Weigang Cui

2.3k total citations · 1 hit paper
37 papers, 1.5k citations indexed

About

Weigang Cui is a scholar working on Cognitive Neuroscience, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Weigang Cui has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 10 papers in Signal Processing and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Weigang Cui's work include EEG and Brain-Computer Interfaces (16 papers), Functional Brain Connectivity Studies (12 papers) and Blind Source Separation Techniques (10 papers). Weigang Cui is often cited by papers focused on EEG and Brain-Computer Interfaces (16 papers), Functional Brain Connectivity Studies (12 papers) and Blind Source Separation Techniques (10 papers). Weigang Cui collaborates with scholars based in China, United States and United Kingdom. Weigang Cui's co-authors include Yang Li, Yuzhu Guo, Tao Yu, Yanyan Yang, Xiuxiu Fu, Hongzhao Qi, Tianxiang Li, Meixin Liu, Lin Zhang and Xiangqin He and has published in prestigious journals such as Nature Methods, Annals of Neurology and Carbon.

In The Last Decade

Weigang Cui

37 papers receiving 1.5k citations

Hit Papers

CRISPR/Cas9 therapeutics: progress and prospects 2023 2026 2024 2025 2023 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. CRISPR/Cas9 therapeutics: progress and prospects
    2023 388 citations Tianxiang Li, Yanyan Yang et al. Signal Transduction and Targeted Therapy profile →

Peers

Weigang Cui
Chenyun Dai China
Toshiyuki Kondo Japan
Ze Wang China
Natsue Yoshimura Japan
Xingyu Wang China
Yuntao Wang China
D. N. Tibarewala India
Ke Zeng China
Jingxia Chen China
Lijuan Duan China
Chenyun Dai China
Weigang Cui
Citations per year, relative to Weigang Cui Weigang Cui (= 1×) peers Chenyun Dai

Countries citing papers authored by Weigang Cui

Since Specialization
Citations

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

Fields of papers citing papers by Weigang Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weigang Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Weigang Cui. A scholar is included among the top collaborators of Weigang Cui 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 Weigang Cui. Weigang Cui 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.
Ren, Jianxun, Youjia Zhang, Zhenyu Sun, et al.. (2025). DeepPrep: an accelerated, scalable and robust pipeline for neuroimaging preprocessing empowered by deep learning. Nature Methods. 22(3). 473–476. 6 indexed citations
2.
Chen, Yunna, et al.. (2025). Scalable blow spinning of hydrophilic ultrafine carbon nanofibers for high-efficiency solar evaporation. Carbon. 244. 120652–120652. 2 indexed citations
3.
Li, Yang, et al.. (2024). Diffusion Probabilistic Learning With Gate-Fusion Transformer and Edge-Frequency Attention for Retinal Vessel Segmentation. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 8 indexed citations
4.
Ren, Jianxun, Danyang Wang, Zhenyu Sun, et al.. (2024). SUGAR: Spherical ultrafast graph attention framework for cortical surface registration. Medical Image Analysis. 94. 103122–103122. 4 indexed citations
5.
6.
Cui, Weigang, Yifan Wang, Tao Yu, et al.. (2024). Deep Multiview Module Adaption Transfer Network for Subject-Specific EEG Recognition. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 2917–2930. 11 indexed citations
7.
Cui, Weigang, et al.. (2023). Personalized Functional Connectivity Based Spatio-Temporal Aggregated Attention Network for MCI Identification. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2257–2267. 18 indexed citations
8.
Wang, Yifan, Weigang Cui, Tao Yu, et al.. (2023). Dynamic Multi-Graph Convolution-Based Channel-Weighted Transformer Feature Fusion Network for Epileptic Seizure Prediction. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 4266–4277. 12 indexed citations
9.
Liu, Jingyu, Weigang Cui, Yipeng Chen, et al.. (2023). Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis. IEEE Transactions on Medical Imaging. 43(2). 860–873. 20 indexed citations
10.
Cui, Weigang, et al.. (2023). A Multi-Graph Cross-Attention-Based Region-Aware Feature Fusion Network Using Multi-Template for Brain Disorder Diagnosis. IEEE Transactions on Medical Imaging. 43(3). 1045–1059. 12 indexed citations
11.
Cui, Weigang, et al.. (2023). Dynamic multi-site graph convolutional network for autism spectrum disorder identification. Computers in Biology and Medicine. 157. 106749–106749. 13 indexed citations
12.
Li, Tianxiang, Yanyan Yang, Hongzhao Qi, et al.. (2023). CRISPR/Cas9 therapeutics: progress and prospects. Signal Transduction and Targeted Therapy. 8(1). 388 indexed citations breakdown →
13.
Guo, Yanjun, Weigang Cui, Louisa Dahmani, et al.. (2023). Personalized brain MRI revealed distinct functional and anatomical disruptions in Creutzfeldt‐Jakob disease and Alzheimer's disease. CNS Neuroscience & Therapeutics. 30(2). e14404–e14404. 1 indexed citations
14.
Dahmani, Louisa, Yan Bai, Meiling Li, et al.. (2023). Focused ultrasound thalamotomy for tremor treatment impacts the cerebello-thalamo-cortical network. npj Parkinson s Disease. 9(1). 90–90. 14 indexed citations
15.
Luo, Jie, Weigang Cui, Jingyu Liu, et al.. (2022). Visual Image Decoding of Brain Activities Using a Dual Attention Hierarchical Latent Generative Network With Multiscale Feature Fusion. IEEE Transactions on Cognitive and Developmental Systems. 15(2). 761–773. 4 indexed citations
16.
Li, Xiaoxin, Hongzhao Qi, Weigang Cui, et al.. (2022). Recent advances in targeted delivery of non-coding RNA-based therapeutics for atherosclerosis. Molecular Therapy. 30(10). 3118–3132. 38 indexed citations
17.
Li, Yang, Yü Liu, Weigang Cui, et al.. (2020). Epileptic Seizure Detection in EEG Signals Using a Unified Temporal-Spectral Squeeze-and-Excitation Network. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(4). 782–794. 208 indexed citations
18.
19.
Li, Yang, Weigang Cui, Yuzhu Guo, et al.. (2017). Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG. IEEE Transactions on Neural Networks and Learning Systems. 29(7). 1–13. 40 indexed citations
20.
Bacelo, Daniel E., et al.. (2015). QSPR study on refractive indices of solvents commonly used in polymer chemistry using flexible molecular descriptors. SAR and QSAR in environmental research. 26(6). 499–506. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chenyun Dai Breakdown of academic impact, for papers by Toshiyuki Kondo Breakdown of academic impact, for papers by Ze Wang Breakdown of academic impact, for papers by Natsue Yoshimura Breakdown of academic impact, for papers by Xingyu Wang Breakdown of academic impact, for papers by Yuntao Wang Breakdown of academic impact, for papers by D. N. Tibarewala Breakdown of academic impact, for papers by Ke Zeng Breakdown of academic impact, for papers by Jingxia Chen Breakdown of academic impact, for papers by Lijuan Duan
Rankless by CCL
2026