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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:

Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations’ COVID-19 Pandemic
Yogesh Kumar, Apeksha Koul, Sukhpreet Kaur, et al.
SN Computer Science (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Genetic Disorders Using Various Gene Disorders
Neelam Chaplot, Dhiraj Pandey, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3301-3323
Closed Access | Times Cited: 25
A Review on Prediction and Prognosis of the Prostate Cancer and Gleason Grading of Prostatic Carcinoma Using Deep Transfer Learning Based Approaches
G. Prabu Kanna, S J K Jagadeesh Kumar, Pavithra Parthasarathi, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3113-3132
Closed Access | Times Cited: 24
Enhancing parasitic organism detection in microscopy images through deep learning and fine-tuned optimizer
Yogesh Kumar, Pertik Garg, Manu Raj Moudgil, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
An Analysis of Detection and Diagnosis of Different Classes of Skin Diseases Using Artificial Intelligence-Based Learning Approaches with Hyper Parameters
Jagandeep Singh, Jasminder Kaur Sandhu, Yogesh Kumar
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 1051-1078
Closed Access | Times Cited: 14
Using AI in the Economic Evaluation of AI-Based Health Technologies
Salah Ghabri
PharmacoEconomics (2025)
Closed Access
A Comprehensive Study of Deep Learning Methods for Kidney Tumor, Cyst, and Stone Diagnostics and Detection Using CT Images
Yogesh Kumar, Tejinder Pal Singh Brar, Chhinder Kaur, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 3
A systematic literature review of time series methods applied to epidemic prediction
Apollinaire Batoure Bamana, Mahdi Shafiee Kamalabad, Daniel L. Oberski
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101571-101571
Open Access | Times Cited: 3
Real-time forecasting of COVID-19 spread according to protective behavior and vaccination: autoregressive integrated moving average models
Chieh Cheng, Weiming Jiang, Byron Fan, et al.
BMC Public Health (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 8
Machine Learning-Based Approaches for the Prognosis and Prediction of Multiple Diseases
Priya Bhardwaj, Yogesh Kumar, Shakti Mishra
(2024), pp. 1-6
Closed Access | Times Cited: 2
Deep learning approaches for MIMO time-series analysis
Fachrul Kurniawan, Sarina Sulaiman, Siaka Konate, et al.
International Journal of Advances in Intelligent Informatics (2023) Vol. 9, Iss. 2, pp. 286-286
Open Access | Times Cited: 6
ML-DPIE: comparative evaluation of machine learning methods for drought parameter index estimation: a case study of Türkiye
Önder Çoban, Musa Eşit, Sercan Yalçın
Natural Hazards (2023) Vol. 120, Iss. 2, pp. 989-1021
Closed Access | Times Cited: 4
Assessing the impact of the National Clean Air Programme in Uttar Pradesh's non-attainment cities: a prophet model time series analysis
Om Prakash Bera, U Venkatesh, Gopal Krushna Pal, et al.
The Lancet Regional Health - Southeast Asia (2024) Vol. 30, pp. 100486-100486
Open Access | Times Cited: 1
EpiForecaster: a novel deep learning ensemble optimization approach to combining forecasts for emerging epidemic outbreaks
Milton Soto-Ferrari, Alejandro Carrasco‐Pena, Diana Prieto
Stochastic Environmental Research and Risk Assessment (2024)
Closed Access | Times Cited: 1
Big Data Analysis of Cognitive Cloud Computing Based Intelligent Healthcare System
Nirav R. Shah, Aakansha Saxena, Yogesh Kumar
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023)
Closed Access | Times Cited: 2
Modelling the infection cases during the epidemiological spread using an effective mathematical model
N. A. Elmunim
Chaos Solitons & Fractals X (2024) Vol. 12, pp. 100111-100111
Open Access
An automated multi-classification of communicable diseases using ensemble learning for disease surveillance
Kavita Thakur, Navneet Kaur Sandhu, Yogesh Kumar, et al.
International Journal of Systems Assurance Engineering and Management (2024) Vol. 15, Iss. 8, pp. 3737-3756
Closed Access
Advancements in Artificial Intelligence Techniques for Diagnosis and Detection in 3D Medical Images
Maitry Bimalbhai Desai, Shilpa Pandey, Yogesh Kumar
(2024), pp. 1-7
Closed Access
Adaptive approach for tracking movements of biological targets: application to robot-based intervention for prostate cancer
Abdeslem Smahi, Othman Lakhal, Taha Chettibi, et al.
Frontiers in Robotics and AI (2024) Vol. 11
Open Access
Adaptive Movement Tracking for Prostate Organ in Robot-Assisted Brachytherapy Treatment
Abdeslem Smahi, Othman Lakhal, Mario Sanz Lopez, et al.
(2024), pp. 879-884
Closed Access
A prediction of mutations in infectious viruses using artificial intelligence
Won Jong Choi, Jongkeun Park, Do Young Seong, et al.
Genomics & Informatics (2024) Vol. 22, Iss. 1
Open Access
Enhancing Time Series Forecasting with Machine Learning and Deep Learning Models
Amit Kumar Sharma, Ranjini R. Roy, Sandeep Chaurasia
Communications in computer and information science (2024), pp. 356-364
Closed Access
NH4 Modelling with ARIMA and LSTM
Hanna Arini Parhusip, Suryasatriya Trihandaru, Johanes Dian Kurniawan
Jurnal Ilmu Lingkungan (2024) Vol. 22, Iss. 6, pp. 1670-1678
Open Access
Efficient Approach for Diagnosis and Detection of Alzheimer Diseases Using Deep Learning
Maitry Bimalbhai Desai, Yogesh Kumar, Shilpa Pandey
(2024), pp. 1-5
Closed Access
Tuberculosis Detection and Classification in Chest X-ray Images Using Optimized CNN Architecture
Apeksha Koul, Rajesh K. Bawa, Yogesh Kumar
Communications in computer and information science (2024), pp. 42-55
Closed Access
Modeling economic growth in pandemic times with machine learning regression algorithms
Jesús Alejandro Navarro Acosta, Valeria Soto-Mendoza, Laura Policardo, et al.
Deleted Journal (2024) Vol. 20, Iss. 1, pp. 1-33
Open Access
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