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:

Towards artificial intelligence in mental health: a comprehensive survey on the detection of schizophrenia
Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore
Multimedia Tools and Applications (2022) Vol. 82, Iss. 13, pp. 20343-20405
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Deep Learning Models for Diagnosis of Schizophrenia Using EEG Signals: Emerging Trends, Challenges, and Prospects
Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 4, pp. 2345-2384
Closed Access | Times Cited: 16

Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia
Caroline L. Alves, Thaise G. L. de O. Toutain, Joel Augusto Moura Porto, et al.
Journal of Neural Engineering (2023) Vol. 20, Iss. 5, pp. 056025-056025
Open Access | Times Cited: 13

Analysis of MRI image data for Alzheimer disease detection using deep learning techniques
Nilanjana Pradhan, Shrdhha Sagar, Ajay Shankar Singh
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 17729-17752
Closed Access | Times Cited: 10

Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model
Afshin Shoeibi, Mahboobeh Jafari, Delaram Sadeghi, et al.
Lecture notes in computer science (2024), pp. 139-149
Closed Access | Times Cited: 3

RETRACTED ARTICLE: Features fusion based novel approach for efficient blood vessel segmentation from fundus images
Law Kumar Singh, Munish Khanna, Dheeraj Mansukhani, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 18, pp. 55109-55145
Closed Access | Times Cited: 9

A novel approach to schizophrenia Detection: Optimized preprocessing and deep learning analysis of multichannel EEG data
Sridevi Srinivasan, J. Shiny Duela
Expert Systems with Applications (2023) Vol. 246, pp. 122937-122937
Closed Access | Times Cited: 9

Machine learning and natural language processing to assess the emotional impact of influencers’ mental health content on Instagram
Noemí Merayo, Alba Ayuso Lanchares, Clara González‐Sanguino
PeerJ Computer Science (2024) Vol. 10, pp. e2251-e2251
Open Access | Times Cited: 2

Deep feature extraction from EEG signals using xception model for emotion classification
Arpan Phukan, Deepak Gupta
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 33445-33463
Closed Access | Times Cited: 6

An Efficient Automated Detection of Schizophrenia Using k-NN and Bag of Words Features
Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore
SN Computer Science (2023) Vol. 4, Iss. 5
Closed Access | Times Cited: 5

Utilizing deep convolutional neural architecture with attention mechanism for objective diagnosis of schizophrenia using wearable IoMT devices
Muzafar Mehraj Misgar, M. P. S. Bhatia
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 39601-39620
Closed Access | Times Cited: 5

A brief review of the neuroimaging modalities in schizophrenia and their scope
Sagarika Ray, Amit Kumar Pal, Partha Sarathi Kundu
Annals of Medical Science and Research (2024) Vol. 3, Iss. 1, pp. 33-38
Closed Access | Times Cited: 1

Machine Learning Approaches for the Detection of Schizophrenia Using Structural MRI
Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore
Communications in computer and information science (2023), pp. 423-439
Closed Access | Times Cited: 4

Harnessing EEG Signals to Detect Schizophrenia: A Deep Learning Approach
Saloni Upadhyay, A. Charan Kumari, K. Srinivas
Algorithms for intelligent systems (2024), pp. 189-199
Closed Access | Times Cited: 1

Improved content-based brain tumor retrieval for magnetic resonance images using weight initialization framework with densely connected deep neural network
Vibhav Prakash Singh, Aman Verma, Dushyant Kumar Singh, et al.
Neural Computing and Applications (2023)
Closed Access | Times Cited: 2

SentiSync: A Robust System for Sentiment Detection and Analyzing the Mental Health Care with ML-Driven Algorithms
B U Sinchana, Thanushree G Hiremath, H Priyanka
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 151-157
Open Access

Detection of Lung Diseases Using Deep Transfer Learning-Based Convolution Neural Networks
Ankur Prakash, Vibhav Prakash Singh
Communications in computer and information science (2024), pp. 82-92
Closed Access

CC- GCN: A novel graph-based approach for identification and detection of autism spectrum disorder
Shivani Rohilla, Mahipal Jadeja, Emmanuel S. Pilli, et al.
Multimedia Tools and Applications (2024)
Closed Access

Detection of Schizophrenia from EEG Signals using Selected Statistical Moments of MFC Coefficients and Ensemble Learning
Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore
Neuroinformatics (2024)
Closed Access

Schizophrenia Detection and Classification: A Systematic Review of the Last Decade
Apurba Saha, Seungmin Park, Zong Woo Geem, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2698-2698
Open Access

Motif-Matching Based Sub-Braingraph Level Networks for Noisy Resting-State fMRI Analysis
Yan Zhang, Xin Liu, Zuping Zhang
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 141-145
Closed Access

Ruh Sağlığı Alanında Yapay Zeka Araştırmaları: Bibliyometrik Bir Değerlendirme
Esra Uslu, Emrah Atılgan
OSMANGAZİ JOURNAL OF MEDICINE (2024) Vol. 46, Iss. 4
Closed Access

Diagnosis of schizophrenia based on transformation from EEG sub-bands to the image with deep learning architecture
Ömer Türk, Erdoğan Aldemir, Emrullah Acar, et al.
Soft Computing (2023) Vol. 28, Iss. 9-10, pp. 6607-6617
Closed Access | Times Cited: 1

Artificial intelligence and mental disorders: chicken-or-the egg issue
Ali Ahmadi
Deleted Journal (2023) Vol. 6, Iss. 1, pp. 7-18
Open Access | Times Cited: 1

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