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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:

A hybrid ARIMA-SVR approach for forecasting emergency patient flow
Yumeng Zhang, Li Luo, Shuicheng Yan, et al.
Journal of Ambient Intelligence and Humanized Computing (2018) Vol. 10, Iss. 8, pp. 3315-3323
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A Hybrid System Based on Dynamic Selection for Time Series Forecasting
João Fausto Lorenzato de Oliveira, Eraylson G. Silva, Paulo S. G. de Mattos Neto
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 8, pp. 3251-3263
Closed Access | Times Cited: 67
Autoregressive integrated moving average with semantic information: An efficient technique for intelligent prediction of dengue cases
Wanarat Juraphanthong, Kraisak Kesorn
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109985-109985
Closed Access | Times Cited: 1
An EMD-SVR model for short-term prediction of ship motion using mirror symmetry and SVR algorithms to eliminate EMD boundary effect
Zhihong Nie, Feng Shen, Dingjie Xu, et al.
Ocean Engineering (2020) Vol. 217, pp. 107927-107927
Closed Access | Times Cited: 65
A decomposition-based forecasting method with transfer learning for railway short-term passenger flow in holidays
Keyu Wen, Guotang Zhao, Bisheng He, et al.
Expert Systems with Applications (2021) Vol. 189, pp. 116102-116102
Closed Access | Times Cited: 52
A hybrid ARIMA-LSTM model optimized by BP in the forecast of outpatient visits
Yamin Deng, Huifang Fan, Shiman Wu
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 14, Iss. 5, pp. 5517-5527
Closed Access | Times Cited: 34
An Optimal Hybrid Bi-Component Series-Parallel Structure for Time Series Forecasting
Zahra Hajirahimi, Mehdi Khashei
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 11, pp. 11067-11078
Closed Access | Times Cited: 11
Ensemble meta-heuristics and Q-learning for staff dissatisfaction constrained surgery scheduling and rescheduling
Hui Yu, Kaizhou Gao, Naiqi Wu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108668-108668
Closed Access | Times Cited: 4
Predicting hospital emergency department visits with deep learning approaches
Xinxing Zhao, Joel Weijia Lai, Andrew Fu Wah Ho, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 1051-1065
Closed Access | Times Cited: 18
An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression
C. Peláez‐Rodríguez, Ricardo Torres-López, Jorge Pérez‐Aracil, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 245, pp. 108033-108033
Open Access | Times Cited: 3
Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning
Bruno Matos Porto, Flávio Sanson Fogliatto
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
A novel integrated prediction method using adaptive mode decomposition, attention mechanism and deep learning for coking products prices
Xuhui Zhu, Chenggong Ma, Lei Hao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109504-109504
Closed Access | Times Cited: 2
Hybrid time series interval prediction by granular neural network and ARIMA
Mingli Song, Ruobing Wang, Yan Li
Granular Computing (2023) Vol. 9, Iss. 1
Closed Access | Times Cited: 5
Sequence in Hybridization of Statistical and Intelligent Models in Time Series Forecasting
Zahra Hajirahimi, Mehdi Khashei
Neural Processing Letters (2020) Vol. 54, Iss. 5, pp. 3619-3639
Closed Access | Times Cited: 13
Prediction of Daily Blood Sampling Room Visits Based on ARIMA and SES Model
Xinli Zhang, Yu Yu, Fei Xiong, et al.
Computational and Mathematical Methods in Medicine (2020) Vol. 2020, pp. 1-11
Open Access | Times Cited: 12
XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department
Antonio J. Rivera, J. Cobo Muñoz, M.D. Pérez-Goody, et al.
Artificial Intelligence in Medicine (2023) Vol. 137, pp. 102494-102494
Open Access | Times Cited: 4
Towards Improving Multivariate Time-Series Forecasting Using Weighted Linear Stacking
Konstandinos Aiwansedo, Jérôme Bosche, Wafa Badreddine
Lecture notes in computer science (2024), pp. 202-222
Closed Access | Times Cited: 1
Accurate Forecasting of Emergency Department Arrivals With Internet Search Index and Machine Learning Models: Model Development and Performance Evaluation
Bi Fan, Jiaxuan Peng, Hainan Guo, et al.
JMIR Medical Informatics (2022) Vol. 10, Iss. 7, pp. e34504-e34504
Open Access | Times Cited: 6
A data-driven multi-fidelity simulation optimization for medical staff configuration at an emergency department in Hong Kong
Hainan Guo, Haobin Gu, Yu Zhou, et al.
Flexible Services and Manufacturing Journal (2020) Vol. 34, Iss. 2, pp. 238-262
Closed Access | Times Cited: 7
A systematic literature review on support vector machines applied to regression
Daniel Mavilo Calderon Nieto, Erik Alex Papa Quiroz, Miguel Ángel Cano Lengua
(2021), pp. 1-4
Closed Access | Times Cited: 7
Modelling lock-down strictness for COVID-19 pandemic in ASEAN countries by using hybrid ARIMA-SVR and hybrid SEIR-ANN
Maharani A. Bakar, Norizan Mohamed, Danang A. Pratama, et al.
Arab Journal of Basic and Applied Sciences (2021) Vol. 28, Iss. 1, pp. 204-224
Open Access | Times Cited: 6
Singular spectrum analysis (SSA) based hybrid models for emergency ambulance demand (EAD) time series forecasting
Jing Wang, Xuhong Peng, Jindong Wu, et al.
IMA Journal of Management Mathematics (2023) Vol. 35, Iss. 1, pp. 45-64
Open Access | Times Cited: 2
Study on the Early Warning Methods of Dynamic Landslides of Large Abandoned Rockfill Slopes
Nan Qiao, Yunling Duan, Xiaomeng Shi, et al.
Applied Sciences (2020) Vol. 10, Iss. 17, pp. 6097-6097
Open Access | Times Cited: 5
An intelligent hybridized computing techniques for the prediction of roadway traffic noise based on non-linear mutual information
Ibrahim Khalil Umar, Vahid Nourani, Hüseyin Gökçekuş, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 3
Peramalan Harga Emas Saat Pandemi Covid-19 Menggunakan Model Hybrid Autoregressive Integrated Moving Average - Support Vector Regression
Drajat Indra Purnama
Jambura Journal of Mathematics (2021) Vol. 3, Iss. 1, pp. 52-65
Open Access | Times Cited: 4
Modelling monthly influenza cases in Malaysia
Muhammad Adam Norrulashikin, Fadhilah Yusof, Nur Hanani Mohd Hanafiah, et al.
PLoS ONE (2021) Vol. 16, Iss. 7, pp. e0254137-e0254137
Open Access | Times Cited: 4
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