215 citations to 10.1109/ACCESS.2019.2921578 (Crossref Cited-By Service)
  1. Tinku Singh, Nikhil Sharma, Satakshi, Manish Kumar, “Analysis and forecasting of air quality index based on satellite data”, Inhalation Toxicology, 35, no. 1-2, 2023, 24  crossref
  2. Hongye Zhou, Feng Zhang, Zhenhong Du, Renyi Liu, “A theory-guided graph networks based PM2.5 forecasting method”, Environmental Pollution, 293, 2022, 118569  crossref
  3. Krzysztof Lalik, Jakub Kozak, Szymon Podlasek, Mateusz Kozek, “Self-Powered Wireless Sensor Matrix for Air Pollution Detection with a Neural Predictor”, Energies, 15, no. 6, 2022, 1962  crossref
  4. Wenkai Xu, Fengchen Fu, Qingqing Zhang, Lei Wang, “A Deep Learning-Based Multi-objective Optimization Model for PM2.5 Prediction”, Int J Comput Intell Syst, 16, no. 1, 2023, 141  crossref
  5. Bhimavarapu Usharani, M. Sreedevi, 210, Smart Technologies in Data Science and Communication, 2021, 107  crossref
  6. Choujun Zhan, Wei Jiang, Hu Min, Ying Gao, C. K. Tse, “Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age”, Neural Comput & Applic, 35, no. 9, 2023, 6457  crossref
  7. Mingyang Pan, Hainan Zhou, Jiayi Cao, Yisai Liu, Jiangling Hao, Shaoxi Li, Chi-Hua Chen, “Water Level Prediction Model Based on GRU and CNN”, IEEE Access, 8, 2020, 60090  crossref
  8. Shaoqian Pei, Hui Qin, Liqiang Yao, Yongqi Liu, Chao Wang, Jianzhong Zhou, “Multi-Step Ahead Short-Term Load Forecasting Using Hybrid Feature Selection and Improved Long Short-Term Memory Network”, Energies, 13, no. 16, 2020, 4121  crossref
  9. Nathalia Celis, Alejandro Casallas, Ellie Anne López-Barrera, Hermes Martínez, Carlos A. Peña Rincón, Ricardo Arenas, Camilo Ferro, “Design of an early alert system for PM2.5 through a stochastic method and machine learning models”, Environmental Science & Policy, 127, 2022, 241  crossref
  10. Raquel Espinosa, José Palma, Fernando Jiménez, Joanna Kamińska, Guido Sciavicco, Estrella Lucena-Sánchez, “A time series forecasting based multi-criteria methodology for air quality prediction”, Applied Soft Computing, 113, 2021, 107850  crossref
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