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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Modulation Effect of Acupuncture on Functional Brain Networks and Classification of Its Manipulation With EEG Signals
Haitao Yu, Xiang Li, Xinyu Lei, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 10, pp. 1973-1984
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Brain Functional Networks Based on Resting-State EEG Data for Major Depressive Disorder Analysis and Classification
Bingtao Zhang, Guanghui Yan, Zhifei Yang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 29, pp. 215-229
Open Access | Times Cited: 84
EEG-based emotion recognition in an immersive virtual reality environment: From local activity to brain network features
Minchang Yu, Shasha Xiao, Minlei Hua, et al.
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103349-103349
Closed Access | Times Cited: 60
Optimization of VGG16 utilizing the Arithmetic Optimization Algorithm for early detection of Alzheimer’s disease
N. Deepa, S. P. Chokkalingam
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103455-103455
Closed Access | Times Cited: 58
Alzheimer’s diseases diagnosis using fusion of high informative BiLSTM and CNN features of EEG signal
Maryam Imani
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105298-105298
Closed Access | Times Cited: 28
Identification of Alzheimer’s disease from central lobe EEG signals utilizing machine learning and residual neural network
Islam A. Fouad, Fatma El-Zahraa M. Labib
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105266-105266
Closed Access | Times Cited: 26
Multiscale entropy with electrocardiograph, electromyography, electroencephalography, and photoplethysmography signals in healthcare: A twelve-year systematic review
Hsien–Tsai Wu
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106124-106124
Closed Access | Times Cited: 8
The Use of Artificial Intelligence in Complementary and Alternative Medicine: A Systematic Scoping Review
Hongmin Chu, Seunghwan Moon, Jeongsu Park, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 32
EEGAlzheimer’sNet: Development of transformer-based attention long short term memory network for detecting Alzheimer disease using EEG signal
Dileep kumar Ravikanti, S. Saravanan
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105318-105318
Closed Access | Times Cited: 18
Statistical study of the EEG in motor tasks (real and imaginary)
Florêncio Mendes Oliveira Filho, Fernando Ferraz Ribeiro, Jovan Adrien Cruz, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 622, pp. 128802-128802
Closed Access | Times Cited: 16
Feature Extraction and Identification of Alzheimer’s Disease based on Latent Factor of Multi-Channel EEG
Kai Li, Jiang Wang, Shanshan Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1557-1567
Open Access | Times Cited: 40
Combined modulatory effects of excitatory interneurons and pre- and post-feedback inhibition microcircuits on absence seizures
Ye Zhou, Zhou Shu, Rui Zhu, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107587-107587
Closed Access
Temporal electroencephalography features unveiled via olfactory stimulus as biomarkers for mild Alzheimer’s disease
Bilal Orkan Olcay, Murat Pehlivan, Bilge Karaçalı
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107566-107566
Closed Access
A multi-scale information fusion approach for brain network construction in epileptic EEG analysis
Zhiwen Ren, Dingding Han
Physica A Statistical Mechanics and its Applications (2025), pp. 130415-130415
Closed Access
GCN-LSTM: A hybrid graph convolutional network model for schizophrenia classification
Bethany Gosala, A. Singh, Himanshu Tiwari, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107657-107657
Closed Access
TSMNet: A comprehensive network based on spatio-temporal representations for SSVEP classification
Liu Deng, Pengrui Li, Haokai Zhang, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107554-107554
Closed Access
Unlocking the Potential of EEG in Alzheimer's Disease Research: Current Status and Pathways to Precision Detection
Faisal Akbar, Imran Taj, Syed Muhammad Usman, et al.
Brain Research Bulletin (2025), pp. 111281-111281
Open Access
The potential associations between acupuncture sensation and brain functional network: a EEG study
Dongyang Shen, Banghua Yang, Jing Li, et al.
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
MFIFN: A multimodal feature interaction fusion network-based model for Alzheimer’s disease classification
Yibo Huang, Jie Liu, Zhiyong Li, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107857-107857
Closed Access
EEG motor imagery classification using dynamic connectivity patterns and convolutional autoencoder
Sayeh Mirzaei, Parisa Ghasemi
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102584-102584
Closed Access | Times Cited: 32
Computer-Aided Recognition Based on Decision-Level Multimodal Fusion for Depression
Bingtao Zhang, Hanshu Cai, Yubo Song, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 3466-3477
Closed Access | Times Cited: 21
Artificial intelligence-directed acupuncture: a review
Yulin Wang, Xiuming Shi, Thomas Efferth, et al.
Chinese Medicine (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 21
Epileptic seizures detection and the analysis of optimal seizure prediction horizon based on frequency and phase analysis
Ximiao Jiang, Xiaotong Liu, Youjun Liu, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 12
EEG complexity-based algorithm using Multiscale Fuzzy Entropy: Towards a detection of Alzheimer’s disease
Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, et al.
Measurement (2023) Vol. 225, pp. 114040-114040
Open Access | Times Cited: 11
Exploring the Potential of Acupuncture Practice Education Using Artificial Intelligence
Kyeong Han Kim, Hye In Jeong, Gyeong Seo Lee, et al.
Integrative Medicine Research (2025) Vol. 14, Iss. 1, pp. 101123-101123
Open Access
Unified multi-protocol MRI for Alzheimer’s disease diagnosis: Dual-decoder adversarial autoencoder and ensemble residual shrinkage attention network
Shiyao Li, Shukuan Lin, Yue Tu, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107660-107660
Closed Access
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