Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis
Prableen Kaur, Manik Sharma
Journal of Medical Systems (2019) Vol. 43, Iss. 7
Closed Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Machine Learning and Natural Language Processing in Mental Health: Systematic Review
Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, et al.
Journal of Medical Internet Research (2020) Vol. 23, Iss. 5, pp. e15708-e15708
Open Access | Times Cited: 358
A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks
G. Sambasivam, Geoffrey Duncan Opiyo
Egyptian Informatics Journal (2020) Vol. 22, Iss. 1, pp. 27-34
Open Access | Times Cited: 261
A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges
Sukhpreet Kaur, Yogesh Kumar, Apeksha Koul, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 1863-1895
Open Access | Times Cited: 107
AdPSO: Adaptive PSO-Based Task Scheduling Approach for Cloud Computing
Said Nabi, Masroor Ahmad, Muhammad Ibrahim, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 920-920
Open Access | Times Cited: 92
Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey
Md. Najmul Mowla, Neazmul Mowla, A. F. M. Shahen Shah, et al.
IEEE Access (2023) Vol. 11, pp. 145813-145852
Open Access | Times Cited: 62
Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health
Leonard Bickman
Administration and Policy in Mental Health and Mental Health Services Research (2020) Vol. 47, Iss. 5, pp. 795-843
Open Access | Times Cited: 137
Prevalence and Diagnosis of Neurological Disorders Using Different Deep Learning Techniques: A Meta-Analysis
Ritu Gautam, Manik Sharma
Journal of Medical Systems (2020) Vol. 44, Iss. 2
Closed Access | Times Cited: 135
A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans
Samriti Sharma, Gurvinder Singh, Manik Sharma
Computers in Biology and Medicine (2021) Vol. 134, pp. 104450-104450
Closed Access | Times Cited: 96
Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls
Carla Barros, Carlos A. Silva, Ana P. Pinheiro
Artificial Intelligence in Medicine (2021) Vol. 114, pp. 102039-102039
Open Access | Times Cited: 80
Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review
Gema Castillo-Sánchez, Gonçalo Marques, Enrique Dorronzoro, et al.
Journal of Medical Systems (2020) Vol. 44, Iss. 12
Open Access | Times Cited: 77
A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms
E. Syed Mohamed, Tawseef Ahmad Naqishbandi, Syed Ahmad Chan Bukhari, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100185-100185
Open Access | Times Cited: 34
Research on stock trend prediction method based on optimized random forest
Lili Yin, Benling Li, Peng Li, et al.
CAAI Transactions on Intelligence Technology (2021) Vol. 8, Iss. 1, pp. 274-284
Open Access | Times Cited: 50
Deep feature selection using local search embedded social ski-driver optimization algorithm for breast cancer detection in mammograms
Payel Pramanik, Souradeep Mukhopadhyay, Seyedali Mirjalili, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 7, pp. 5479-5499
Open Access | Times Cited: 29
Machine learning to predict the antimicrobial activity of cold atmospheric plasma-activated liquids
Mehmet Akif Özdemir, Gizem Dilara Özdemir, Merve Gül, et al.
Machine Learning Science and Technology (2023) Vol. 4, Iss. 1, pp. 015030-015030
Open Access | Times Cited: 18
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
Influenza-like illness prediction using a long short-term memory deep learning model with multiple open data sources
Chao‐Tung Yang, Yuan-An Chen, Yu-Wei Chan, et al.
The Journal of Supercomputing (2020) Vol. 76, Iss. 12, pp. 9303-9329
Open Access | Times Cited: 45
A chaotic and stressed environment for 2019-nCoV suspected, infected and other people in India: Fear of mass destruction and causality
Samriti Sharma, Manik Sharma, Gurvinder Singh
Asian Journal of Psychiatry (2020) Vol. 51, pp. 102049-102049
Open Access | Times Cited: 44
Permeability prediction of petroleum reservoirs using stochastic gradient boosting regression
Abdülhamit Subaşı, Mohamed F. El‐Amin, Tarek Darwich, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 13, Iss. 7, pp. 3555-3564
Closed Access | Times Cited: 43
Machine Learning in Medical Emergencies: a Systematic Review and Analysis
Inés Robles Mendo, Gonçalo Marques, Isabel de la Torre Díez, et al.
Journal of Medical Systems (2021) Vol. 45, Iss. 10
Open Access | Times Cited: 28
Automated epilepsy seizure detection from EEG signal based on hybrid CNN and LSTM model
Saroj Kumar Pandey, Rekh Ram Janghel, Pankaj Kumar Mishra, et al.
Signal Image and Video Processing (2022) Vol. 17, Iss. 4, pp. 1113-1122
Closed Access | Times Cited: 21
Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy
Moustaq Karim Khan Rony, Dipak Chandra Das, Most. Tahmina Khatun, et al.
Digital Health (2025) Vol. 11
Open Access
Extensive Investigation on Smart Healthcare Towards Disease Classification Using Deep Learning
Mayurakshi Jana, Suparna Biswas
(2025), pp. 567-589
Closed Access
A Comparative Analysis of Machine Learning classifiers for Dysphonia-based classification of Parkinson’s Disease
Jinee Goyal, Padmavati Khandnor, Trilok Chand Aseri
International Journal of Data Science and Analytics (2020) Vol. 11, Iss. 1, pp. 69-83
Closed Access | Times Cited: 32
The fusion of Internet of Intelligent Things (IoIT) in remote diagnosis of obstructive Sleep Apnea: A survey and a new model
Mohamed Abdel‐Basset, Weiping Ding, Laila Abdel‐Fatah
Information Fusion (2020) Vol. 61, pp. 84-100
Closed Access | Times Cited: 31
The performance of various machine learning methods for Parkinson’s disease recognition: a systematic review
Nader Salari, Mohsen Kazeminia, Hesam Sagha, et al.
Current Psychology (2022) Vol. 42, Iss. 20, pp. 16637-16660
Closed Access | Times Cited: 17
Page 1 - Next Page

Scroll to top