Open Access Helper

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:

Computer-aided classifying and characterizing of methamphetamine use disorder using resting-state EEG
Hassan Khajehpour, Fahimeh Mohagheghian, Hamed Ekhtiari, et al.
Cognitive Neurodynamics (2019) Vol. 13, Iss. 6, pp. 519-530
Open Access | Times Cited: 36

Showing 26-50 of 36 citing articles:

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
Rapid Detection Technology for Cocaine and Methamphetamine Acute Abuse based on EEG
Jie Xia, Hongwen Yuan, Jiadong Pan, et al.
Journal of Physics Conference Series (2024) Vol. 2809, Iss. 1, pp. 012058-012058
Open Access
Resting state EEG delta-beta amplitude-amplitude coupling: a neural predictor of cortisol response under stress
Xiaoyu Wang, Lin Li, Lei Zhan, et al.
Cognitive Neurodynamics (2024) Vol. 18, Iss. 6, pp. 3995-4007
Closed Access
FBSA-CNN: A convolutional neural network framework for EEG-based detection of non-acute methamphetamine use disorders
Yongcong Li, Banghua Yang, Yonghuai Zhang, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106985-106985
Closed 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
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
Assessment of Electroencephalographic Changes and Clinical Characteristics Among Patients with Substance-Related Disorder
Zainab Walaa Sahib Mubarek, Farah Nabil Abbas, Azher Nema Mohammed Al-Agam
Medical Journal of Babylon (2022) Vol. 19, Iss. 4, pp. 703-708
Open Access | Times Cited: 2
Identifying Methamphetamine Users through EEG Analysis: Harnessing hctsa and Machine Learning Approaches
Reza Meynaghizadeh-Zargar, Sareh Kazmi, Saeed Sadigh‐Eteghad, et al.
Research Square (Research Square) (2023)
Open Access
Multi-Domain Characterization and Rapid Detection Technology for Cocaine and Methamphetamine Acute Abuse based on EEG
Jie Xia, Jintao Wu, Jiadong Pan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Multi-Domain Characterization and Rapid Detection Technology for Cocaine and Methamphetamine Acute Abuse based on EEG
Jie Xia, Jintao Wu, Jiadong Pan, et al.
Research Square (Research Square) (2022)
Open Access
Evaluation of Brain Cortical Connectivity in Drug Abusers Using EEG Data
Behzad Yousefipour, Sepehr Shirani, Maryam Mohebbi, et al.
(2022), pp. 161-166
Closed Access
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