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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:

Emotion Recognition Using Electrodermal Activity Signals and Multiscale Deep Convolutional Neural Network
Nagarajan Ganapathy, Yedukondala Rao Veeranki, Himanshu Kumar, et al.
Journal of Medical Systems (2021) Vol. 45, Iss. 4
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Automated emotion recognition: Current trends and future perspectives
M. Maithri, U. Raghavendra, Anjan Gudigar, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 215, pp. 106646-106646
Closed Access | Times Cited: 118
Using Facial Micro-Expressions in Combination With EEG and Physiological Signals for Emotion Recognition
Nastaran Saffaryazdi, Syed Talal Wasim, Kuldeep Dileep, et al.
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 29
Survey on multimodal approaches to emotion recognition
Aruna Gladys A., V. Vetriselvi
Neurocomputing (2023) Vol. 556, pp. 126693-126693
Closed Access | Times Cited: 18
RETRACTED ARTICLE: A review of Deep Learning based methods for Affect Analysis using Physiological Signals
Divya Garg, Gyanendra K. Verma, Awadhesh Kumar Singh
Multimedia Tools and Applications (2023) Vol. 82, Iss. 17, pp. 26089-26134
Closed Access | Times Cited: 13
Optimal Electrodermal Activity Segment for Enhanced Emotion Recognition Using Spectrogram-Based Feature Extraction and Machine Learning
Sriram Kumar P, Jac Fredo Agastinose Ronickom
International Journal of Neural Systems (2024) Vol. 34, Iss. 05
Closed Access | Times Cited: 5
Deep Learning-Based Automated Emotion Recognition Using Multi modal Physiological Signals and Time-Frequency Methods
Sriram Kumar P, Praveen Kumar Govarthan, Abdul Aleem Shaik Gadda, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 5
One-dimensional convolutional neural networks for low/high arousal classification from electrodermal activity
Roberto Sánchez-Reolid, Francisco López de la Rosa, Marı́a Teresa López, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103203-103203
Open Access | Times Cited: 28
Compressed Sensing of Skin Conductance Level for IoT-based wearable sensors
Grazia Iadarola, Angelica Poli, Susanna Spinsante
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2022)
Closed Access | Times Cited: 22
ELECTRODERMAL ACTIVITY-BASED ANALYSIS OF EMOTION RECOGNITION USING TEMPORAL-MORPHOLOGICAL FEATURES AND MACHINE LEARNING ALGORITHMS
Sriram Kumar P, Praveen Kumar Govarthan, Nagarajan Ganapathy, et al.
Journal of Mechanics in Medicine and Biology (2023) Vol. 23, Iss. 06
Closed Access | Times Cited: 12
Emotion Estimation Using Noncontact Environmental Sensing with Machine and Deep Learning Models
Tsumugi Isogami, Nobuyoshi Komuro
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 721-721
Open Access
Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review
Roberto Sánchez-Reolid, Francisco López de la Rosa, Daniel Sánchez-Reolid, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8886-8886
Open Access | Times Cited: 18
Identifying autism using EEG: unleashing the power of feature selection and machine learning
Anamika Ranaut, Padmavati Khandnor, Trilok Chand
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 3, pp. 035013-035013
Closed Access | Times Cited: 3
Human Activity Recognition Algorithm with Physiological and Inertial Signals Fusion: Photoplethysmography, Electrodermal Activity, and Accelerometry
Justin Gilmore, Mona Nasseri
Sensors (2024) Vol. 24, Iss. 10, pp. 3005-3005
Open Access | Times Cited: 3
Emotion classification using electrocardiogram and machine learning: A study on the effect of windowing techniques
Praveen Kumar Govarthan, Sriram Kumar Peddapalli, Nagarajan Ganapathy, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124371-124371
Closed Access | Times Cited: 3
Emotion recognition method using millimetre wave radar based on deep learning
Xiaochao Dang, Zetong Chen, Zhanjun Hao
IET Radar Sonar & Navigation (2022) Vol. 16, Iss. 11, pp. 1796-1808
Open Access | Times Cited: 12
A Systematic Review of Sensing and Differentiating Dichotomous Emotional States Using Audio-Visual Stimuli
Yedukondala Rao Veeranki, Himanshu Kumar, Nagarajan Ganapathy, et al.
IEEE Access (2021) Vol. 9, pp. 124434-124451
Open Access | Times Cited: 15
Recognition of Human Inner Emotion Based on Two-Stage FCA-ReliefF Feature Optimization
Lizheng Pan, Shunchao Wang, Zeming Yin, et al.
Information Technology And Control (2022) Vol. 51, Iss. 1, pp. 32-47
Open Access | Times Cited: 11
Deep Learning Framework for Categorical Emotional States Assessment Using Electrodermal Activity Signals
Praveen Kumar Govarthan, Sriram Kumar P, Nagarajan Ganapathy, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 6
Analysis of Fluctuation Patterns in Emotional States Using Electrodermal Activity Signals and Improved Symbolic Aggregate Approximation
Yedukondala Rao Veeranki, Nagarajan Ganapathy, Ramakrishnan Swaminathan
Fluctuation and Noise Letters (2021) Vol. 21, Iss. 02
Closed Access | Times Cited: 12
An EEG-Based Computational Model for Decoding Emotional Intelligence, Personality, and Emotions
K Kannadasan, Jainendra Shukla, Sridevi Veerasingam, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-13
Closed Access | Times Cited: 4
Electrodermal Activity: Applications and Challenges
Md-Billal Hossain, Youngsun Kong, Hugo F. Posada–Quintero, et al.
Cambridge University Press eBooks (2024), pp. 475-496
Closed Access | Times Cited: 1
A universal emotion recognition method based on feature priority evaluation and classifier reinforcement
Lizheng Pan, Shunchao Wang, Yi Ding, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 13, Iss. 10, pp. 3225-3237
Closed Access | Times Cited: 5
Constructing Bodily Emotion Maps Based on High-Density Body Surface Potentials for Psychophysiological Computing
Wenbiao Hu, Gui‐Bin Bian, Linfei Huang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 5, pp. 2500-2511
Closed Access | Times Cited: 2
A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction
Manli Zhu, Qianhui Men, Edmond S. L. Ho, et al.
Journal of Medical Systems (2022) Vol. 46, Iss. 11
Open Access | Times Cited: 4
Energy Efficient Multi-Modal Stress Detection System with Dynamic Adaptive Spiking Neurons
Phani Pavan K, B S Ajay, Madhav Rao
Proceedings of the Great Lakes Symposium on VLSI 2022 (2024)
Closed Access
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