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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 the Implementation of the Artificial Neural Network Approach for Forecasting Different Healthcare Events
Huda M. Alshanbari, Hasnain Iftikhar, Faridoon Khan, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1310-1310
Open Access | Times Cited: 23

Showing 23 citing articles:

Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images
Law Kumar Singh, Munish Khanna, Himanshu Monga, et al.
New Generation Computing (2024) Vol. 42, Iss. 4, pp. 761-824
Closed Access | Times Cited: 12
Forecasting Day-Ahead Brent Crude Oil Prices Using Hybrid Combinations of Time Series Models
Hasnain Iftikhar, Aimel Zafar, Josué Edison Turpo Chaparro, et al.
Mathematics (2023) Vol. 11, Iss. 16, pp. 3548-3548
Open Access | Times Cited: 28
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: 22
Forecasting stock prices using a novel filtering-combination technique: Application to the Pakistan stock exchange
Hasnain Iftikhar, Murad Khan, Josué Edison Turpo Chaparro, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 2, pp. 3264-3288
Open Access | Times Cited: 7
Modeling and forecasting carbon dioxide emission in Pakistan using a hybrid combination of regression and time series models
Hasnain Iftikhar, Murad Khan, Justyna Żywiołek, et al.
Heliyon (2024) Vol. 10, Iss. 13, pp. e33148-e33148
Open Access | Times Cited: 6
Evaluating the forecasting performance of ensemble sub-epidemic frameworks and other time series models for the 2022–2023 mpox epidemic
Amanda Bleichrodt, Ruiyan Luo, Alexander Kirpich, et al.
Royal Society Open Science (2024) Vol. 11, Iss. 7
Open Access | Times Cited: 6
Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan
Moiz Qureshi, Khushboo Ishaq, Muhammad Daniyal, et al.
BMC Public Health (2025) Vol. 25, Iss. 1
Open Access
Leveraging dynamics informed neural networks for predictive modeling of COVID-19 spread: a hybrid SEIRV-DNNs approach
Cheng Cheng, Elayaraja Aruchunan, Noor Aziz
Scientific Reports (2025) Vol. 15, Iss. 1
Open 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
Forecasting Day-Ahead Electricity Prices for the Italian Electricity Market Using a New Decomposition—Combination Technique
Hasnain Iftikhar, Josué Edison Turpo Chaparro, Paulo Canas Rodrigues, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6669-6669
Open Access | Times Cited: 17
The role of green energy stock market in forecasting China's crude oil market: An application of IIS approach and sparse regression models
Faridoon Khan, Sara Muhammadullah, Arshian Sharif, et al.
Energy Economics (2023) Vol. 130, pp. 107269-107269
Closed Access | Times Cited: 16
Day-Ahead Electricity Demand Forecasting Using a Novel Decomposition Combination Method
Hasnain Iftikhar, Josué Edison Turpo Chaparro, Paulo Canas Rodrigues, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6675-6675
Open Access | Times Cited: 14
Short-Term Forecasting of Ozone Concentration in Metropolitan Lima Using Hybrid Combinations of Time Series Models
Natalí Carbo‐Bustinza, Hasnain Iftikhar, Marisol Belmonte, et al.
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10514-10514
Open Access | Times Cited: 13
A hybrid forecasting technique for infection and death from the mpox virus
Hasnain Iftikhar, Muhammad Daniyal, Moiz Qureshi, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 12
Multi-step ahead ozone level forecasting using a component-based technique: A case study in Lima, Peru
Flor Quispe, Eddy Salcedo, Hasnain Iftikhar, et al.
AIMS environmental science (2024) Vol. 11, Iss. 3, pp. 401-425
Open Access | Times Cited: 3
Modeling and Analysis of Monkeypox Outbreak Using a New Time Series Ensemble Technique
Wilfredo Meza Cuba, Juan Carlos Huaman Alfaro, Hasnain Iftikhar, et al.
Axioms (2024) Vol. 13, Iss. 8, pp. 554-554
Open Access | Times Cited: 3
Optimal Features Selection in the High Dimensional Data based on Robust Technique: Application to Different Health Database
Ibrar Hussain, Moiz Qureshi, Muhammad Ismail, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e37241-e37241
Open Access | Times Cited: 3
Adopting a new sine-induced statistical model and deep learning methods for the empirical exploration of the music and reliability data
Yanli Yu, Yan Jia, Mohammed A. Alshahrani, et al.
Alexandria Engineering Journal (2024) Vol. 104, pp. 396-408
Open Access | Times Cited: 1
Short-term PM2.5 forecasting using a unique ensemble technique for proactive environmental management initiatives
Hasnain Iftikhar, Moiz Qureshi, Justyna Żywiołek, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 1
Binary and Ternary Classifiers to Detect COVID-19 Patients Using Chest X-ray Images: An Efficient Layered CNN Approach
Mamta Mittal, Nitin Kumar Chauhan, Adrija Ghansiyal, et al.
New Generation Computing (2024) Vol. 42, Iss. 4, pp. 715-737
Closed Access
A Comprehensive Analysis of the Artificial Neural Networks Model for Predicting Monkeypox Outbreaks
Lulah Alnaji
Heliyon (2024) Vol. 10, Iss. 17, pp. e37274-e37274
Open Access
On predictive modeling of the twitter-based sales data using a new probabilistic model and machine learning methods
Min Wan, Mohammed A. Alshahrani, Najla Aloraini, et al.
Alexandria Engineering Journal (2024) Vol. 113, pp. 661-671
Closed Access
Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting
Zhihong Lv, Rui Sun, Xin Liu, et al.
BMC Infectious Diseases (2024) Vol. 24, Iss. 1
Open Access
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