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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:

EEG Classification of Normal and Alcoholic by Deep Learning
Houchi Li, Lei Wu
Brain Sciences (2022) Vol. 12, Iss. 6, pp. 778-778
Open Access | Times Cited: 17

Showing 17 citing articles:

Detection of Alcoholic EEG signal using LASSO regression with metaheuristics algorithms based LSTM and enhanced artificial neural network classification algorithms
Gowri Shankar M, Kalaiyarasi Mani, Harikumar Rajaguru, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Detection of Brain Abnormalities in Parkinson’s Rats by Combining Deep Learning and Motion Tracking
Houchi Li, Quan He, Lei Wu
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1001-1007
Open Access | Times Cited: 10
EEG Signal Data Analysis for Association with Alcoholism
Saraswati Patil, Atharva Jayappa, Pranav Joshi, et al.
Lecture notes in electrical engineering (2025), pp. 529-538
Closed Access
Evaluating a deep learning model for EEG categorization of alcoholic and non-alcoholic subjects
Yujie Bai, Lin Yu
Journal of Ambient Intelligence and Humanized Computing (2025)
Closed Access
Multi-objective Evolutionary Design of Explainable EEG Classifier
Martin Hurta, Anna Ovesna, Vojtěch Mrázek, et al.
Lecture notes in computer science (2025), pp. 52-67
Closed Access
Detection of alcoholic EEG signals based on whole brain connectivity and convolution neural networks
Mingkan Shen, Peng Wen, Bo Song, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104242-104242
Closed Access | Times Cited: 14
Analysis of Alcoholic EEG Signal using Semantic Technologies
Amritha Gopakumar, Aathira Shine, T Anjali
2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT) (2023), pp. 171-175
Closed Access | Times Cited: 4
Classification EEG Signal Using Texture Analysis and Artificial Neural Network for Alcoholic Detection
Donny Setiawan Beu, Hilal Hamdi Simatupang, Achmad Rizal, et al.
Lecture notes in electrical engineering (2024), pp. 53-62
Closed Access | Times Cited: 1
Robust Prediction of Alcoholism from EEG Signals Using Auto-Encoder
M Aarthi, Raj Sanjay Kulkarni, Chandra Kiran K, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access | Times Cited: 1
A Combination of Deep Neural Network and Fuzzy Clustering for EEG-Based Alcoholism Diagnosis
Junhua Mei, Yanlin Yi
Journal of The Institution of Engineers (India) Series B (2024)
Closed Access
Internet of things based smart framework for the safe driving experience of two wheelers
Gunjan Chhabra, Keshav Kaushik, Pardeep Singh, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
EEG signal processing with deep learning for alcoholism detection
Hamid Mukhtar
Elsevier eBooks (2024), pp. 211-226
Closed Access
Comparing Machine Learning and Deep Learning Approaches to Diagnose Epilepsy Disease
Shahed Salehzehi, Elyas Irankhah, Maryam Sabet
Lecture notes in electrical engineering (2023), pp. 703-716
Closed Access
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
Alcoholism Identification From Variational Mode Decomposed EEG Signal Using Machine Learning Techniques
Gnana Deepika Paladugu, Hema Kumar Goru, Janu Mayusha Gundu, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access
An Explainable Deep Learning Approach for EEG- Induced Motor Imagery Classification
Biswarup Ganguly, Ahona Ghosh, Sharmistha Dey, et al.
2021 IEEE 18th India Council International Conference (INDICON) (2023), pp. 747-752
Closed Access
Machine Learning-based Alcoholism Detection Using Higuchi’s Fractal Dimension Features from EEG
Zahrul Jannat Peya, Bipasha Zaman, M. A. H. Akhand
(2022), pp. 376-379
Closed Access
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