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:

Multivariate Air Quality Forecasting With Nested Long Short Term Memory Neural Network
Ning Jin, Yongkang Zeng, Ke Yan, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 12, pp. 8514-8522
Closed Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Machine learning algorithms to forecast air quality: a survey
Manuel Méndez, Mercedes G. Merayo, Manuel Núñez
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10031-10066
Open Access | Times Cited: 135
A blockchain and IoT-based lightweight framework for enabling information transparency in supply chain finance
Lingling Guo, Jingjing Chen, Shihan Li, et al.
Digital Communications and Networks (2022) Vol. 8, Iss. 4, pp. 576-587
Open Access | Times Cited: 69
A systematic survey of air quality prediction based on deep learning
Zhen Zhang, Shiqing Zhang, Caimei Chen, et al.
Alexandria Engineering Journal (2024) Vol. 93, pp. 128-141
Open Access | Times Cited: 15
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 systematic literature review of deep learning neural network for time series air quality forecasting
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 4, pp. 4958-4990
Closed Access | Times Cited: 79
Deep Learning Enhanced Solar Energy Forecasting with AI-Driven IoT
Hangxia Zhou, Qian Liu, Ke Yan, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 68
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction
Hamid Nasiri, Mohammad Mehdi Ebadzadeh
Neurocomputing (2022) Vol. 507, pp. 292-310
Closed Access | Times Cited: 65
Comparative study on deep transfer learning strategies for cross-system and cross-operation-condition building energy systems fault diagnosis
Guannan Li, Liang Chen, Jiangyan Liu, et al.
Energy (2022) Vol. 263, pp. 125943-125943
Closed Access | Times Cited: 59
Distributed LSTM-GCN-Based Spatial–Temporal Indoor Temperature Prediction in Multizone Buildings
Xiwen Wang, Xinli Wang, Xiaohong Yin, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 482-491
Open Access | Times Cited: 22
Air Quality Prediction Based on Integrated Dual LSTM Model
Hongqian Chen, Mengxi Guan, Hui Li
IEEE Access (2021) Vol. 9, pp. 93285-93297
Open Access | Times Cited: 46
Forecasting turning points in stock price by applying a novel hybrid CNN-LSTM-ResNet model fed by 2D segmented images
Pouya Khodaee, Akbar Esfahanipour, Hasan Taheri
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105464-105464
Closed Access | Times Cited: 36
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
A Novel Deep Learning Approach for Anomaly Detection of Time Series Data
Zhiwei Ji, Jiaheng Gong, Jiarui Feng
Scientific Programming (2021) Vol. 2021, pp. 1-11
Open Access | Times Cited: 35
A Novel Multivariate Time-Series Anomaly Detection Approach Using an Unsupervised Deep Neural Network
Peihai Zhao, Xiaoyan Chang, Mimi Wang
IEEE Access (2021) Vol. 9, pp. 109025-109041
Open Access | Times Cited: 34
A Smart Predict-then-Optimize method for dynamic green bike relocation in the free-floating system
Ximing Chang, Jianjun Wu, Huijun Sun, et al.
Transportation Research Part C Emerging Technologies (2023) Vol. 153, pp. 104220-104220
Closed Access | Times Cited: 15
Multiple households energy consumption forecasting using consistent modeling with privacy preservation
Fan Yang, Ke Yan, Ning Jin, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101846-101846
Closed Access | Times Cited: 13
An Approach towards Forecasting Time Series Air Pollution Data Using LSTM-based Auto-Encoders
Mohamed Shakir, U Kumaran, Dr.N. Rakesh
Journal of Internet Services and Information Security (2024) Vol. 14, Iss. 3, pp. 32-46
Open Access | Times Cited: 5
Air quality forecasting using a spatiotemporal hybrid deep learning model based on VMD–GAT–BiLSTM
Xiaohu Wang, Suo Zhang, Yi‐Ping Phoebe Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Medium-term water consumption forecasting based on deep neural networks
Adrián Gil Gamboa, Pilar Paneque, Óscar Trull, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123234-123234
Open Access | Times Cited: 4
Air Quality Prediction Using a U-Net Inspired 1D-CNN with Attention Mechanisms

Global NEST Journal (2025)
Closed Access
Enhancing urban air quality prediction using time-based-spatial forecasting framework
Shrikar Jayaraman, T. Nathezhtha, S. Abirami, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Local vs regional neural air pollution forecasting models
Matteo Sangiorgio, Giorgio Guariso
IFAC Journal of Systems and Control (2025), pp. 100298-100298
Open Access
Multivariate Air Quality Forecasting with Residual Nested LSTM Neural Network Based on DSWT
Weijian Li, Yiwen Zhang, Yaoyao Liu
Sustainability (2025) Vol. 17, Iss. 5, pp. 2244-2244
Open Access
Enhancing Air Quality Monitoring: A Brief Review of Federated Learning Advances
Sara Yarham, Mehran Behjati, Haider A. H. Alobaidy, et al.
Lecture notes in networks and systems (2025), pp. 489-501
Closed Access
Federated learning approach for human activity recognition in online examination environment
Swarna Priya Ramu, Ram Mohana Reddy Guddeti, Biju R. Mohan
Multimedia Tools and Applications (2025)
Closed Access
Page 1 - Next Page

Scroll to top