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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:

An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals
Amna Waheed Awan, Syed Muhammad Usman, Shehzad Khalid, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9480-9480
Open Access | Times Cited: 11

Showing 11 citing articles:

Innovative Cascade and Machine Learning Models Based on fMRI Data for Accurate Emotion Prediction
Zong-Jie Tsai, Li-Yun Tseng, T. Lo, et al.
IFMBE proceedings (2025), pp. 477-486
Closed Access
Federated learning in Emotion Recognition Systems based on physiological signals for privacy preservation: a review
Neha Gahlan, Divyashikha Sethia
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
Tools in Marketing Research: Exploring Emotional Responses to Stimuli
Ahmed H. Alsharif, Ahmad Khraiwish
Scientific Annals of Economics and Business (2024) Vol. 71, Iss. 2, pp. 173-192
Open Access | Times Cited: 4
Diagnosis of Schizophrenia Using EEG Sensor Data: A Novel Approach with Automated Log Energy-Based Empirical Wavelet Reconstruction and Cepstral Features
Sumair Aziz, Muhammad Umar Khan, Khushbakht Iqtidar, et al.
Sensors (2024) Vol. 24, Iss. 20, pp. 6508-6508
Open Access | Times Cited: 4
Human Emotion Recognition Models Using Machine Learning Techniques
Aftab Alam, Shabana Urooj, Abdul Quaiyum Ansari
(2023), pp. 329-334
Closed Access | Times Cited: 5
Transformer-based ensemble deep learning model for EEG-based emotion recognition
Xiaopeng Si, Dong Huang, Yulin Sun, et al.
Brain Science Advances (2023) Vol. 9, Iss. 3, pp. 210-223
Open Access | Times Cited: 4
Depth classification algorithm of anesthesia based on model fusion
Miaorong Wang, Fugui Zhu, Changjun Hou, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 33, pp. 79589-79605
Closed Access | Times Cited: 1
Electroencephalography Studies on Marketing Stimuli: A Literature Review and Future Research Agenda
Ahmed H. Alsharif, Salmi Mohd Isa
International Journal of Consumer Studies (2024) Vol. 49, Iss. 1
Closed Access | Times Cited: 1
A Deep Learning Model for Classification of EEG Signals for Neuromarketing
Syed Muhammad Usman, Syed Mohsin Ali Shah, Onome Christopher Edo, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 3
ST-SHAP: A hierarchical and explainable attention network for emotional EEG representation learning and decoding
Minmin Miao, Liang Jin, Zhenzhen Sheng, et al.
Journal of Neuroscience Methods (2024) Vol. 414, pp. 110317-110317
Closed Access
Quantifying Emotions via ECG: A DWT-Driven Classification Framework
N Sindhu, S. Jerritta, Asish Nair
(2023), pp. 1689-1696
Closed Access
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