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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:

On Predictive Modeling Using a New Flexible Weibull Distribution and Machine Learning Approach: Analyzing the COVID-19 Data
Zubair Ahmad, Zahra Almaspoor, Faridoon Khan, et al.
Mathematics (2022) Vol. 10, Iss. 11, pp. 1792-1792
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Short-Term Forecasting of Monkeypox Cases Using a Novel Filtering and Combining Technique
Hasnain Iftikhar, Murad Khan, Mohammed Saad Khan, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1923-1923
Open Access | Times Cited: 23
A new family of distributions using a trigonometric function: Properties and applications in the healthcare sector
Omalsad Hamood Odhah, Huda M. Alshanbari, Zubair Ahmad, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e29861-e29861
Open Access | Times Cited: 11
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
Muhammad Usman Tariq, Shuhaida Ismail
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0294289-e0294289
Open Access | Times Cited: 8
Power Lambert uniform distribution: Statistical properties, actuarial measures, regression analysis, and applications
Ahmed M. Gemeay, Kadir Karakaya, M. E. Bakr, et al.
AIP Advances (2023) Vol. 13, Iss. 9
Open Access | Times Cited: 19
A new sine-arisen probabilistic model and artificial neural network methods for statistical modeling of the music engineering and reliability data
Junqiao Zhu, M. M. Mohie El-Din, Jin-Taek Seong, et al.
Alexandria Engineering Journal (2024) Vol. 101, pp. 108-117
Open Access | Times Cited: 5
Application of artificial intelligence for feature engineering in education sector and learning science
Chao Wang, Tao Li, Zhicui Lu, et al.
Alexandria Engineering Journal (2024) Vol. 110, pp. 108-115
Closed Access | Times Cited: 5
A new statistical framework: Exploring its identifiability characteristics and applications within music therapy and engineering
Dongmei Wang, Jie Wang
Alexandria Engineering Journal (2025) Vol. 117, pp. 53-65
Closed Access
A new asymmetrical probability model: Its empirical exploration using the price quotations of the ceramic products
Tianqing Lin, Lingyue Shen, Najla Aloraini, et al.
Alexandria Engineering Journal (2025) Vol. 117, pp. 66-80
Closed Access
On the implications of artificial intelligence methods for feature engineering in reliability sector
Dongsheng Guo, Ting Yang, Dong Zhang
Alexandria Engineering Journal (2025) Vol. 117, pp. 463-471
Closed Access
On the assessment and reliability of political and ideological education in colleges using deep learning methods
Yongsheng Ma, Xianfang Sun, Aiqun Ma
Alexandria Engineering Journal (2025) Vol. 119, pp. 511-517
Closed Access
Applications of deep learning techniques for predicting dynamic service location enhanced scheduling algorithm in foggy computing environment
Mengmeng Wang
Alexandria Engineering Journal (2025) Vol. 117, pp. 183-192
Closed Access
The role of social work in enhancing social governance: Policy, law, practice, and integration of machine learning for improved outcomes
Xu Li, Peng Xue
Alexandria Engineering Journal (2025) Vol. 118, pp. 208-215
Closed Access
On the implications of artificial intelligence methods for feature engineering in reliability sector with computer knowledge graph
Heling Jiang, Yan Xia, Changjie Yu, et al.
Alexandria Engineering Journal (2025) Vol. 119, pp. 587-597
Closed Access
On exploring features engineering and machine learning algorithms in the domain of clinical-psychological
Baiyang Liu, Da He, Li Jia, et al.
Alexandria Engineering Journal (2025) Vol. 123, pp. 488-496
Closed Access
A new flexible Weibull extension model: Different estimation methods and modeling an extreme value data
Huda M. Alshanbari, Omalsad Hamood Odhah, Hazem Al-Mofleh, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21704-e21704
Open Access | Times Cited: 8
On fitting and forecasting the log-returns of cryptocurrency exchange rates using a new logistic model and machine learning algorithms
Zubair Ahmad, Zahra Almaspoor, Faridoon Khan, et al.
AIMS Mathematics (2022) Vol. 7, Iss. 10, pp. 18031-18049
Open Access | Times Cited: 12
A new probabilistic model: Its implementations to the reliability products and art tools
Chaoyu Li, Bin Lin, Zhijie Zhou, et al.
Alexandria Engineering Journal (2024) Vol. 109, pp. 347-358
Open Access | Times Cited: 2
A new probabilistic model: Its implementations to time duration and injury rates in physical training, sports, and reliability sector
Guang Hua Lu, Osama Abdulaziz Alamri, Badr Alnssyan, et al.
Alexandria Engineering Journal (2024) Vol. 108, pp. 839-851
Open Access | Times Cited: 2
A New Tangent-Generated Probabilistic Approach with Symmetrical and Asymmetrical Natures: Monte Carlo Simulation with Reliability Applications
Huda M. Alshanbari, Hazem Al-Mofleh, Jin-Taek Seong, et al.
Symmetry (2023) Vol. 15, Iss. 11, pp. 2066-2066
Open Access | Times Cited: 6
A New Sine-Based Distributional Method with Symmetrical and Asymmetrical Natures: Control Chart with Industrial Implication
Huda M. Alshanbari, G. Srinivasa Rao, Jin-Taek Seong, et al.
Symmetry (2023) Vol. 15, Iss. 10, pp. 1892-1892
Open Access | Times Cited: 5
Integrated modeling of the sports and reliability data: Implications of the probabilistic model and deep learning approaches
Xiaolong Shi, Jie Hu, Ruibo Gao
Alexandria Engineering Journal (2024) Vol. 94, pp. 274-286
Open Access | Times Cited: 1
New Challenges in the Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-Pharmaceutical Actions and Vaccination Strategies
Cristiano Maria Verrelli, Fabio Della Rossa
Mathematics (2024) Vol. 12, Iss. 9, pp. 1353-1353
Open Access | Times Cited: 1
Exploring the Role of Industry 4.0 and Simulation as a Solution to the COVID-19 Outbreak: a Literature Review
Giovanni Mirabelli, Letizia Nicoletti, Antonio Padovano, et al.
Procedia Computer Science (2023) Vol. 217, pp. 1918-1929
Open Access | Times Cited: 4
On the development of new cosine-based probabilistic methods with applications to univariate and bivariate analyses of the wind speed energy
Badr Alnssyan, Mohammed A. Al‐Omair
Heliyon (2023) Vol. 9, Iss. 11, pp. e21482-e21482
Open Access | Times Cited: 3
New Statistical Approaches for Modeling the COVID-19 Data Set: A Case Study in the Medical Sector
Mohammed M. A. Almazah, Kalim Ullah, Eslam Hussam, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 5
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