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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:

Air quality predictions with a semi-supervised bidirectional LSTM neural network
Luo Zhang, Peng Liu, Lei Zhao, et al.
Atmospheric Pollution Research (2020) Vol. 12, Iss. 1, pp. 328-339
Closed Access | Times Cited: 134

Showing 1-25 of 134 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: 139
Machine Learning (ML) in Medicine: Review, Applications, and Challenges
Amir Masoud Rahmani, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, et al.
Mathematics (2021) Vol. 9, Iss. 22, pp. 2970-2970
Open Access | Times Cited: 122
A Survey on Active Deep Learning: From Model Driven to Data Driven
Peng Liu, Lizhe Wang, Rajiv Ranjan, et al.
ACM Computing Surveys (2022) Vol. 54, Iss. 10s, pp. 1-34
Open Access | Times Cited: 97
Air pollution prediction using LSTM deep learning and metaheuristics algorithms
Ghufran Isam Drewil, Riyadh Jabbar Al-Bahadili
Measurement Sensors (2022) Vol. 24, pp. 100546-100546
Open Access | Times Cited: 80
Air pollutant prediction based on ARIMA-WOA-LSTM model
Jun Luo, Yaping Gong
Atmospheric Pollution Research (2023) Vol. 14, Iss. 6, pp. 101761-101761
Open Access | Times Cited: 65
A CNN-BiLSTM-Attention approach for EHA degradation prediction based on time-series generative adversarial network
Zhonghai Ma, Yiwen Sun, Hui Ji, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111443-111443
Closed Access | Times Cited: 19
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
Air quality forecasting with hybrid LSTM and extended stationary wavelet transform
Yongkang Zeng, Jingjing Chen, Ning Jin, et al.
Building and Environment (2022) Vol. 213, pp. 108822-108822
Open Access | Times Cited: 64
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer
Masoud Karbasi, Mehdi Jamei, Mumtaz Ali, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107121-107121
Closed Access | Times Cited: 63
Remote Sensing Data Fusion With Generative Adversarial Networks: State-of-the-art methods and future research directions
Peng Liu, Jun Li, Lizhe Wang, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 2, pp. 295-328
Closed Access | Times Cited: 51
PM2.5 forecasting for an urban area based on deep learning and decomposition method
Nur’atiah Zaini, Lee Woen Ean, Ali Najah Ahmed, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 49
MLFF-GAN: A Multilevel Feature Fusion With GAN for Spatiotemporal Remote Sensing Images
Bingze Song, Peng Liu, Jun Li, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-16
Closed Access | Times Cited: 48
A new hybrid optimization prediction model for PM2.5 concentration considering other air pollutants and meteorological conditions
Hong Yang, Zehang Liu, Guohui Li
Chemosphere (2022) Vol. 307, pp. 135798-135798
Closed Access | Times Cited: 42
Effective Air Quality Prediction Using Reinforced Swarm Optimization and Bi-Directional Gated Recurrent Unit
Sasikumar Gurumoorthy, Aruna Kumari Kokku, Przemysław Falkowski‐Gilski, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11454-11454
Open Access | Times Cited: 37
Comparison of machine learning and deep learning techniques for the prediction of air pollution: a case study from China
Ishan Ayus, N. Natarajan, Deepak Gupta
Asian Journal of Atmospheric Environment (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 26
Forecasting of fine particulate matter based on LSTM and optimization algorithm
Nur’atiah Zaini, Ali Najah Ahmed, Lee Woen Ean, et al.
Journal of Cleaner Production (2023) Vol. 427, pp. 139233-139233
Closed Access | Times Cited: 25
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: 50
Balanced Spider Monkey Optimization with Bi-LSTM for Sustainable Air Quality Prediction
C. Aarthi, Varatharaj Jeya Ramya, Przemysław Falkowski‐Gilski, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1637-1637
Open Access | Times Cited: 22
Wind and wave energy prediction using an AT-BiLSTM model
Dalei Song, Miao Yu, Zhifeng Wang, et al.
Ocean Engineering (2023) Vol. 281, pp. 115008-115008
Closed Access | Times Cited: 22
A deep learning approach for prediction of air quality index in smart city
Adel Binbusayyis, Muhammad Attique Khan, Mohamed Mustaq Ahmed A, et al.
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 7
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: 6
Short-term air quality prediction based on EMD-transformer-BiLSTM
Jie Dong, Yaoli Zhang, Jiang Hu
Scientific Reports (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 6
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method
Fuxin Jiang, Chengyuan Zhang, Shaolong Sun, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107988-107988
Closed Access | Times Cited: 40
A hybrid model for the prediction of dissolved oxygen in seabass farming
Jianjun Guo, Jiaqi Dong, Bing Zhou, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 106971-106971
Closed Access | Times Cited: 27
Revealing Influence of Meteorological Conditions on Air Quality Prediction Using Explainable Deep Learning
Yuting Yang, Gang Mei, Stefano Izzo
IEEE Access (2022) Vol. 10, pp. 50755-50773
Open Access | Times Cited: 25
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