Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Air pollution forecasting based on attention‐based LSTM neural network and ensemble learning
Duen‐Ren Liu, Shin‐Jye Lee, Yang Huang, et al.
Expert Systems (2019) Vol. 37, Iss. 3
Closed Access | Times Cited: 75

Showing 1-25 of 75 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: 60
Air Pollution Prediction Based On Optimized Deep Learning Neural Networks: PSO-LSTM
Ming Chen, Pengcheng Xu, Zepeng Liu, et al.
Atmospheric Pollution Research (2025), pp. 102413-102413
Closed Access | Times Cited: 2
A new financial data forecasting model using genetic algorithm and long short-term memory network
Yusheng Huang, Yelin Gao, Yan Gan, et al.
Neurocomputing (2020) Vol. 425, pp. 207-218
Closed Access | Times Cited: 103
A Deep Neural Network Model for Speaker Identification
Feng Ye, Jun Yang
Applied Sciences (2021) Vol. 11, Iss. 8, pp. 3603-3603
Open Access | Times Cited: 90
Air pollution forecasting application based on deep learning model and optimization algorithm
Azim Heydari, Meysam Majidi Nezhad, Davide Astiaso Garcia, et al.
Clean Technologies and Environmental Policy (2021) Vol. 24, Iss. 2, pp. 607-621
Open Access | Times Cited: 89
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks
Jovan Kalajdjieski, Eftim Zdravevski, Roberto Corizzo, et al.
Remote Sensing (2020) Vol. 12, Iss. 24, pp. 4142-4142
Open Access | Times Cited: 87
Deep-AIR: A Hybrid CNN-LSTM Framework for Fine-Grained Air Pollution Estimation and Forecast in Metropolitan Cities
Qi Zhang, Yang Han, Victor O. K. Li, et al.
IEEE Access (2022) Vol. 10, pp. 55818-55841
Open Access | Times Cited: 46
A watershed water quality prediction model based on attention mechanism and Bi-LSTM
Qiang Zhang, Ruiqi Wang, Ying Qi, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 50, pp. 75664-75680
Open Access | Times Cited: 42
Cooperative simultaneous inversion of satellite-based real-time PM2.5 and ozone levels using an improved deep learning model with attention mechanism
Xing Yan, Chen Zuo, Zhanqing Li, et al.
Environmental Pollution (2023) Vol. 327, pp. 121509-121509
Open Access | Times Cited: 22
Comparative analysis of Air Quality Index prediction using deep learning algorithms
Ankita Mishra, Yogesh Gupta
Spatial Information Research (2023) Vol. 32, Iss. 1, pp. 63-72
Closed Access | Times Cited: 22
Development of technology predicting based on EEMD-GRU: An empirical study of aircraft assembly technology
Huyi Zhang, Lijie Feng, Jinfeng Wang, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123208-123208
Closed Access | Times Cited: 10
A New Hybrid Forecasting Model Based on Dual Series Decomposition with Long-Term Short-Term Memory
Hao Tang, Uzair Aslam Bhatti, Jingbing Li, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 18
An extensive investigation on leveraging machine learning techniques for high-precision predictive modeling of CO 2 emission
Van Giao Nguyen, Xuan Quang Duong, Lan Huong Nguyen, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 45, Iss. 3, pp. 9149-9177
Closed Access | Times Cited: 15
Dynamic ensemble pruning algorithms fusing meta-learning with heuristic parameter optimization for time series prediction
Xin Shen, Qun Dai, Gangliang Zhu, et al.
Expert Systems with Applications (2023) Vol. 225, pp. 120148-120148
Closed Access | Times Cited: 14
Multi-Horizon Air Pollution Forecasting with Deep Neural Networks
Mirche Arsov, Eftim Zdravevski, Petre Lameski, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1235-1235
Open Access | Times Cited: 31
Application of RR-XGBoost combined model in data calibration of micro air quality detector
Bing Liu, Xianghua Tan, Yueqiang Jin, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 31
Use of State-of-Art Machine Learning Technologies for Forecasting Offshore Wind Speed, Wave and Misalignment to Improve Wind Turbine Performance
Montserrat Sacie, Matilde Santos, R. López, et al.
Journal of Marine Science and Engineering (2022) Vol. 10, Iss. 7, pp. 938-938
Open Access | Times Cited: 19
Air Pollution Prediction Based on Discrete Wavelets and Deep Learning
Ying Shu, Chengfu Ding, Lingbing Tao, et al.
Sustainability (2023) Vol. 15, Iss. 9, pp. 7367-7367
Open Access | Times Cited: 12
Using Artificial Intelligence as a Predictive Model of Atmospheric Air Pollutant Distribution
Dmitry M. Gusev, Pavel Melnikov, Valeria Shashenko
Ecology and Industry of Russia (2025) Vol. 29, Iss. 2, pp. 56-59
Closed Access
Consequential factors of Big Data's Analytics Capability: how firms use data in the competitive scenario
Luis Hernan Contreras Pinochet, Guilherme de Camargo Belli Amorim, Durval Lucas Júnior, et al.
Journal of Enterprise Information Management (2021) Vol. 34, Iss. 5, pp. 1406-1428
Closed Access | Times Cited: 25
Updated Prediction of Air Quality Based on Kalman-Attention-LSTM Network
Hao Zhou, Tao Wang, Hongchao Zhao, et al.
Sustainability (2022) Vol. 15, Iss. 1, pp. 356-356
Open Access | Times Cited: 16
Introducing high-order response surface method for improving scour depth prediction downstream of weirs
Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, et al.
Applied Water Science (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 3
A comparison of statistical and machine-learning approaches for spatiotemporal modeling of nitrogen dioxide across Switzerland
Tze-Li Liu, Benjamin Flückiger, Kees de Hoogh
Atmospheric Pollution Research (2022) Vol. 13, Iss. 12, pp. 101611-101611
Open Access | Times Cited: 15
Study on turbidity prediction method of reservoirs based on long short term memory neural network
Chenyu Song, Haiping Zhang
Ecological Modelling (2020) Vol. 432, pp. 109210-109210
Closed Access | Times Cited: 22
A Dynamic Emergency Decision-Making Method Based on Group Decision Making with Uncertainty Information
Jing Zheng, Ying‐Ming Wang, Kai Zhang, et al.
International Journal of Disaster Risk Science (2020) Vol. 11, Iss. 5, pp. 667-679
Open Access | Times Cited: 22
Page 1 - Next Page

Scroll to top