Yan Niu

1.7k total citations · 1 hit paper
67 papers, 1.2k citations indexed

About

Yan Niu is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Yan Niu has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Artificial Intelligence. Recurrent topics in Yan Niu's work include Functional Brain Connectivity Studies (37 papers), Neural dynamics and brain function (25 papers) and EEG and Brain-Computer Interfaces (16 papers). Yan Niu is often cited by papers focused on Functional Brain Connectivity Studies (37 papers), Neural dynamics and brain function (25 papers) and EEG and Brain-Computer Interfaces (16 papers). Yan Niu collaborates with scholars based in China, Japan and Singapore. Yan Niu's co-authors include Bin Wang, Jie Xiang, Rui Cao, Mengni Zhou, Hao Guo, Cheng Tian, Ting Hu, Dandan Li, Jie Sun and Jiayue Xue and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Yan Niu

59 papers receiving 1.2k citations

Hit Papers

Epileptic Seizure Detection Based on EEG Signals and CNN 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Epileptic Seizure Detection Based on EEG Signals and CNN
    2018 334 citations Mengni Zhou, Rui Cao et al. profile →

Peers

Yan Niu
Shreya Bhat India
Rui Cao China
Nikolaos Laskaris Greece
Mahboobeh Jafari Australia
Parisa Moridian Australia
Anahita Adeli United States
Ardalan Aarabi France
Mercedes Cabrerizo United States
Zhiguo Zhang China
Shreya Bhat India
Yan Niu
Citations per year, relative to Yan Niu Yan Niu (= 1×) peers Shreya Bhat

Countries citing papers authored by Yan Niu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Niu. A scholar is included among the top collaborators of Yan Niu 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 Yan Niu. Yan Niu 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.
Niu, Yan, et al.. (2026). Ensemble Entropy with Adaptive Deep Fusion for Short-Term Power Load Forecasting. Entropy. 28(2). 158–158.
2.
Li, Yanan, et al.. (2025). Synchronization-based graph spatio-temporal attention network for seizure prediction. Scientific Reports. 15(1). 4080–4080. 6 indexed citations
3.
Niu, Yan, Mengni Zhou, Jie Sun, et al.. (2024). Multivariate distance dispersion entropy: a complexity analysis method capturing intra- and inter-channel signal variations for multichannel data. Nonlinear Dynamics. 113(8). 8443–8459. 1 indexed citations
4.
Huang, Yin, Ying Li, Yuting Yuan, et al.. (2024). Beta-informativeness-diffusion multilayer graph embedding for brain network analysis. Frontiers in Neuroscience. 18. 1303741–1303741. 1 indexed citations
5.
Ding, Dawei, et al.. (2024). Fractional-order heterogeneous memristive Rulkov neuronal network and its medical image watermarking application. Chinese Physics B. 33(5). 50503–50503. 5 indexed citations
6.
Liu, Miaomiao, et al.. (2024). Anchoring temporal convolutional networks for epileptic seizure prediction. Journal of Neural Engineering. 21(6). 66008–66008. 3 indexed citations
7.
Niu, Yan, Jie Xiang, Jinglong Wu, et al.. (2024). Multi-Frequency Entropy for Quantifying Complex Dynamics and Its Application on EEG Data. Entropy. 26(9). 728–728. 3 indexed citations
8.
Xiang, Jie, Yan Niu, Liying Xu, et al.. (2024). Study of a precise treatment protocol for patients with consciousness disorders based on the brain network analysis of functional magnetic resonance imaging. Frontiers in Neuroscience. 18. 1443478–1443478. 1 indexed citations
9.
Ding, Da‐Wei, et al.. (2023). An n-dimensional modulo chaotic system with expected Lyapunov exponents and its application in image encryption. Chaos Solitons & Fractals. 174. 113841–113841. 53 indexed citations
10.
Huang, Jie, et al.. (2023). Automatic recognition of schizophrenia from brain-network features using graph convolutional neural network. Asian Journal of Psychiatry. 87. 103687–103687. 13 indexed citations
11.
Xiang, Jie, et al.. (2023). Abnormal Spatial and Temporal Overlap of Time-Varying Brain Functional Networks in Patients with Schizophrenia. Brain Sciences. 14(1). 40–40. 2 indexed citations
12.
13.
Niu, Yan, Jie Sun, Bin Wang, et al.. (2020). Comparing Test-Retest Reliability of Entropy Methods: Complexity Analysis of Resting-State fMRI. IEEE Access. 8. 124437–124450. 12 indexed citations
14.
Xiang, Jie, Xin Wang, Yuan Gao, et al.. (2020). Phosphodiesterase 4D Gene Modifies the Functional Network of Patients With Mild Cognitive Impairment and Alzheimer’s Disease. Frontiers in Genetics. 11. 890–890. 4 indexed citations
15.
Xiang, Jie, Jiayue Xue, Hao Guo, et al.. (2019). Graph-based network analysis of resting-state fMRI: test-retest reliability of binarized and weighted networks. Brain Imaging and Behavior. 14(5). 1361–1372. 18 indexed citations
16.
Wang, Bin, Peizhen Li, Dandan Li, et al.. (2018). Increased Functional Brain Network Efficiency During Audiovisual Temporal Asynchrony Integration Task in Aging. Frontiers in Aging Neuroscience. 10. 316–316. 21 indexed citations
17.
Li, Dandan, Ting Li, Yan Niu, et al.. (2018). Reduced hemispheric asymmetry of brain anatomical networks in attention deficit hyperactivity disorder. Brain Imaging and Behavior. 13(3). 669–684. 28 indexed citations
18.
Niu, Yan. (2014). Supervised prediction of drug-target interactions by ensemble learning. Journal of chemical and pharmaceutical research. 6(7). 6 indexed citations
19.
20.
Zhang, Wen, Juan Liu, Yan Niu, Lian Wang, & Xihao Hu. (2008). A Bayesian regression approach to the prediction of MHC-II binding affinity. Computer Methods and Programs in Biomedicine. 92(1). 1–7. 17 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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