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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 insight into diagnosis of depression using machine learning techniques: a systematic review
Sweta Bhadra, Chandan Jyoti Kumar
Current Medical Research and Opinion (2022) Vol. 38, Iss. 5, pp. 749-771
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer’s disease
Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakarabarti, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 45
Classification of Alzheimer’s disease using MRI data based on Deep Learning Techniques
Shaymaa E. Sorour, Amr A. Abd El-Mageed, Khalied M. Albarrak, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101940-101940
Open Access | Times Cited: 36
Landslide identification using machine learning techniques: Review, motivation, and future prospects
S. Sreelakshmi, S. S. Vinod Chandra, E. Shaji
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2063-2090
Closed Access | Times Cited: 39
A comparative assessment of most widely used machine learning classifiers for analysing and classifying autism spectrum disorder in toddlers and adolescents
Jyotismita Talukdar, Deba Kanta Gogoi, Thipendra P. Singh
Healthcare Analytics (2023) Vol. 3, pp. 100178-100178
Open Access | Times Cited: 22
Detection of depressive comments on social media using RNN, LSTM, and random forest: comparison and optimization
Manuel Kanahuati-Ceballos, Leonardo J. Valdivia
Social Network Analysis and Mining (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 8
Semantic segmentation model for land cover classification from satellite images in Gambella National Park, Ethiopia
Mulugeta Yikuno Lilay, Gizatie Desalegn Taye
SN Applied Sciences (2023) Vol. 5, Iss. 3
Open Access | Times Cited: 19
Identification of rice leaf diseases and deficiency disorders using a novel DeepBatch technique
Mayuri Sharma, Chandan Jyoti Kumar, Jyotismita Talukdar, et al.
Open Life Sciences (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 17
Machine learning (ML) techniques to predict breast cancer in imbalanced datasets: a systematic review
Arman Ghavidel, Pilar Pazos
Journal of Cancer Survivorship (2023)
Closed Access | Times Cited: 16
Enhancing the efficacy of depression detection system using optimal feature selection from EHR
Sweta Bhadra, Chandan Jyoti Kumar
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 2, pp. 222-236
Closed Access | Times Cited: 15
An Overview of Ethereum Based Approaches for Landslide Prediction
Chinchu Paulose, Ansiya P Sham, Anu Krishna P M, et al.
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) Vol. 09, Iss. 01, pp. 1-9
Closed Access
Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning
Damir Mulc, Jakša Vukojević, Eda Jovičić, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 409-409
Open Access
Artificial Intelligence in Diagnosing Depression Through Behavioural Cues: A Diagnostic Accuracy Systematic Review and Meta‐Analysis
Yong Shian Goh, Qi Rui See, Nopporn Vongsirimas, et al.
Journal of Clinical Nursing (2025)
Closed Access
Intelligent Algorithm for Seizure Alignment Using EEG Clustering with Special Reference to Discrete Wavelet Transform Theory
Pankaj Kalita, Arup Sarmah, Chayanika Devi, et al.
(2025), pp. 251-275
Closed Access
Early Detection of Mental Health Condition and Advising System Using Artificial Intelligence
Minakshi Gogoi
Studies in computational intelligence (2025), pp. 233-242
Closed Access
Improving Remote Patient Monitoring and Care Using Machine Learning
Sangeeta Borkakoty, Atowar Ul Islam, K. Bora
Studies in computational intelligence (2025), pp. 179-193
Closed Access
Automated Detection of Oral Cancer Through Deep Learning: A Histopathological Approach
Rupali M. Bora
Studies in computational intelligence (2025), pp. 145-161
Closed Access
Detecting Depression Using Textual Data from Social Media
Bapynshngainlang Nongkynrih, Hemashree Bordoloi, G. C. Nandi, et al.
Studies in computational intelligence (2025), pp. 195-206
Closed Access
Speech features-based Parkinson’s disease classification using combined SMOTE-ENN and binary machine learning
Samiappan Dhanalakshmi, Sudeshna Das, Ramalingam Senthil
Health and Technology (2024) Vol. 14, Iss. 2, pp. 393-406
Closed Access | Times Cited: 4
Improving speech depression detection using transfer learning with wav2vec 2.0 in low-resource environments
Xu Zhang, Xiangcheng Zhang, Weisi Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Depressformer: Leveraging Video Swin Transformer and fine-grained local features for depression scale estimation
Lang He, Zheng Li, Prayag Tiwari, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106490-106490
Closed Access | Times Cited: 3
Brain tumor detection and classification in MRI using hybrid ViT and GRU model with explainable AI in Southern Bangladesh
Md. Mahfuz Ahmed, Md. Maruf Hossain, Md. Rakibul Islam, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement
Vijay Ravi, Jinhan Wang, Jonathan Flint, et al.
Computer Speech & Language (2023) Vol. 86, pp. 101605-101605
Open Access | Times Cited: 8
A systematic literature review and analysis of deep learning algorithms in mental disorders
Goli Arji, Leila Erfannia, Samira alirezaei, et al.
Informatics in Medicine Unlocked (2023) Vol. 40, pp. 101284-101284
Open Access | Times Cited: 7
LSCAformer: Long and short-term cross-attention-aware transformer for depression recognition from video sequences
Lang He, Zheng Li, Prayag Tiwari, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106767-106767
Closed Access | Times Cited: 2
Enhancing disease region segmentation in rice leaves using modified deep learning architectures
Mayuri Sharma, Chandan Jyoti Kumar, Thipendra P. Singh, et al.
Archives of Phytopathology and Plant Protection (2023) Vol. 56, Iss. 20, pp. 1555-1580
Closed Access | Times Cited: 6
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