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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 deep learning technology for PM2.5 air quality forecasting
Zhendong Zhang, Yongkang Zeng, Ke Yan
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 29, pp. 39409-39422
Closed Access | Times Cited: 110

Showing 51-75 of 110 citing articles:

ACBiGRU-DAO: Attention Convolutional Bidirectional Gated Recurrent Unit-based Dynamic Arithmetic Optimization for Air Quality Prediction
Vinoth Panneerselvam, T. Revathi
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 37, pp. 86804-86820
Closed Access | Times Cited: 6
A Hybrid Model for Air Quality Prediction Based on Data Decomposition
Shurui Fan, Dongxia Hao, Yu Feng, et al.
Information (2021) Vol. 12, Iss. 5, pp. 210-210
Open Access | Times Cited: 15
Accurate Multi-Site Daily-Ahead Multi-Step PM2.5 Concentrations Forecasting Using Space-Shared CNN-LSTM
Xiaorui Shao, Chang Soo Kim
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 3, pp. 5143-5160
Open Access | Times Cited: 15
Correlation-split and Recombination-sort Interaction Networks for air quality forecasting
Yigui Feng, Yemei Qin, Shen Zhao
Applied Soft Computing (2023) Vol. 145, pp. 110544-110544
Closed Access | Times Cited: 5
An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications
Hugo Vinicius Bitencourt, Omid Orang, Luiz Augusto Facury de Souza, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 13, pp. 9407-9420
Closed Access | Times Cited: 8
An ensemble multi-scale framework for long-term forecasting of air quality
Shan Jiang, Zu‐Guo Yu, Vo Anh, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 1
Open Access | Times Cited: 1
Air quality forecasting‐driven cloud resource allocation for sustainable energy consumption: An ensemble classifier approach
M. Kandan, K. Jayasakthi Velmurugan, P. Gururama Senthilvel, et al.
Transactions on Emerging Telecommunications Technologies (2024) Vol. 35, Iss. 2
Closed Access | Times Cited: 1
Multiple-Input–Multiple-Output Randomized Fuzzy Cognitive Map Method for High-Dimensional Time Series Forecasting
Omid Orang, Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 6, pp. 3703-3715
Closed Access | Times Cited: 1
Research on CC-SSBLS Model-Based Air Quality Index Prediction
Lin Wang, Yibing Wang, J.J. Chen, et al.
Atmosphere (2024) Vol. 15, Iss. 5, pp. 613-613
Open Access | Times Cited: 1
Daily PM2.5 concentration prediction based on variational modal decomposition and deep learning for multi-site temporal and spatial fusion of meteorological factors
Xinrong Xie, Zhaocai Wang, Manli Xu, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 9
Closed Access | Times Cited: 1
Current Situation and Prospect of Geospatial AI in Air Pollution Prediction
Chengqian Wu, Siyu Lu, Jiawei Tian, et al.
Atmosphere (2024) Vol. 15, Iss. 12, pp. 1411-1411
Open Access | Times Cited: 1
Air pollution prediction system using XRSTH-LSTM algorithm
Harshit Srivastava, Santos Kumar Das
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 60, pp. 125313-125327
Closed Access | Times Cited: 4
A wavelet enhanced approach with ensemble based deep learning approach to detect air pollution
Zaheer Abbas, Princess Raina
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 17531-17555
Closed Access | Times Cited: 4
An enhanced interval-valued PM2.5 concentration forecasting model with attention-based feature extraction and self-adaptive combination technology
Jiaming Zhu, Zheng Peng, Niu Li-li, et al.
Expert Systems with Applications (2024) Vol. 264, pp. 125867-125867
Closed Access | Times Cited: 1
A novel hybrid model for air quality prediction via dimension reduction and error correction techniques
Huang Rui, Rui Hu, Huayou Chen
Environmental Monitoring and Assessment (2024) Vol. 197, Iss. 1
Closed Access | Times Cited: 1
Adaptive Retinex image defogging algorithm based on the depth of field information
Qingqing Gao, Xiangping Wu, Ke Wang, et al.
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (2022), pp. 1-7
Closed Access | Times Cited: 7
A hybrid neuro-fuzzy prediction system with butterfly optimization algorithm for PM2.5 forecasting
Samit Bhanja, Santanu Metia, Abhishek Das
Microsystem Technologies (2022) Vol. 28, Iss. 12, pp. 2577-2592
Closed Access | Times Cited: 6
Air quality prediction for Chengdu based on long short-term memory neural network with improved jellyfish search optimizer
Qixian Song, Jing Zou, Min Xu, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 23, pp. 64416-64442
Closed Access | Times Cited: 3
Air Quality Index Prediction in Six Major Chinese Urban Agglomerations: A Comparative Study of Single Machine Learning Model, Ensemble Model, and Hybrid Model
Binzhe Zhang, Min Duan, Yufan Sun, et al.
Atmosphere (2023) Vol. 14, Iss. 10, pp. 1478-1478
Open Access | Times Cited: 3
A Novel Hybrid Model for PM2.5 Concentration Forecasting Based on Secondary Decomposition Ensemble and Weight Combination Optimization
Yuan Huang, Xiaoyu Zhang, Yanxia Li
IEEE Access (2023) Vol. 11, pp. 119748-119765
Open Access | Times Cited: 3
Creating Ensemble Classifiers with Information Entropy Diversity Measure
Jiangbo Zou, Xiaokang Fu, Lingling Guo, et al.
Security and Communication Networks (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 7
Consideration of terrain features from satellite imagery in machine learning of basic wind speed
Donghyeok Lee, Seung Yong Jeong, Thomas H.‐K. Kang
Building and Environment (2022) Vol. 213, pp. 108866-108866
Closed Access | Times Cited: 5
Signal Interference Detection Algorithm Based on Bidirectional Long Short-Term Memory Neural Network
Ningbo Xiao, Zuxun Song
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 5
Short-Term AQI Forecasts using Machine/Deep Learning Models for San Francisco, CA
Barathwaja Subash Chandar, Prashanth Rajagopalan, Prakash Ranganathan
2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) (2023), pp. 0402-0411
Closed Access | Times Cited: 2
A Novel Hybrid Method to Predict PM2.5 Concentration Based on the SWT-QPSO-LSTM Hybrid Model
Meng Du, Yixin Chen, Yang Liu, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 3

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