OpenAlex Citation Counts

OpenAlex Citations Logo

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 from EEG Signals Using Recurrent Neural Networks
M. Kalpana Chowdary, J. Anitha, D. Jude Hemanth
Electronics (2022) Vol. 11, Iss. 15, pp. 2387-2387
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Priyadarsini Samal, Mohammad Farukh Hashmi
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 23

Temporal relative transformer encoding cooperating with channel attention for EEG emotion analysis
Guoqin Peng, Kunyuan Zhao, Hao Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106537-106537
Closed Access | Times Cited: 38

A new approach to seasonal energy consumption forecasting using temporal convolutional networks
Abdul Khalique Shaikh, Amril Nazir, Nadia Khalique, et al.
Results in Engineering (2023) Vol. 19, pp. 101296-101296
Open Access | Times Cited: 35

Deep learning-based EEG emotion recognition: Current trends and future perspectives
Xiaohu Wang, Yongmei Ren, Ze Luo, et al.
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 33

Exploring the frontier: Transformer-based models in EEG signal analysis for brain-computer interfaces
Maximilian Achim Pfeffer, Sai Ho Ling, Johnny Kwok Wai Wong
Computers in Biology and Medicine (2024) Vol. 178, pp. 108705-108705
Open Access | Times Cited: 10

CMLP-Net: A convolution-multilayer perceptron network for EEG-based emotion recognition
K. Lu, Zhihao Gu, Fei Qi, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106620-106620
Closed Access | Times Cited: 8

A Novel Hybrid Deep Neural Network Classifier for EEG Emotional Brain Signals
M.A. Mousa, Abdelrahman T. Elgohr, Hatem A. Khater
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access | Times Cited: 6

Rainfall variability over multiple cities of India: analysis and forecasting using deep learning models
Jagabandhu Panda, Nistha Nagar, Asmita Mukherjee, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1105-1124
Closed Access | Times Cited: 4

An emotionally intelligent haptic system – An efficient solution for anxiety detection and mitigation
Swapneel Mishra, Saumya Seth, Shrishti Jain, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 260, pp. 108590-108590
Closed Access

Recognizing Emotions from Physiological Data in a Eeg Signals Using a Novel Deep Learning Technique
R. Nandakumar, S. Deivanayagi, S. P. Angeline Kirubha, et al.
Circuits Systems and Signal Processing (2025)
Closed Access

An optimised and secured bio medical signal transmission using CNN
Sunil Kumar K N, Shivashankar, Arjun Kumar GB
Australian Journal of Electrical & Electronics Engineering (2025), pp. 1-15
Closed Access

From Alzheimer’s Disease to Frontotemporal Dementia: Transfer Learning in EEG-Based Diagnosis of Dementia
Patrick Salmon, Jaymar Soriano
Lecture notes in computer science (2025), pp. 362-371
Closed Access

Electroencephalogram Signals for Detecting Confused Students in Online Education Platforms with Probability-Based Features
Talal Daghriri, Furqan Rustam, Wajdi Aljedaani, et al.
Electronics (2022) Vol. 11, Iss. 18, pp. 2855-2855
Open Access | Times Cited: 20

S-LSTM-ATT: a hybrid deep learning approach with optimized features for emotion recognition in electroencephalogram
Abgeena Abgeena, Shruti Garg
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Closed Access | Times Cited: 11

Fast reconstruction of EEG signal compression sensing based on deep learning
Xiuli Du, KuanYang Liang, Yana Lv, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4

Use of Differential Entropy for Automated Emotion Recognition in a Virtual Reality Environment with EEG Signals
Hakan Uyanık, Salih Taha Alperen Özçelik, Zeynep Bala Duranay, et al.
Diagnostics (2022) Vol. 12, Iss. 10, pp. 2508-2508
Open Access | Times Cited: 17

Emotion Detection Using EEG-Based Brain-Computer Interaction
Sima Das, Kitmo, Nimay Chandra Giri
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2023), pp. 67-76
Closed Access | Times Cited: 10

A review on semi-supervised learning for EEG-based emotion recognition
Sen Qiu, Yongtao Chen, Yulin Yang, et al.
Information Fusion (2023) Vol. 104, pp. 102190-102190
Closed Access | Times Cited: 9

A novel hybrid fast Fourier transform processor in 5G+ and bio medical applications
R. Priyadharsini, S. Sasipriya
Microprocessors and Microsystems (2024) Vol. 105, pp. 105022-105022
Closed Access | Times Cited: 3

EEG-based emotion recognition systems; comprehensive study
Hussein Ali Hamzah, Kasim K. Abdalla
Heliyon (2024) Vol. 10, Iss. 10, pp. e31485-e31485
Open Access | Times Cited: 3

Performance Analysis and Improvement of Machine Learning with Various Feature Selection Methods for EEG-Based Emotion Classification
Sherzod Abdumalikov, Jingeun Kim, Yourim Yoon
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10511-10511
Open Access | Times Cited: 3

M1M2: Deep-Learning-Based Real-Time Emotion Recognition from Neural Activity
Sumya Akter, Rumman Ahmed Prodhan, Tanmoy Sarkar Pias, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8467-8467
Open Access | Times Cited: 14

Detecting emotions through EEG signals based on modified convolutional fuzzy neural network
Nasim Ahmadzadeh Nobari Azar, Nadire Çavuş, Parvaneh Esmaılı, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare
S Sangeetha, Rajeswari Rajesh Immanuel, Sandeep Kumar Mathivanan, et al.
IEEE Access (2024) Vol. 12, pp. 114416-114434
Open Access | Times Cited: 2

Page 1 - Next Page

Scroll to top