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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:

Disrupted resting-state brain functional network in methamphetamine abusers: A brain source space study by EEG
Hassan Khajehpour, Bahador Makkiabadi, Hamed Ekhtiari, et al.
PLoS ONE (2019) Vol. 14, Iss. 12, pp. e0226249-e0226249
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Specific endophenotypes in EEG microstates for methamphetamine use disorder
Xiumei Gao, Yun-Hsuan Chen, Zhen Zeng, et al.
Frontiers in Psychiatry (2025) Vol. 15
Open Access | Times Cited: 1
Resting-state EEG, Substance use and Abstinence After Chronic use: A Systematic Review
Yang Liu, Yujie Chen, Gorka Fraga González, et al.
Clinical EEG and Neuroscience (2022) Vol. 53, Iss. 4, pp. 344-366
Open Access | Times Cited: 28
Analysing the behaviour change of brain regions of methamphetamine abusers using electroencephalogram signals: Hope to design a decision support system
Sepideh Zolfaghari, Yashar Sarbaz, Ali Reza Shafiee‐Kandjani
Addiction Biology (2024) Vol. 29, Iss. 2
Open Access | Times Cited: 6
Quantum physics analysis of electroencephalogram signals for drug users using distribution of quantum uncertainty products
Siew‐Cheok Ng, Anne Yee, Hua-Nong Ting, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107816-107816
Closed Access
Challenges and future trends in wearable closed-loop neuromodulation to efficiently treat methamphetamine addiction
Yun-Hsuan Chen, Jie Yang, Hemmings Wu, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 9
An electroencephalographic signature predicts craving for methamphetamine
Weiwen Tian, Di Zhao, Jinjun Ding, et al.
Cell Reports Medicine (2023) Vol. 5, Iss. 1, pp. 101347-101347
Open Access | Times Cited: 8
Characteristic changes in EEG spectral powers of patients with opioid-use disorder as compared with those with methamphetamine- and alcohol-use disorders
Christopher Minnerly, Ibrahim M. Shokry, W. W. K. To, et al.
PLoS ONE (2021) Vol. 16, Iss. 9, pp. e0248794-e0248794
Open Access | Times Cited: 16
Effects of Transcranial Direct Current Stimulation on Attentional Bias to Methamphetamine Cues and Its Association With EEG-Derived Functional Brain Network Topology
Hassan Khajehpour, Muhammad A. Parvaz, Mayadeh Kouti, et al.
The International Journal of Neuropsychopharmacology (2022) Vol. 25, Iss. 8, pp. 631-644
Open Access | Times Cited: 11
Evaluation of Drug Abuse on Brain Function using Power Spectrum Analysis of Electroencephalogram Signals in Methamphetamine, Opioid, Cannabis, and Multi-Drug Abuser Groups
Nasimeh Marvi, Javad Haddadnia, Mohammad Reza Fayyazı Bordbar
Journal of Biomedical Physics and Engineering (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 6
Identification of Methamphetamine Abusers Can Be Supported by EEG-Based Wavelet Transform and BiLSTM Networks
Hui Zhou, Jiaqi Zhang, Junfeng Gao, et al.
Brain Topography (2024) Vol. 37, Iss. 6, pp. 1217-1231
Open Access | Times Cited: 2
Enhanced brain network flexibility by physical exercise in female methamphetamine users
Xiaoying Qi, Yingying Wang, Yingzhi Lu, et al.
Cognitive Neurodynamics (2022) Vol. 18, Iss. 6, pp. 3209-3225
Closed Access | Times Cited: 8
Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments
Caroline L. Alves, Rubens Gisbert Cury, Kirstin Roster, et al.
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0277257-e0277257
Open Access | Times Cited: 7
An automated drug dependence detection system based on EEG
Nasimeh Marvi, Javad Haddadnia, Mohammad Reza Fayyazı Bordbar
Computers in Biology and Medicine (2023) Vol. 158, pp. 106853-106853
Closed Access | Times Cited: 3
Not Just a Pot: Visual Episodic Memory in Cannabis Users and Polydrug Cannabis Users: ROC and ERP Preliminary Investigation
Alicja Anna Binkowska, Natalia Jakubowska, Maciej Gaca, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 6
Theta and Alpha Oscillatory Activity During Working Memory Maintenance in Long-Term Cannabis Users: The Importance of the Polydrug Use Context
Alicja Anna Binkowska, Natalia Jakubowska, Klaudia Krystecka, et al.
Frontiers in Human Neuroscience (2021) Vol. 15
Open Access | Times Cited: 5
Modeling functional brain connections in methamphetamine and opioid abusers
Nasimeh Marvi, Javad Haddadnia, Mohammad Reza Fayyazı Bordbar
Medicine in Novel Technology and Devices (2024) Vol. 21, pp. 100287-100287
Open Access
A feature fusion analysis approach based on synchronous EEG-fNIRS signals: application in etomidate use disorder individuals
Tianxin Gao, Chao Chen, Guoxiang Liang, et al.
Biomedical Optics Express (2024) Vol. 16, Iss. 2, pp. 382-382
Open Access
Fusion model using resting neurophysiological data to help mass screening of methamphetamine use disorder
Chun‐Chuan Chen, Meng-Chang Tsai, Eric Hsiao‐Kuang Wu, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2024) Vol. 13, pp. 1-8
Open Access
Altered effective brain network topology in tinnitus: An EEG source connectivity analysis
Fahimeh Mohagheghian, Hassan Khajehpour, Nasser Samadzadehaghdam, et al.
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102331-102331
Closed Access | Times Cited: 3
Aberrant topology of white matter networks in patients with methamphetamine dependence and its application in support vector machine-based classification
Ping Cheng, Yadi Li, Gaoyan Wang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Non-Invasive Brain-Computer Interfaces: a New Perspective on the Assessment and Classification of Individuals with Methamphetamine Addiction
Gege Zhan, Haolong Su, Pengchao Wang, et al.
SN Comprehensive Clinical Medicine (2023) Vol. 5, Iss. 1
Closed Access | Times Cited: 1
Aberrant intrinsic functional brain topology in methamphetamine-dependent individuals after six-months of abstinence
Xiang Li, Jinyu Cong, Kunmeng Liu, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 11, pp. 19565-19583
Open Access | Times Cited: 1
Identifying Methamphetamine Abstainers With Convolutional Neural Networks and Short-Time Fourier Transform
Xin Lai, Qiuping Huang, Jiang Xin, et al.
Frontiers in Psychology (2021) Vol. 12
Open Access | Times Cited: 3
Characteristic changes in EEG spectral powers of patients with opioid-use disorder as compared with those with methamphetamine- and alcohol-use disorders
Christopher Minnerly, Ibrahim M. Shokry, W. W. K. To, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
Quantitative electroencephalogram, event-related potential, and neurofeedback in substance use disorders research and treatment
Estate M. Sokhadze, Rex Cannon, David Trudeau
Elsevier eBooks (2023), pp. 323-341
Closed Access
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