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:

Artificial intelligence-based classification of schizophrenia: A high density electroencephalographic and support vector machine study
Sai Krishna Tikka, Bikesh Kumar Singh, SHaque Nizamie, et al.
Indian Journal of Psychiatry (2020) Vol. 62, Iss. 3, pp. 273-273
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Artificial intelligence and Psychiatry: An overview
Adwitiya Ray, Akansha Bhardwaj, Yogender Kumar Malik, et al.
Asian Journal of Psychiatry (2022) Vol. 70, pp. 103021-103021
Open Access | Times Cited: 79

Schizophrenia classification using machine learning on resting state EEG signal
Juan Ruiz de Miras, Antonio J. Ibáñez‐Molina, María Felipa Soriano, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104233-104233
Open Access | Times Cited: 71

EEG microstate features for schizophrenia classification
Kyungwon Kim, Nguyen Thanh Duc, Minsung Choi, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0251842-e0251842
Open Access | Times Cited: 76

Multiview EEG signal analysis for diagnosis of schizophrenia: an optimized deep learning approach
Sweta Bhadra, Chandan Jyoti Kumar, Dhruba K. Bhattacharyya
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 14

Automated accurate schizophrenia detection system using Collatz pattern technique with EEG signals
Mehmet Bayğın, Orhan Yaman, Türker Tuncer, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 102936-102936
Closed Access | Times Cited: 50

Quantum Machine-Based Decision Support System for the Detection of Schizophrenia from EEG Records
Gamzepelin Aksoy, Grégoire Cattan, Subrata Chakraborty, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 7

Systematic Review on Machine-Learning Algorithms Used in Wearable-Based eHealth Data Analysis
Aditi Site, Jari Nurmi, Elena Simona Lohan
IEEE Access (2021) Vol. 9, pp. 112221-112235
Open Access | Times Cited: 36

Schizophrenia: A Narrative Review of Etiopathogenetic, Diagnostic and Treatment Aspects
Laura Orsolini, Simone Pompili, Umberto Volpe
Journal of Clinical Medicine (2022) Vol. 11, Iss. 17, pp. 5040-5040
Open Access | Times Cited: 24

Bayesian Optimization of Machine Learning Classification of Resting-State EEG Microstates in Schizophrenia: A Proof-of-Concept Preliminary Study Based on Secondary Analysis
Ahmadreza Keihani, Seyed Saman Sajadi, Mahsa Hasani, et al.
Brain Sciences (2022) Vol. 12, Iss. 11, pp. 1497-1497
Open Access | Times Cited: 23

Effects of Microstate Dynamic Brain Network Disruption in Different Stages of Schizophrenia
Tianyi Yan, Gongshu Wang, Tiantian Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2688-2697
Open Access | Times Cited: 13

An integrated machine learning framework for a discriminative analysis of schizophrenia using multi-biological data
Peng-fei Ke, Dong-sheng Xiong, Jia-hui Li, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 28

Machine learning approaches for fine-grained symptom estimation in schizophrenia: A comprehensive review
Niki Maria Foteinopoulou, Ioannis Patras
Artificial Intelligence in Medicine (2025), pp. 103129-103129
Closed Access

Application of local configuration pattern for automated detection of schizophrenia with electroencephalogram signals
Joel En WeiKoh, V. Rajinikanth, Jahmunah Vicnesh, et al.
Expert Systems (2022) Vol. 41, Iss. 5
Closed Access | Times Cited: 16

Schizophrenia Detection using Interconnected Graph Based Features from EEG Signals
Ramnivas Sharma, Hemant Kumar Meena
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 3

Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment
Maria Ferrara, Giorgia Franchini, Melissa Funaro, et al.
Current Psychiatry Reports (2022) Vol. 24, Iss. 12, pp. 925-936
Open Access | Times Cited: 15

Convolutional neural network propagation on electroencephalographic scalograms for detection of schizophrenia
Αλεξάνδρα Κορδά, Errikos-Chaim Ventouras, Pantelis A. Asvestas, et al.
Clinical Neurophysiology (2022) Vol. 139, pp. 90-105
Closed Access | Times Cited: 14

Optimized adaptive neuro-fuzzy inference system based on hybrid grey wolf-bat algorithm for schizophrenia recognition from EEG signals
Kishore Balasubramanian, K. C. Ramya, K. Gayathri Devi
Cognitive Neurodynamics (2022) Vol. 17, Iss. 1, pp. 133-151
Open Access | Times Cited: 13

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, et al.
IET Networks (2022)
Open Access | Times Cited: 13

A Systematic Literature Review on Support Vector Machines Applied to Classification
Miguel Ángel Cano Lengua, Erik Alex Papa Quiroz
(2020), pp. 1-4
Closed Access | Times Cited: 19

Application of noninvasive magnetomyography in labour imminency prediction for term and preterm pregnancies and ethnicity specific labour prediction
Ejay Nsugbe, Olusayo Obajemu, Oluwarotimi Williams Samuel, et al.
Machine Learning with Applications (2021) Vol. 5, pp. 100066-100066
Open Access | Times Cited: 15

Multi-class classification model for psychiatric disorder discrimination
İlkim Ecem Emre, Çiğdem Erol, Cumhur Taş, et al.
International Journal of Medical Informatics (2022) Vol. 170, pp. 104926-104926
Closed Access | Times Cited: 10

Artificial intelligence system for verification of schizophrenia via theta-EEG rhythm
Pankaj Kumar Sahu
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104485-104485
Closed Access | Times Cited: 9

Multi-modal EEG NEO-FFI with Trained Attention Layer (MENTAL) for mental disorder prediction
Garrett Greiner, Yu Zhang
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1

Diagnosis of Schizophrenia Based on the Data of Various Modalities: Biomarkers and Machine Learning Techniques (Review)
M.G. Sharaev, I.K. Malashenkova, A.V. Maslennikova, et al.
Sovremennye tehnologii v medicine (2022) Vol. 14, Iss. 5, pp. 53-53
Open Access | Times Cited: 7

Assisting schizophrenia diagnosis using clinical electroencephalography and interpretable graph neural networks: a real-world and cross-site study
Haiteng Jiang, Peiyin Chen, Zhaohong Sun, et al.
Neuropsychopharmacology (2023) Vol. 48, Iss. 13, pp. 1920-1930
Closed Access | Times Cited: 3

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