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:

Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke
Iqram Hussain, Se Jin Park
Brain Sciences (2021) Vol. 11, Iss. 7, pp. 900-900
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

A Review on Deep Learning Techniques for IoT Data
Kuruva Lakshmanna, Rajesh Kaluri, Nagaraja Gundluru, et al.
Electronics (2022) Vol. 11, Iss. 10, pp. 1604-1604
Open Access | Times Cited: 101

Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal
Mohammed Saidul Islam, Iqram Hussain, Md Mezbaur Rahman, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9859-9859
Open Access | Times Cited: 99

Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages
Iqram Hussain, Md Azam Hossain, Rafsan Jany, et al.
Sensors (2022) Vol. 22, Iss. 8, pp. 3079-3079
Open Access | Times Cited: 81

Integrative Approaches in Acute Ischemic Stroke: From Symptom Recognition to Future Innovations
Vicențiu Săceleanu, Corneliu Toader, Horia Pleș, et al.
Biomedicines (2023) Vol. 11, Iss. 10, pp. 2617-2617
Open Access | Times Cited: 47

Big-ECG: Cardiographic Predictive Cyber-Physical System for Stroke Management
Iqram Hussain, Se Jin Park
IEEE Access (2021) Vol. 9, pp. 123146-123164
Open Access | Times Cited: 88

Prediction of Myoelectric Biomarkers in Post-Stroke Gait
Iqram Hussain, Se Jin Park
Sensors (2021) Vol. 21, Iss. 16, pp. 5334-5334
Open Access | Times Cited: 64

Cellular and Molecular Targets for Non-Invasive, Non-Pharmacological Therapeutic/Rehabilitative Interventions in Acute Ischemic Stroke
Gelu Onose, Aurelian Anghelescu, Dan Blendea, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 2, pp. 907-907
Open Access | Times Cited: 58

A Dynamic Step-wise Tiny Encryption Algorithm with Fruit Fly Optimization for Quality of Service improvement in healthcare
Shrabani Sutradhar, Sunil Karforma, Rajesh Bose, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100177-100177
Open Access | Times Cited: 27

An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME
Iqram Hussain, Rafsan Jany, Richard Boyer, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7452-7452
Open Access | Times Cited: 27

Development of a novel machine learning-based approach for brain function assessment and integrated software solution
Jing Qu, Lizhen Cui, Leyi Wei, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102461-102461
Closed Access | Times Cited: 9

Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System
Iqram Hussain, Young Seo, Se Jin Park
Sensors (2021) Vol. 21, Iss. 21, pp. 6985-6985
Open Access | Times Cited: 52

EEG/fNIRS Based Workload Classification Using Functional Brain Connectivity and Machine Learning
Jun Cao, Enara Martin Garro, Yifan Zhao
Sensors (2022) Vol. 22, Iss. 19, pp. 7623-7623
Open Access | Times Cited: 32

Age-Related Alterations in EEG Network Connectivity in Healthy Aging
Hamad Javaid, Ekkasit Kumarnsit, Surapong Chatpun
Brain Sciences (2022) Vol. 12, Iss. 2, pp. 218-218
Open Access | Times Cited: 29

AI Applications in Adult Stroke Recovery and Rehabilitation: A Scoping Review Using AI
Isuru Senadheera, Prasad Hettiarachchi, Brendon S. Haslam, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6585-6585
Open Access | Times Cited: 7

An Interpretable Electrocardiogram-Based Model for Predicting Arrhythmia and Ischemia in Cardiovascular Disease
Tanjila Alam Sathi, Rafsan Jany, Razia Zaman Ela, et al.
Results in Engineering (2024) Vol. 24, pp. 103381-103381
Open Access | Times Cited: 7

Bayesian Optimization of Machine Learning Classification of Resting-State EEG Microstates in Schizophrenia: A Proof-of-Concept Preliminary Study Based on Secondary Analysis
Ahmadreza Keihani, Seyed Saman Sajadi, Mahsa Hasani, et al.
Brain Sciences (2022) Vol. 12, Iss. 11, pp. 1497-1497
Open Access | Times Cited: 23

Machine Learning Enabled P300 Classifier for Autism Spectrum Disorder Using Adaptive Signal Decomposition
Santhosh Peketi, Sanjay B. Dhok
Brain Sciences (2023) Vol. 13, Iss. 2, pp. 315-315
Open Access | Times Cited: 14

Effects of nature on restorative and cognitive benefits in indoor environment
Jee Heon Rhee, Brian Schermer, Gisung Han, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14

The Increase of Theta Power and Decrease of Alpha/Theta Ratio as a Manifestation of Cognitive Impairment in Parkinson’s Disease
Katarzyna Zawiślak-Fornagiel, Daniel Ledwoń, Monika Bugdol, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 4, pp. 1569-1569
Open Access | Times Cited: 13

MICAL: Mutual Information-Based CNN-Aided Learned Factor Graphs for Seizure Detection From EEG Signals
Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger, et al.
IEEE Access (2023) Vol. 11, pp. 23085-23096
Open Access | Times Cited: 13

Assessing the calming effects of a self-regulated inflatable vest: an evaluation based on Visual Analogue Scale and Electroencephalogram
Mohamad Izzur Maula, Ilham Yustar Afif, Muhammad Imam Ammarullah, et al.
Cogent Engineering (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5

Eeg Microstates and Balance Parameters for Stroke Discrimination: A Machine Learning Approach
Eloise de Oliveira Lima, José Maurício Ramos de Souza Neto, Francisco Enrique Vicente Castro, et al.
Brain Topography (2025) Vol. 38, Iss. 2
Closed Access

Deep Neural Network for EEG Signal-Based Subject-Independent Imaginary Mental Task Classification
Farheen Siddiqui, Awwab Mohammad, M. Afshar Alam, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 640-640
Open Access | Times Cited: 12

A machine learning and explainable artificial intelligence approach for predicting the efficacy of hematopoietic stem cell transplant in pediatric patients
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100170-100170
Open Access | Times Cited: 11

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