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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:

An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting
Zongxi Qu, Yutong Li, Xia Jiang, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118746-118746
Open Access | Times Cited: 20

Showing 20 citing articles:

Bitterling fish optimization (BFO) algorithm
Lida Zareian, Javad Rahebi, Mohammad Javad Shayegan
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 75893-75926
Open Access | Times Cited: 8
Utilizing CNN-LSTM techniques for the enhancement of medical systems
Alanazi Rayan, Sager holyl alruwaili, Alaa Alaerjan, et al.
Alexandria Engineering Journal (2023) Vol. 72, pp. 323-338
Open Access | Times Cited: 20
Crude Oil Price Forecasting Model Based on Neural Networks and Error Correction
Guangji Zheng, Ye Li, Yu Xia
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1055-1055
Open Access
Leveraging Brain MRI for Biomedical Alzheimer’s Disease Diagnosis Using Enhanced Manta Ray Foraging Optimization Based Deep Learning
R. Syed Jamalullah, L. Mary Gladence, Mohammed Altaf Ahmed, et al.
IEEE Access (2023) Vol. 11, pp. 81921-81929
Open Access | Times Cited: 8
An innovative ensemble model based on deep learning for predicting COVID-19 infection
Xiaoying Su, Yanfeng Sun, Liu Hong-xi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
A novel featurization methodology using JaGen algorithm for time series forecasting with deep learning techniques
Hossein Abbasimehr, Ali Noshad, Reza Paki
Expert Systems with Applications (2023) Vol. 235, pp. 121279-121279
Closed Access | Times Cited: 6
Improvement of Time Forecasting Models Using Machine Learning for Future Pandemic Applications Based on COVID-19 Data 2020–2022
Abdul Aziz K Abdul Hamid, Wan Imanul Aisyah Wan Mohamad Nawi, Muhamad Safiih Lola, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1121-1121
Open Access | Times Cited: 5
Screening and affinity optimization of single domain antibody targeting the SARS-CoV-2 nucleocapsid protein
Qian Yang, Mengru Yan, Juan Lin, et al.
PeerJ (2024) Vol. 12, pp. e17846-e17846
Open Access | Times Cited: 1
LSTM-based Forecasting using Policy Stringency and Time-varying Parameters of the SIR Model for COVID-19
Pavodi Maniamfu, Keisuke Kameyama
(2023) Vol. 2021, pp. 111-116
Closed Access | Times Cited: 3
IoT enhanced metaheuristics with deep transfer learning based robust crop pest recognition and classification
Adwan Alanazi, Alkhansa A. Shakeabubakor, S. Abdel‐Khalek, et al.
Alexandria Engineering Journal (2023) Vol. 84, pp. 100-111
Open Access | Times Cited: 3
Advanced forecasting of COVID-19 epidemic: Leveraging ensemble models, advanced optimization, and decomposition techniques
Yingyu Yin, Iman Ahmadianfar, Faten Khalid Karim, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108442-108442
Closed Access
Optimal Differential Control for Accurate Positioning of Medical Electronic Wristband
Wei Li, Xeu-qin Meng, Changsong Ma
Tehnicki vjesnik - Technical Gazette (2024) Vol. 31, Iss. 3
Open Access
Forecasting COVID-19 Pandemic – A scientometric Review of Methodologies Based on Mathematics, Statistics, and Machine Learning
Satya Prakash, Anand Singh Jalal, Pooja Pathak
Data & Metadata (2024) Vol. 3
Closed Access
GA-DE: an integrated meta-heuristic approach for optimizing feedforward neural networks
Mengying Shang, Mengnan Tian, X.X. Wang
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access
A Multivariate Deep Learning Model with Coupled Human Intervention Factors for COVID-19 Forecasting
Zongxi Qu, Beidou Zhang, Hongpeng Wang
Systems (2023) Vol. 11, Iss. 4, pp. 201-201
Open Access | Times Cited: 1
An Improved Granulated Convolutional Neural Network Data Analysis Model for COVID-19 Prediction
Meilin Wu, Lianggui Tang, Qingda Zhang, et al.
Intelligent Automation & Soft Computing (2023) Vol. 37, Iss. 1, pp. 179-198
Open Access | Times Cited: 1
Matching Prediction of Teacher Demand and Training Based on SARIMA Model Based on Neural Network
Jianliu Zhu
International Journal of Information Technology and Web Engineering (2023) Vol. 18, Iss. 1, pp. 1-15
Open Access | Times Cited: 1
Uncertainty analysis–forecasting system based on decomposition–ensemble framework for PM2.5 concentration forecasting in China
Zongxi Qu, Xiaogang Hao, Fazhen Zhao, et al.
Journal of Forecasting (2023) Vol. 42, Iss. 8, pp. 2027-2044
Closed Access
Wild Horse Optimizer with Deep Learning Based Leukemia Diagnosis on Microscopic Blood Smear Images
Mahdi Abdulkhudur Alkhafaij, Nada Adnan Taher, Hussein Ali Rasool, et al.
2022 5th International Conference on Engineering Technology and its Applications (IICETA) (2023), pp. 878-884
Closed Access
OptiSembleForecasting: Optimization Based Ensemble Forecasting Using MCS Algorithm
Dr. Md Yeasin, Ranjit Kumar Paul
(2022)
Closed Access
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