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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 Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling
Thabang Mathonsi, Terence L. van Zyl
Forecasting (2021) Vol. 4, Iss. 1, pp. 1-25
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

A Survey on Explainable Anomaly Detection
Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen
ACM Transactions on Knowledge Discovery from Data (2023) Vol. 18, Iss. 1, pp. 1-54
Open Access | Times Cited: 40
Investigating Explainability Methods in Recurrent Neural Network Architectures for Financial Time Series Data
Warren Freeborough, Terence L. van Zyl
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1427-1427
Open Access | Times Cited: 39
Catastrophic PM2.5 emissions from Siberian forest fires: Impacting factors analysis
Aleksey A. Romanov, Anastasia N. Tamarovskaya, Boris A. Gusev, et al.
Environmental Pollution (2022) Vol. 306, pp. 119324-119324
Closed Access | Times Cited: 35
Evaluating the Efficacy of NHITS for Forecasting Stock Realized Volatility: A Comparative Analysis with Established Models
Hugo Gobato Souto
Computational Economics (2025)
Closed Access
An ensemble learning strategy for panel time series forecasting of excess mortality during the COVID-19 pandemic
Afshin Ashofteh, Jorge Miguel Bravo, Mercedes Ayuso
Applied Soft Computing (2022) Vol. 128, pp. 109422-109422
Open Access | Times Cited: 14
Risk Forecasting Comparisons in Decentralized Finance: An Approach in Constant Product Market Makers
Lucas Mussoi Almeida, Fernanda Müller, Marcelo Perlin
Computational Economics (2024)
Closed Access | Times Cited: 2
A Multivariate Temporal Convolutional Attention Network for Time-Series Forecasting
Renzhuo Wan, Chengde Tian, Wei Zhang, et al.
Electronics (2022) Vol. 11, Iss. 10, pp. 1516-1516
Open Access | Times Cited: 12
Can transformers transform financial forecasting?
Hugo Gobato Souto, Amir Moradi
China Finance Review International (2024)
Closed Access | Times Cited: 2
Charting new avenues in financial forecasting with TimesNet: The impact of intraperiod and interperiod variations on realized volatility prediction
Hugo Gobato Souto
Expert Systems with Applications (2024) Vol. 255, pp. 124851-124851
Closed Access | Times Cited: 2
Evaluating State-of-the-Art, Forecasting Ensembles and Meta-Learning Strategies for Model Fusion
Pieter Cawood, Terence L. van Zyl
Forecasting (2022) Vol. 4, Iss. 3, pp. 732-751
Open Access | Times Cited: 11
N-Beats as an EHG Signal Forecasting Method for Labour Prediction in Full Term Pregnancy
Thierry R. Jossou, Zakaria Tahori, Godwin Houdji, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3739-3739
Open Access | Times Cited: 9
Surrogate-assisted strategies: the parameterisation of an infectious disease agent-based model
Rylan Perumal, Terence L. van Zyl
Neural Computing and Applications (2022)
Open Access | Times Cited: 8
NHITS for Forecasting Stock Realized Volatility
Hugo Gobato Souto
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 4
Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting
Terence L. van Zyl
2022 25th International Conference on Information Fusion (FUSION) (2023), pp. 1-8
Open Access | Times Cited: 2
LSTM as ElectroHysteroGram Signal Forecasting Method
Thierry R. Jossou, Abdelali Lasfar, Roland C. Houessouvo, et al.
Lecture notes in networks and systems (2024), pp. 224-231
Closed Access
CCLR-DL: A Novel Statistics and Deep Learning Hybrid Method for Feature Selection and Forecasting Healthcare Demand
Guillem Hernández Guillamet, Francesc López Seguí, Josep Vidal‐Alaball, et al.
(2024)
Open Access
Exploring Appropriate Search Engine Data for Interval Tourism Demand Forecasting Responding a Public Crisis in Macao: A Combined Bayesian Model
Ru‐xin Nie, Chuan Wu, He-Ming Liang
Sustainability (2024) Vol. 16, Iss. 16, pp. 6892-6892
Open Access
Clarifying early period hydration process of ultra‐low W/B cementitious composite subjected to underwater circumstance
Jinyun Zhu, Liuliu Xu, Rui Yu, et al.
Journal of the American Ceramic Society (2024)
Closed Access
Prospective Life Cycle Assessment of Changes in the Boil-off Rate of LNG Ships
Kanghyun Seo, Hyejin Choi, Jae-Ung Lee
Journal of Power System Engineering (2024) Vol. 28, Iss. 3, pp. 33-44
Closed Access
Advancing Mortality Prediction in Ecuador Through Machine Learning Techniques
Adriana Jimenez-Torres, Henry N. Roa
Lecture notes in networks and systems (2024), pp. 258-278
Closed Access
Forecasting and unveiling the impeded factors of total export of Bangladesh using nonlinear autoregressive distributed lag and machine learning algorithms
Tanzin Akhter, Tamanna Siddiqua Ratna, Ferdous Ahmed, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e36274-e36274
Open Access
Time-mixing and Feature-mixing Modelling for Realized Volatility Forecast: Evidence from TSMixer Model
Hugo Gobato Souto, Storm Koert Heuvel, Francisco Louzada
The Journal of Finance and Data Science (2024), pp. 100143-100143
Open Access
Optimised block bootstrap: an efficient variant of circular block bootstrap method with application to South African economic time series data
James Daniel, Kayode Ayinde, Adewale F. Lukman, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 11, pp. 30781-30815
Open Access
Advancements in clinical decision support through deep learning approaches in genetic diagnostics
Pallavi Sulakiya, Chandan Shivamallu, Chattu Bhargavi, et al.
Elsevier eBooks (2024), pp. 107-129
Closed Access
Deep learning-based mortality surveillance: implications for healthcare policy and practice
Suryo Adi Rakhmawan, Tahir Mahmood, Nasir Abbas
Journal of Population Research (2024) Vol. 42, Iss. 1
Closed Access
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