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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:

Daily PM2.5 and PM10 forecasting using linear and nonlinear modeling framework based on robust local mean decomposition and moving window ensemble strategy
Zicheng Wang, Huayou Chen, Jiaming Zhu, et al.
Applied Soft Computing (2021) Vol. 114, pp. 108110-108110
Closed Access | Times Cited: 22

Showing 22 citing articles:

Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data
Rana Muhammad Adnan, Reham R. Mostafa, Hongliang Dai, et al.
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 63
Online dynamic ensemble deep random vector functional link neural network for forecasting
Ruobin Gao, Ruilin Li, Minghui Hu, et al.
Neural Networks (2023) Vol. 166, pp. 51-69
Open Access | Times Cited: 30
Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model
Mehdi Jamei, Mumtaz Ali, Anurag Malik, et al.
Journal of Cleaner Production (2022) Vol. 374, pp. 134011-134011
Closed Access | Times Cited: 31
A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm
Zicheng Wang, Ruobin Gao, Piao Wang, et al.
Technological Forecasting and Social Change (2023) Vol. 191, pp. 122504-122504
Closed Access | Times Cited: 22
A New Approach for Forecasting Crude Oil Prices Based on Stochastic and Deterministic Influences of LMD Using ARIMA and LSTM Models
Jawaria Nasir, Muhammad Aamir, Zahoor Ul Haq, et al.
IEEE Access (2023) Vol. 11, pp. 14322-14339
Open Access | Times Cited: 21
An ensemble interval prediction model with change point detection and interval perturbation-based adjustment strategy: A case study of air quality
Feng Jiang, Qiannan Zhu, Tianhai Tian
Expert Systems with Applications (2023) Vol. 222, pp. 119823-119823
Closed Access | Times Cited: 17
Shipping market time series forecasting via an Ensemble Deep Dual-Projection Echo State Network
Xuefei Song, Zhong Shuo Chen
Computers & Electrical Engineering (2024) Vol. 117, pp. 109218-109218
Closed Access | Times Cited: 6
Short-term air quality prediction based on EMD-transformer-BiLSTM
Jie Dong, Yaoli Zhang, Jiang Hu
Scientific Reports (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 6
Reduced Bayesian Optimized Stacked Regressor (RBOSR): A highly efficient stacked approach for improved air pollution prediction
Danny Hartanto Djarum, Zainal Ahmad, Jie Zhang
Applied Soft Computing (2023) Vol. 144, pp. 110466-110466
Open Access | Times Cited: 13
A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting
Essam H. Houssein, Mohamed Mroueh, Eman M. G. Younis, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Time-Series Data-Driven PM2.5 Forecasting: From Theoretical Framework to Empirical Analysis
Chengqian Wu, Ruiyang Wang, Siyu Lu, et al.
Atmosphere (2025) Vol. 16, Iss. 3, pp. 292-292
Open Access
Comprehensive Scale Fusion Networks with High Spatiotemporal Feature Correlation for Air Quality Prediction
Chen-Yi Wu, Zhengliang Lai, Yuanrong Xu, et al.
Atmosphere (2025) Vol. 16, Iss. 4, pp. 429-429
Open Access
State-of-art in modelling particulate matter (PM) concentration: a scoping review of aims and methods
Lorenzo Gianquintieri, Daniele Oxoli, Enrico G. Caiani, et al.
Environment Development and Sustainability (2024)
Open Access | Times Cited: 3
Linear and nonlinear framework for interval-valued PM2.5 concentration forecasting based on multi-factor interval division strategy and bivariate empirical mode decomposition
Zicheng Wang, Hao Li, Huayou Chen, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117707-117707
Closed Access | Times Cited: 15
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: 15
Application of aggregation operators for forecasting PM10 fluctuations: From available Caribbean data sites to unequipped ones
Thomas Plocoste, Sébastien Regis, Silvère Paul Nuiro, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 6, pp. 102116-102116
Closed Access | Times Cited: 1
Prediction of PM2.5 concentration based on the CEEMDAN-RLMD-BiLSTM-LEC model
Guo Qiao, Haoyu Zhang, Yuhao Zhang, et al.
PeerJ (2023) Vol. 11, pp. e15931-e15931
Open Access | Times Cited: 2
Robust augmented estimation for hourly PM$$_{2.5}$$ using heteroscedastic spatiotemporal models
Yanan Song, Jinran Wu, Liya Fu, et al.
Stochastic Environmental Research and Risk Assessment (2023) Vol. 38, Iss. 4, pp. 1423-1451
Closed Access | Times Cited: 2
Application of Improved Robust Local Mean Decomposition and Multiple Disturbance Multi-Verse Optimizer-Based MCKD in the Diagnosis of Multiple Rolling Element Bearing Faults
Xiang Lu, Ao Zhu, Yaqi Song, et al.
Machines (2022) Vol. 10, Iss. 10, pp. 883-883
Open Access | Times Cited: 4
Advancing Logistics Management: E3L-Net for Predictive Demand Analytics
Yao Lu
IEEE Access (2024) Vol. 12, pp. 114809-114819
Open Access
Predicting Dust Pollution from Dry Bulk Ports in Coastal Cities: A Hybrid Approach Based on Data Decomposition and Deep Learning
Wenyuan Wang, Bochi Liu, Qi Tian, et al.
(2023)
Closed Access | Times Cited: 1
Investigating the Degree of Persistence, Trend and the Best Time Series Forecasting Models for Particulate Matter (PM10) Pollutant Across Malaysia
Lawan Adamu Isma’il, Norhashidah Awang, Ibrahim Lawal Kane
Malaysian Journal of Fundamental and Applied Sciences (2023) Vol. 19, Iss. 5, pp. 733-753
Open Access
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