust multi-atlas label propagation by deep sparse representation. Pattern Recognition. 63. 511–517. 28 indexed citations
17.
Liang, Peipeng, Xiuqin Jia, Niels Taatgen, Jelmer P. Borst, & Kuncheng Li. (2016). Activity in the fronto-parietal network indicates numerical inductive reasoning beyond calculation: An fMRI study combined with a cognitive model. Scientific Reports. 6(1). 25976–25976. 14 indexed citations
18.
Liang, Peipeng, Lin Shi, Nan Chen, et al.. (2015). Construction of brain atlases based on a multi-center MRI dataset of 2020 Chinese adults. Scientific Reports. 5(1). 18216–18216. 61 indexed citations
19.
Jia, Xiuqin, Peipeng Liang, Lin Shi, Defeng Wang, & Kuncheng Li. (2014). Prefrontal and parietal activity is modulated by the rule complexity of inductive reasoning and can be predicted by a cognitive model. Neuropsychologia. 66. 67–74. 18 indexed citations
20.
Cui, Jiaxin, et al.. (2013). Neural correlates of quantity processing of numeral classifiers.. Neuropsychology. 27(5). 583–594. 13 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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