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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:

PM2.5 Concentration Prediction Based on Spatiotemporal Feature Selection Using XGBoost-MSCNN-GA-LSTM
Hongbin Dai, Guangqiu Huang, Huibin Zeng, et al.
Sustainability (2021) Vol. 13, Iss. 21, pp. 12071-12071
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Application of wavelet-packet transform driven deep learning method in PM2.5 concentration prediction: A case study of Qingdao, China
Qinghe Zheng, Xinyu Tian, Zhiguo Yu, et al.
Sustainable Cities and Society (2023) Vol. 92, pp. 104486-104486
Open Access | Times Cited: 58
Advanced stacked integration method for forecasting long-term drought severity: CNN with machine learning models
Ahmed Elbeltagi, Aman Srivastava, Muhsan Ehsan, et al.
Journal of Hydrology Regional Studies (2024) Vol. 53, pp. 101759-101759
Open Access | Times Cited: 13
PM2.5 Concentration Prediction Model: A CNN–RF Ensemble Framework
Mei-Hsin Chen, Yao-Chung Chen, Tien‐Yin Chou, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 4077-4077
Open Access | Times Cited: 19
A novel method for corn futures price prediction integrating decomposition, denoising, feature selection and hybrid networks
Chen Yi
Annals of Operations Research (2025)
Closed Access
Exploring the significance of temporal, meteorological, and previous states parameters in $$\hbox {PM}_{2.5}$$ concentration predictions: a neural network sensitivity study for Aguascalientes, Mexico
Héctor Antonio Olmos-Guerrero, Pablo T. Rodriguez-Gonzalez, Ramiro Rico-Martı́nez
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 3
Closed Access
Spatio-Temporal Characteristics of PM2.5 Concentrations in China Based on Multiple Sources of Data and LUR-GBM during 2016–2021
Hongbin Dai, Guangqiu Huang, Jingjing Wang, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 10, pp. 6292-6292
Open Access | Times Cited: 20
Hga-lstm: LSTM architecture and hyperparameter search by hybrid GA for air pollution prediction
Jiayu Liang, Yaxin Lu, Mingming Su
Genetic Programming and Evolvable Machines (2024) Vol. 25, Iss. 2
Closed Access | Times Cited: 3
Sources, pattern, and possible health impacts of PM2.5 in the central region of Bangladesh using PMF, SOM, and machine learning techniques
Md. Shareful Hassan, Mohammad Amir Hossain Bhuiyan, Muhammad Tauhidur Rahman
Case Studies in Chemical and Environmental Engineering (2023) Vol. 8, pp. 100366-100366
Open Access | Times Cited: 8
A hybrid deep learning approach by integrating extreme gradient boosting‐long short‐term memory with generalized autoregressive conditional heteroscedasticity family models for natural gas load volatility prediction
Huibin Zeng, Bilin Shao, Genqing Bian, et al.
Energy Science & Engineering (2022) Vol. 10, Iss. 7, pp. 1998-2021
Open Access | Times Cited: 13
A new cross-domain prediction model of air pollutant concentration based on secure federated learning and optimized LSTM neural network
Guangqiu Huang, Xixuan Zhao, LU Qiu-qin
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 2, pp. 5103-5125
Closed Access | Times Cited: 13
Material characterization of human middle ear using machine-learning-based surrogate models
Arash Ebrahimian, Hossein Mohammadi, Nima Maftoon
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2024) Vol. 153, pp. 106478-106478
Open Access | Times Cited: 2
The Ground-Level Particulate Matter Concentration Estimation Based on the New Generation of FengYun Geostationary Meteorological Satellite
Lin Tian, Lin Chen, Peng Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1459-1459
Open Access | Times Cited: 6
A predictive model of indoor PM2.5 considering occupancy level in a hospital outpatient hall
Yuhe Zhou, Guangfei Yang
The Science of The Total Environment (2022) Vol. 844, pp. 157233-157233
Closed Access | Times Cited: 9
XGBoost-LSTM for Feature Selection and Predictions for the S&P 500 Financial Sector
Ruilin Hu, Tianyang Luo
Advances in Economics Management and Political Sciences (2024) Vol. 59, Iss. 1, pp. 249-257
Closed Access | Times Cited: 1
Improving Alzheimer’s classification using a modified Borda count voting method on dynamic ensemble classifiers
K. P. Muhammed Niyas, Thiyagarajan Paramasivan
Knowledge and Information Systems (2024) Vol. 66, Iss. 8, pp. 4755-4787
Closed Access | Times Cited: 1
Regional VOCs Gathering Situation Intelligent Sensing Method Based on Spatial-Temporal Feature Selection
Hongbin Dai, Guangqiu Huang, Jingjing Wang, et al.
Atmosphere (2022) Vol. 13, Iss. 3, pp. 483-483
Open Access | Times Cited: 7
Short-Term PM2.5 Concentration Changes Prediction: A Comparison of Meteorological and Historical Data
Junfeng Kang, Xinyi Zou, Tan JianLin, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11408-11408
Open Access | Times Cited: 3
Prediction of hourly PM10 concentration through a hybrid deep learning-based method
Sahar Nasabpour Molaei, Ali Salajegheh, Hassan Khosravi, et al.
Earth Science Informatics (2023) Vol. 17, Iss. 1, pp. 37-49
Closed Access | Times Cited: 2
Haze prediction method based on stacking learning
Zuhan Liu, Xuehu Liu, Kexin Zhao
Stochastic Environmental Research and Risk Assessment (2023)
Open Access | Times Cited: 2
Long Short-Term Memory Optimization Using Hybrid Sparrow Search Algorithm and Particle Swarm Optimization in Prediction of Water Level at Sluice Gates
Imam Farisi, Mardi Hardjianto
ASTONJADRO (2024) Vol. 13, Iss. 2, pp. 614-626
Open Access
A new Method for Predicting PM2.5 Concentrations in Subway Stations Based on a Multiscale Adaptive Noise Reduction Transformer -BiGRU Model and an Error Correction Method
Ding Chen, Hui Liu
Journal of Infrastructure Intelligence and Resilience (2024), pp. 100128-100128
Open Access
Challenges in Observation of Ultrafine Particles: Addressing Estimation Miscalculations and the Necessity of Temporal Trends
Tzu-Chi Lin, Pei-Te Chiueh, Ta-Chih Hsiao
Environmental Science & Technology (2024)
Open Access
Explainable artificial intelligence models for proposing mitigation strategies to combat urbanization impact on land surface temperature dynamics in Saudi Arabia
Javed Mallick, Saeed Alqadhi
Urban Climate (2024) Vol. 59, pp. 102259-102259
Closed Access
Characterization and Source Apportionment of PM in Handan—A Case Study during the COVID-19
Mushui Shu, Xiaohui Ji, Yu Wang, et al.
Atmosphere (2023) Vol. 14, Iss. 4, pp. 680-680
Open Access | Times Cited: 1
Unmasking air quality: A novel image-based approach to align public perception with pollution levels
Tzu-Chi Lin, Shih-Ya Wang, Zhi-Ying Kung, et al.
Environment International (2023) Vol. 181, pp. 108289-108289
Open Access | Times Cited: 1
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