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:

Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier
Syed Fawad Hussain, Saeed Mian Qaisar
Expert Systems with Applications (2021) Vol. 191, pp. 116356-116356
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions
Navneet Vinod Melarkode, Kathiravan Srinivasan, Saeed Mian Qaisar, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1183-1183
Open Access | Times Cited: 67

Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques
Fatima Hassan, Syed Fawad Hussain, Saeed Mian Qaisar
Information Fusion (2022) Vol. 92, pp. 466-478
Closed Access | Times Cited: 56

An efficient feature selection and explainable classification method for EEG-based epileptic seizure detection
Ijaz Ahmad, Yao Chen, Lin Li, et al.
Journal of Information Security and Applications (2023) Vol. 80, pp. 103654-103654
Closed Access | Times Cited: 26

A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals
Ijaz Ahmad, Mingxing Zhu, Guanglin Li, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3236-3247
Closed Access | Times Cited: 10

Novel deep learning framework for detection of epileptic seizures using EEG signals
Sayani Mallick, Veeky Baths
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 9

Epileptic Seizure Detection Using a Hybrid 1D CNN-Machine Learning Approach from EEG Data
Fatima Hassan, Syed Fawad Hussain, Saeed Mian Qaisar
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 32

An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs
Abdul Haseeb Malik, Muhammad Zahid Khan, Saeed Mian Qaisar, et al.
IEEE Access (2023) Vol. 11, pp. 46691-46706
Open Access | Times Cited: 19

RIHANet: A Residual-based Inception with Hybrid-Attention Network for Seizure Detection using EEG signals
Qiaoli Zhou, Shun Zhang, Qiang Du, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108086-108086
Closed Access | Times Cited: 5

A novel one-vs-rest consensus learning method for crash severity prediction
Syed Fawad Hussain, Muhammad Ashraf
Expert Systems with Applications (2023) Vol. 228, pp. 120443-120443
Open Access | Times Cited: 12

Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review
Palak Handa, Lavanya Lavanya, Nidhi Goel, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open Access | Times Cited: 4

Distance-based one-class time-series classification approach using local cluster balance
Toshitaka Hayashi, Dalibor Cimr, Filip Studnička, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121201-121201
Closed Access | Times Cited: 11

EEG Datasets in Machine Learning Applications of Epilepsy Diagnosis and Seizure Detection
Palak Handa, Monika Mathur, Nidhi Goel
SN Computer Science (2023) Vol. 4, Iss. 5
Closed Access | Times Cited: 8

Electric Vehicle Performance Evaluation Using UDDS, NYCC and WLTP Drive Cycles
Lina Almatrafi, Salma Badaam, Saeed Mian Qaisar
(2023), pp. 103-108
Closed Access | Times Cited: 6

A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets
Palak Handa, Esha Gupta, Syed Aneesha Muskan, et al.
Expert Systems (2023) Vol. 40, Iss. 9
Closed Access | Times Cited: 6

Maximum Overlap Discrete Transform (MODT)—Gaussian Kernel Radial Network (GKRN) Model for Epileptic Seizure Detection from EEG Signals
Sandhya Kumari Golla, Suman Maloji
Journal of Advances in Information Technology (2023) Vol. 14, Iss. 5, pp. 883-891
Open Access | Times Cited: 6

OCSTN: One-class time-series classification approach using a signal transformation network into a goal signal
Toshitaka Hayashi, Dalibor Cimr, Filip Studnička, et al.
Information Sciences (2022) Vol. 614, pp. 71-86
Closed Access | Times Cited: 10

Review of EEG Signals Classification Using Machine Learning and Deep-Learning Techniques
Fatima Hassan, Syed Fawad Hussain
Springer eBooks (2023), pp. 159-183
Closed Access | Times Cited: 5

Attention-based deep convolutional neural network for classification of generalized and focal epileptic seizures
Taimur Shahzad Gill, Syed Sajjad Haider Zaidi, Muhammad Ayaz Shirazi
Epilepsy & Behavior (2024) Vol. 155, pp. 109732-109732
Closed Access | Times Cited: 1

EEG classification based on Grassmann manifold and matrix recovery
Xiaoyan Li, Yuanhua Qiao, Lijuan Duan, et al.
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105491-105491
Closed Access | Times Cited: 1

Überblick über die Klassifizierung von EEG-Signalen mit maschinellem Lernen und Deep-Learning-Techniken
Fatima Hassan, Syed Fawad Hussain
Springer eBooks (2024), pp. 177-204
Closed Access

Comparative Analysis of Electroencephalogram Signals Using Ensemble Methods for Epilepsy Detection
S. K. Niranjan, A. Samson Arun Raj, T. Jemima Jebaseeli, et al.
Advances in computational intelligence and robotics book series (2024), pp. 205-218
Closed Access

SeiAttentionNet: An Epilepsy Detection Model Using Attention-based Graph Convolutional Network
Yanhao Chen, Peng Zheng, Shamini Raja Kumaran
2022 7th International Conference on Computer and Communication Systems (ICCCS) (2024), pp. 1-6
Closed Access

Level-Crossing Acquisition and Deep Convolutional Neural Network based Classification of Arrhythmia for Mobile Healthcare
Syed Fawad Hussain, Saeed Mian Qaisar, Muhammad Sherjeel
Research Square (Research Square) (2024)
Open Access

EEG signal processing with deep learning for alcoholism detection
Hamid Mukhtar
Elsevier eBooks (2024), pp. 211-226
Closed Access

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