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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:

An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals
Smith K. Khare, U. Rajendra Acharya
Computers in Biology and Medicine (2023) Vol. 155, pp. 106676-106676
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends
Giovanni Chiarion, Laura Sparacino, Yuri Antonacci, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 372-372
Open Access | Times Cited: 70
Early attention-deficit/hyperactivity disorder (ADHD) with NeuroDCT-ICA and rhinofish optimization (RFO) algorithm based optimized ADHD-AttentionNet
Ahmed Alhussen, Ahmed I. Alutaibi, Sunil Kumar Sharma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Exploring Machine Learning Models for Soil Nutrient Properties Prediction: A Systematic Review
Olusegun Folorunso, Oluwafolake Ojo, Mutiu Abolanle Busari, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 2, pp. 113-113
Open Access | Times Cited: 40
Application of Artificial Intelligence Techniques for Brain–Computer Interface in Mental Fatigue Detection: A Systematic Review (2011–2022)
Hamwira Yaacob, Farhad Hossain, Sharunizam Shari, et al.
IEEE Access (2023) Vol. 11, pp. 74736-74758
Open Access | Times Cited: 34
Deep neural network technique for automated detection of ADHD and CD using ECG signal
Hui Wen Loh, Chui Ping Ooi, Shu Lih Oh, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 241, pp. 107775-107775
Open Access | Times Cited: 30
Decoding movement kinematics from EEG using an interpretable convolutional neural network
Davide Borra, Valeria Mondini, Elisa Magosso, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107323-107323
Open Access | Times Cited: 26
ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signals
El‐Sayed A. El‐Dahshan, Mahmoud M. Bassiouni, Smith K. Khare, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122388-122388
Closed Access | Times Cited: 24
Fuzzy inference system with interpretable fuzzy rules: Advancing explainable artificial intelligence for disease diagnosis—A comprehensive review
Jin Cao, Ta Zhou, Shaohua Zhi, et al.
Information Sciences (2024) Vol. 662, pp. 120212-120212
Open Access | Times Cited: 16
Explaining electroencephalogram channel and subband sensitivity for alcoholism detection
Sandeep B. Sangle, Pramod Kachare, Digambar Puri, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109826-109826
Open Access | Times Cited: 1
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 35-79
Closed Access | Times Cited: 19
ADHD-AID: Aiding Tool for Detecting Children’s Attention Deficit Hyperactivity Disorder via EEG-Based Multi-Resolution Analysis and Feature Selection
Omneya Attallah
Biomimetics (2024) Vol. 9, Iss. 3, pp. 188-188
Open Access | Times Cited: 8
A novel approach to identify the brain regions that best classify ADHD by means of EEG and deep learning
Javier Sanchís, Sandra García-Ponsoda, Miguel A. Teruel, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26028-e26028
Open Access | Times Cited: 7
Metaheuristic optimized time–frequency features for enhancing Alzheimer’s disease identification
Digambar Puri, Pramod Kachare, Sanjay L. Nalbalwar
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106244-106244
Closed Access | Times Cited: 7
Explainable Artificial Intelligence for Cotton Yield Prediction With Multisource Data
Mehmet Furkan Çelik, Mustafa Serkan Ișık, Gülşen Taşkın, et al.
IEEE Geoscience and Remote Sensing Letters (2023) Vol. 20, pp. 1-5
Closed Access | Times Cited: 14
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection
Smith K. Khare, Victoria Blanes‐Vidal, Berit Bargum Booth, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 5
ECGPsychNet: an optimized hybrid ensemble model for automatic detection of psychiatric disorders using ECG signals
Smith K. Khare, Vikram M. Gadre, U. Rajendra Acharya
Physiological Measurement (2023) Vol. 44, Iss. 11, pp. 115004-115004
Open Access | Times Cited: 11
Fractal dimensions and machine learning for detection of Parkinson’s disease in resting-state electroencephalography
Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8257-8280
Open Access | Times Cited: 4
The utility of wearable electroencephalography combined with behavioral measures to establish a practical multi-domain model for facilitating the diagnosis of young children with attention-deficit/hyperactivity disorder
I‐Chun Chen, Che‐Lun Chang, Menghan Chang, et al.
Journal of Neurodevelopmental Disorders (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 4
Urban Flood Depth Prediction and Visualization Based on the XGBoost-SHAP Model
Yuan Liu, Hongfa Wang, Xinjian Guan, et al.
Water Resources Management (2024)
Closed Access | Times Cited: 4
Artificial intelligence in plant disease mitigation and nutrient acquisition
Knight Nthebere, M. Bhargava Narasimha Yadav, Gangadhara Gowda, et al.
Methods in microbiology (2025)
Closed Access
Artificial intelligence in ADHD: a global perspective on research hotspots, trends and clinical applications
Xiaofang Wang, Qianfang Jia, L. Liang, et al.
Frontiers in Human Neuroscience (2025) Vol. 19
Open Access
Automated detection of depression using wavelet scattering networks
Nishant Sharma, Manish Sharma, Jimit Tailor, et al.
Medical Engineering & Physics (2024) Vol. 124, pp. 104107-104107
Closed Access | Times Cited: 3
Baby cry recognition based on WOA-VMD and an improved Dempster–Shafer evidence theory
Ke Zhang, Hua-Nong Ting, Yao Mun Choo
Computer Methods and Programs in Biomedicine (2024) Vol. 245, pp. 108043-108043
Closed Access | Times Cited: 3
Video-based beat-by-beat blood pressure monitoring via transfer deep-learning
Osama A. Omer, Mostafa Salah, Loay Hassan, et al.
Applied Intelligence (2024) Vol. 54, Iss. 6, pp. 4564-4584
Open Access | Times Cited: 3
The Effectiveness of Multimodal Intervention (Mother-Child-Teacher) on the Executive Functions (Self-Motivation and Self-Regulation of Emotions) of Children with Attention Deficit/Hyperactivity Disorder
Mahdieh Sabahi, Mahshid Tajrobehkar, A. Tavakoli, et al.
Nursing and Midwifery Journal (2025) Vol. 22, Iss. 10, pp. 867-876
Closed Access
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