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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:

Severity Assessment of Social Anxiety Disorder Using Deep Learning Models on Brain Effective Connectivity
Abdulhakim Al‐Ezzi, Norashikin Yahya, Nidal Kamel, et al.
IEEE Access (2021) Vol. 9, pp. 86899-86913
Open Access | Times Cited: 25

Showing 25 citing articles:

Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features
Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7710-7710
Open Access | Times Cited: 58
Machine Learning for Anxiety Detection Using Biosignals: A Review
Lou Ancillon, Mohamed Elgendi, Carlo Menon
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1794-1794
Open Access | Times Cited: 42
Brain imaging-to-graph generation using adversarial hierarchical diffusion models for MCI causality analysis
Qiankun Zuo, Hao Tian, Yudong Zhang, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109898-109898
Open Access | Times Cited: 1
Aberrated Multidimensional EEG Characteristics in Patients with Generalized Anxiety Disorder: A Machine-Learning Based Analysis Framework
Zhongxia Shen, Gang Li, Jiaqi Fang, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5420-5420
Open Access | Times Cited: 33
A deep learning approach for mental health quality prediction using functional network connectivity and assessment data
Meenu Ajith, Dawn M. Aycock, Erin B. Tone, et al.
Brain Imaging and Behavior (2024) Vol. 18, Iss. 3, pp. 630-645
Closed Access | Times Cited: 6
EEG-based classification of individuals with neuropsychiatric disorders using deep neural networks: A systematic review of current status and future directions
Mohsen Parsa, Habib Yousefi Rad, Hadi Vaezi, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107683-107683
Closed Access | Times Cited: 15
Complexity Analysis of EEG in Patients With Social Anxiety Disorder Using Fuzzy Entropy and Machine Learning Techniques
Abdulhakim Al‐Ezzi, Amal A. Al-Shargabi, Fares Al-Shargie, et al.
IEEE Access (2022) Vol. 10, pp. 39926-39938
Open Access | Times Cited: 20
Machine learning for the detection of social anxiety disorder using effective connectivity and graph theory measures
Abdulhakim Al‐Ezzi, Nidal Kamel, Amal A. Al-Shargabi, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 12
Diff-Sa: A Diffusion-Based Deep Learning Framework for Sa Diagnosis Using Task-State Eeg
W. Y. Sun, Guanlai Xiao, Xiaolei Xu, et al.
(2025)
Closed Access
Anxiety disorder identification with biomarker detection through subspace-enhanced hypergraph neural network
Yibin Tang, Jikang Ding, Ying Chen, et al.
Neural Networks (2025) Vol. 187, pp. 107293-107293
Closed Access
TAGformer: A Multimodal Physiological Signals Fusion Network for Pilot Stress Recognition
Shaofan Wang, Yuangan Li, Tao Zhang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 20842-20854
Closed Access | Times Cited: 3
Social anxiety prediction based on ERP features: A deep learning approach
Xiaodong Tian, Lingkai Zhu, Mingxian Zhang, et al.
Journal of Affective Disorders (2024) Vol. 367, pp. 545-553
Closed Access | Times Cited: 3
Efficient classification model for anxiety detection in autism using intelligent search optimization based on Deep CNN
Amruta Tushar Umrani, Pon Harshavardhanan
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 62607-62636
Closed Access | Times Cited: 2
Anxiety Prediction and Analysis- A Machine Learning Based Approach
Sheikh Afaan Farooq, Ojasri Konda, Anshul Kunwar, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 4
Integrating EEG and Ensemble Learning for Accurate Grading and Quantification of Generalized Anxiety Disorder: A Novel Diagnostic Approach
Xiaodong Luo, Bin Zhou, Jiaqi Fang, et al.
Diagnostics (2024) Vol. 14, Iss. 11, pp. 1122-1122
Open Access | Times Cited: 1
Enhancing generalized anxiety disorder diagnosis precision: MSTCNN model utilizing high-frequency EEG signals
Wei Liu, Gang Li, Ziyi Huang, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 3
Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis
Michael Briden, Narges Norouzi
Biological Cybernetics (2023) Vol. 117, Iss. 4-5, pp. 363-372
Open Access | Times Cited: 2
Enhancing Anxiety Diagnosis through ADABOOST-Assisted Decision-Level Fusion
Seyedeh sara Hosseini, Keivan Maghooli
Research Square (Research Square) (2024)
Open Access
Anxiety brain topographic maps and its classification using quantitative electroencephalography
Ching Wei Ong, Humaira Nisar, Danyal Mahmood
Elsevier eBooks (2024), pp. 217-238
Closed Access
Detecting Depression: A Holistic Approach through Questionnaires with Facial Expression Recognition
Anisha Routray, Anjana Mishra, Madhusmita Sahoo, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2024), pp. 1-6
Closed Access
Survey on Depression Detection Using Machine Learning Techniques⋆
Kritika Shrivastava, Arunima Jaiswal, Nitin Sachdeva
Studies in systems, decision and control (2024), pp. 177-187
Closed Access
A Deep Learning Approach for Mental Health Quality Prediction Using Functional Network Connectivity and Assessment Data
Meenu Ajith, Dawn M. Aycock, Erin B. Tone, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Deep Learning in Mental Health: An In-Depth Analysis of Prediction Systems
Poonam Kaushik, Khushboo Bansal, Yogesh Kumar
(2023), pp. 364-369
Closed Access | Times Cited: 1
SVD-Based Feature Extraction Technique for The Improvement of Effective Connectivity Detection
Abdulhakim Al‐Ezzi, Nidal Kamel, Alaa Al-Shargabi, et al.
(2021)
Closed Access | Times Cited: 2
Towards Metacognition: Subject-Aware Contrastive Deep Fusion Representation Learning for EEG Analysis
Michael Briden, Narges Norouzi
Research Square (Research Square) (2022)
Open Access
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