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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:

A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales
Fearghal O’Donncha, Yihao Hu, Paulito Palmes, et al.
Ecological Informatics (2022) Vol. 69, pp. 101687-101687
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Applications of deep learning in water quality management: A state-of-the-art review
Kok Poh Wai, Min Yan Chia, Chai Hoon Koo, et al.
Journal of Hydrology (2022) Vol. 613, pp. 128332-128332
Closed Access | Times Cited: 64
Spatiotemporal analysis of bidimensional wind speed forecasting: Development and thorough assessment of LSTM and ensemble graph neural networks on the Dutch database
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Energy (2023) Vol. 278, pp. 127852-127852
Closed Access | Times Cited: 32
Spatiotemporal Air Pollution Forecasting in Houston-TX: A Case Study for Ozone Using Deep Graph Neural Networks
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Atmosphere (2023) Vol. 14, Iss. 2, pp. 308-308
Open Access | Times Cited: 31
An ensembled method for predicting dissolved oxygen level in aquaculture environment
Dachun Feng, Qianyu Han, Longqin Xu, et al.
Ecological Informatics (2024) Vol. 80, pp. 102501-102501
Open Access | Times Cited: 12
Corrosion behavior prediction for hull steels under dynamic marine environments by jointly utilizing LSTM network and PSO-RF model
Haodi Ji, Han Wang, Qian Chen, et al.
Ocean Engineering (2024) Vol. 300, pp. 117371-117371
Closed Access | Times Cited: 8
A deep learning-based biomonitoring system for detecting water pollution using Caenorhabditis elegans swimming behaviors
Seung‐Ho Kang, In-Seon Jeong, Hyeong-Seok Lim
Ecological Informatics (2024) Vol. 80, pp. 102482-102482
Open Access | Times Cited: 7
Predictive Modeling of soil salinity integrating remote sensing and soil variables: An ensembled deep learning approach
Sana Arshad, Syed Jamil Hasan Kazmi, Endre Harsányi, et al.
Energy Nexus (2025), pp. 100374-100374
Open Access
Spatio-Temporal NDVI Prediction for Rice Crop
Anamika Dey, Somrita Sarkar, Arijit Mondal, et al.
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling
Thabang Mathonsi, Terence L. van Zyl
Forecasting (2021) Vol. 4, Iss. 1, pp. 1-25
Open Access | Times Cited: 32
Research on a multiparameter water quality prediction method based on a hybrid model
Zhiqiang Zheng, Hao Ding, Zhi Weng, et al.
Ecological Informatics (2023) Vol. 76, pp. 102125-102125
Closed Access | Times Cited: 15
Deep learning-enhanced remote sensing-integrated crop modeling for rice yield prediction
Seungtaek Jeong, Jonghan Ko, Jong-Oh Ban, et al.
Ecological Informatics (2024) Vol. 84, pp. 102886-102886
Open Access | Times Cited: 4
Research on Atlantic surface pCO2 reconstruction based on machine learning
Jiaming Liu, Jie Wang, Xun Wang, et al.
Ecological Informatics (2025), pp. 103094-103094
Open Access
Prediction Model for Newly-Added Sensors to Ocean Buoys: Leveraging Adversarial Loss and Deep Residual LSTM Architecture
Qiguang Zhu, Zhen Shen, Wenjing Qiao, et al.
Digital Signal Processing (2025), pp. 105126-105126
Closed Access
Combining Conv-LSTM and wind-wave data for enhanced sea wave forecasting in the Mediterranean Sea
Pietro Scala, Giorgio Manno, Emanuele Ingrassia, et al.
Ocean Engineering (2025) Vol. 326, pp. 120917-120917
Open Access
Modeling the complex spatio-temporal dynamics of ocean wave parameters: A hybrid PINN-LSTM approach for accurate wave forecasting
Zaharaddeeen Karami Lawal, Hayati Yassin, Daphne Teck Ching Lai, et al.
Measurement (2025), pp. 117383-117383
Open Access
Modeling of municipal waste disposal behaviors related to meteorological seasons using recurrent neural network LSTM models
Kenneth K. Adusei, Kelvin Tsun Wai Ng, Nima Karimi, et al.
Ecological Informatics (2022) Vol. 72, pp. 101925-101925
Closed Access | Times Cited: 18
Developing Spatial and Temporal Continuous Fractional Vegetation Cover Based on Landsat and Sentinel-2 Data with a Deep Learning Approach
Zihao Wang, Dan‐Xia Song, Tao He, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2948-2948
Open Access | Times Cited: 9
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort
Mrinalini Bhagawati, Sudip Paul, Laura E. Mantella, et al.
The International Journal of Cardiovascular Imaging (2024) Vol. 40, Iss. 6, pp. 1283-1303
Closed Access | Times Cited: 3
Attention-based message passing and dynamic graph convolution for spatiotemporal data imputation
Yifan Wang, Fanliang Bu, Xiaojun Lv, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Spatial Decision Support Systems with Automated Machine Learning: A Review
Richard Wen, Songnian Li
ISPRS International Journal of Geo-Information (2022) Vol. 12, Iss. 1, pp. 12-12
Open Access | Times Cited: 12
Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data
Mrinalini Bhagawati, Sudip Paul, Laura E. Mantella, et al.
Diagnostics (2024) Vol. 14, Iss. 17, pp. 1894-1894
Open Access | Times Cited: 2
Multisite evaluation of physics-informed deep learning for permafrost prediction in the Qinghai-Tibet Plateau
Yibo Liu, Youhua Ran, Xin Li, et al.
Cold Regions Science and Technology (2023) Vol. 216, pp. 104009-104009
Closed Access | Times Cited: 5
TDG4MSF: A temporal decomposition enhanced graph neural network for multivariate time series forecasting
Hao Miao, Yilin Zhang, Zefei Ning, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28254-28267
Closed Access | Times Cited: 5
Study of the evolving relationship between tourism development and cultural heritage landmarks in the eight Chengyang scenic villages in China
Shanlin Wang, Qiaoli Tian, Xiaojun Chen, et al.
Ecological Indicators (2024) Vol. 167, pp. 112702-112702
Open Access | Times Cited: 1
BATS: Bat‐aggregated time series—A python‐based toolkit for landscape‐level monitoring of free‐tailed bats via weather radar
Brian Lee, Alex Rich, Robert H. Diehl, et al.
Methods in Ecology and Evolution (2024) Vol. 15, Iss. 12, pp. 2209-2215
Open Access | Times Cited: 1
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