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:

One-dimensional convolutional neural network architecture for classification of mental tasks from electroencephalogram
Manali Saini, Udit Satija, Madhur Deo Upadhayay
Biomedical Signal Processing and Control (2022) Vol. 74, pp. 103494-103494
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals
Uğur İnce, Yunus Talu, Aleyna Duz, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 363-363
Open Access | Times Cited: 1

A Bimodal Emotion Recognition Approach through the Fusion of Electroencephalography and Facial Sequences
Farah Muhammad, Muhammad Hussain, Hatim Aboalsamh
Diagnostics (2023) Vol. 13, Iss. 5, pp. 977-977
Open Access | Times Cited: 19

A Novel Melspectrogram Snippet Representation Learning Framework for Severity Detection of Chronic Obstructive Pulmonary Diseases
Arka Roy, Udit Satija
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Open Access | Times Cited: 17

RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds
Arka Roy, Udit Satija
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 15

Recent Trends in EEG-Based Motor Imagery Signal Analysis and Recognition: A Comprehensive Review
Neha Sharma, Manoj Sharma, Amit Singhal, et al.
IEEE Access (2023) Vol. 11, pp. 80518-80542
Open Access | Times Cited: 15

Evaluating cognitive enhancement through TENS: An EEG classification framework using TQWT, PSR, and ETNet
Yingfeng Ouyang, Bingo Wing‐Kuen Ling
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107950-107950
Closed Access

Variational mode directed deep learning framework for breast lesion classification using ultrasound imaging
Manali Saini, Sara Hassanzadeh, Bushira Musa, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

DSCNN-CAU: Deep-Learning-Based Mental Activity Classification for IoT Implementation Toward Portable BCI
Manali Saini, Udit Satija, Madhur Deo Upadhayay
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 10, pp. 8944-8957
Closed Access | Times Cited: 16

LCNN: Lightweight CNN Architecture for Software Defect Feature Identification Using Explainable AI
Momotaz Begum, Mehedi Hasan Shuvo, Mostofa Kamal Nasir, et al.
IEEE Access (2024) Vol. 12, pp. 55744-55756
Open Access | Times Cited: 3

The Analysis of Teaching Quality Evaluation for the College Sports Dance by Convolutional Neural Network Model and Deep Learning
Shuqing Guo, Yang Xiaoming, Noor Hamzani Farizan, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36067-e36067
Open Access | Times Cited: 3

DMAeEDNet: Dense Multiplicative Attention enhanced Encoder Decoder Network for Ultrasound-based Automated Breast Lesion Segmentation
Manali Saini, Humayra Afrin, Setayesh Sotoudehnia Korani, et al.
IEEE Access (2024) Vol. 12, pp. 60541-60555
Open Access | Times Cited: 2

BiCurNet: Premovement EEG-Based Neural Decoder for Biceps Curl Trajectory Estimation
Manali Saini, Anant Jain, Suriya Prakash Muthukrishnan, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-11
Closed Access | Times Cited: 6

EEG signal-based classification of mental tasks using a one-dimensional ConvResT model
Gunda Manasa, Krashana D. Nirde, Suhas Gajre, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9053-9072
Closed Access | Times Cited: 2

Discriminatory Features Based on Wavelet Energy for Effective Analysis of Electroencephalogram During Mental Tasks
Manali Saini, Udit Satija, Madhur Deo Upadhayay
Circuits Systems and Signal Processing (2022) Vol. 41, Iss. 10, pp. 5827-5855
Closed Access | Times Cited: 10

EEG temporal information-based 1-D convolutional neural network for motor imagery classification
Chaoqin Chu, Qinkun Xiao, Leran Chang, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 29, pp. 45747-45767
Closed Access | Times Cited: 5

State-of-the-art mental tasks classification based on electroencephalograms: a review
Manish Kumar Saini, Udit Satija
Physiological Measurement (2023) Vol. 44, Iss. 6, pp. 06TR01-06TR01
Closed Access | Times Cited: 4

Brainwaves in the Cloud: Cognitive Workload Monitoring Using Deep Gated Neural Network and Industrial Internet of Things
Muhammad Abrar Afzal, Zhenyu Gu, Syed Umer Bukhari, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5830-5830
Open Access | Times Cited: 1

Systematic Review of Experimental Paradigms and Deep Neural Networks for Electroencephalography-based Cognitive Workload Detection
Vishnu KN, Cota Navin Gupta
Progress in Biomedical Engineering (2024) Vol. 6, Iss. 4, pp. 042004-042004
Open Access | Times Cited: 1

AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification
Arka Roy, Udit Satija
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023) Vol. 66, pp. 1-6
Closed Access | Times Cited: 3

Utilizing Graph Signal-Processing-Based Spectrum to Classify Mental Tasks With Multichannel EEG Signals
Ramnivas Sharma, Hemant Kumar Meena
IEEE Sensors Journal (2023) Vol. 24, Iss. 3, pp. 3952-3959
Closed Access | Times Cited: 2

Classification Mental Workload Levels from EEG Signals with 1D Convolutional Neural Network
Recep Baydemir, Fatma Lati̇foğlu, Fırat ORHANBULUCU
The European Journal of Research and Development (2022) Vol. 2, Iss. 4, pp. 13-23
Open Access | Times Cited: 3

An Ensemble Approach to Classify Mental Stress using EEG Based Time-Frequency and Non-Linear Features
Safkat Shahrier Swapnil, Md. Nuhi-Alamin, Kazi Mahmudur Rahman, et al.
(2024), pp. 1-6
Closed Access

Automatic detection and interpretable analysis of learners’ cognitive states based on electroencephalogram signals
Yue Li, Xiuling He, Peng Wang, et al.
Thinking Skills and Creativity (2024), pp. 101643-101643
Closed Access

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