Standout Papers

A novel spatiotemporal convolutional long short-term neural network for air pollution predi... 2017 2026 2020 2023 443
  1. A novel spatiotemporal convolutional long short-term neural network for air pollution prediction (2018)
    Congcong Wen, Shufu Liu et al. The Science of The Total Environment
  2. Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation (2017)
    Li Xiang, Ling Peng et al. Environmental Pollution

Immediate Impact

56 standout
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Citing Papers

Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City
2025 Standout
Predicting Chlorophyll-a Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks
2025 Standout
20 intermediate papers

Works of Xiaojing Yao being referenced

A novel spatiotemporal convolutional long short-term neural network for air pollution prediction
2018 Standout
Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation
2017 Standout

Author Peers

Author Last Decade Papers Cites
Xiaojing Yao 175 551 104 757 249 32 1.3k
Ling Peng 202 653 88 957 309 41 1.6k
Tianhe Chi 249 678 101 965 309 48 1.6k
Jun Ma 237 701 23 929 349 37 1.4k
Yuan Hu 197 650 24 950 313 62 1.5k
Feifeng Jiang 223 284 28 510 190 35 1.2k
Harri Niska 108 236 47 396 162 22 1.2k
Hamed Karimian 288 658 21 759 241 31 1.2k
Saverio De Vito 73 368 43 602 133 56 1.3k
Qing-Chang Lu 195 373 21 331 222 68 1.6k
Shengdong Du 97 205 171 327 136 30 1.4k

All Works

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2026