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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:

TLT: Recurrent fine-tuning transfer learning for water quality long-term prediction
Peng Lin, Huan Wu, Min Gao, et al.
Water Research (2022) Vol. 225, pp. 119171-119171
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Application of Machine Learning in Water Resources Management: A Systematic Literature Review
Fatemeh Ghobadi, Doosun Kang
Water (2023) Vol. 15, Iss. 4, pp. 620-620
Open Access | Times Cited: 73
Interpretable prediction, classification and regulation of water quality: A case study of Poyang Lake, China
Zhiyuan Yao, Zhaocai Wang, Jinghan Huang, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175407-175407
Closed Access | Times Cited: 20
Multi-sensor and multi-platform retrieval of water chlorophyll a concentration in karst wetlands using transfer learning frameworks with ASD, UAV, and Planet CubeSate reflectance data
Bolin Fu, Sunzhe Li, Zhinan Lao, et al.
The Science of The Total Environment (2023) Vol. 901, pp. 165963-165963
Closed Access | Times Cited: 31
A coupled model to improve river water quality prediction towards addressing non-stationarity and data limitation
Shengyue Chen, Jinliang Huang, Peng Wang, et al.
Water Research (2023) Vol. 248, pp. 120895-120895
Closed Access | Times Cited: 22
Long-term streamflow forecasting in data-scarce regions: Insightful investigation for leveraging satellite-derived data, Informer architecture, and concurrent fine-tuning transfer learning
Fatemeh Ghobadi, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Doosun Kang
Journal of Hydrology (2024) Vol. 631, pp. 130772-130772
Closed Access | Times Cited: 14
Robust remote sensing retrieval of key eutrophication indicators in coastal waters based on explainable machine learning
Liudi Zhu, Tingwei Cui, A Runa, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 211, pp. 262-280
Closed Access | Times Cited: 13
Interpretable CEEMDAN-FE-LSTM-transformer hybrid model for predicting total phosphorus concentrations in surface water
Jiefu Yao, Shuai Chen, Xiaohong Ruan
Journal of Hydrology (2024) Vol. 629, pp. 130609-130609
Closed Access | Times Cited: 12
A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China
Jinjie Fang, Linshan Yang, Xiaohu Wen, et al.
Hydrology Research (2024) Vol. 55, Iss. 2, pp. 180-204
Open Access | Times Cited: 10
A novel machine learning-based framework for the water quality parameters prediction using hybrid long short-term memory and locally weighted scatterplot smoothing methods
Ana Dodig, Elisa Ricci, Goran Kvaščev, et al.
Journal of Hydroinformatics (2024) Vol. 26, Iss. 5, pp. 1059-1079
Open Access | Times Cited: 8
A novel interval decomposition correlation particle swarm optimization-extreme learning machine model for short-term and long-term water quality prediction
Songhua Huan
Journal of Hydrology (2023) Vol. 625, pp. 130034-130034
Closed Access | Times Cited: 21
Deep learning in water protection of resources, environment, and ecology: achievement and challenges
Xiaohua Fu, Jie Jiang, Xie Wu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 10, pp. 14503-14536
Closed Access | Times Cited: 6
Which riverine water quality parameters can be predicted by meteorologically-driven deep learning?
Huang Sheng, Yueling Wang, Jun Xia
The Science of The Total Environment (2024) Vol. 946, pp. 174357-174357
Closed Access | Times Cited: 6
Research on Image Classification and Retrieval Using Deep Learning with Attention Mechanism on Diaspora Chinese Architectural Heritage in Jiangmen, China
Le Gao, Yanqing Wu, Tian Yang, et al.
Buildings (2023) Vol. 13, Iss. 2, pp. 275-275
Open Access | Times Cited: 13
Transfer learning in environmental data-driven models: A study of ozone forecast in the Alpine region
Matteo Sangiorgio, Giorgio Guariso
Environmental Modelling & Software (2024) Vol. 177, pp. 106048-106048
Open Access | Times Cited: 5
Enhanced forecasting of chlorophyll-a concentration in coastal waters through integration of Fourier analysis and Transformer networks
Xiaoyao Sun, Danyang Yan, Sensen Wu, et al.
Water Research (2024) Vol. 263, pp. 122160-122160
Closed Access | Times Cited: 5
A novel parallel feature extraction-based multibatch process quality prediction method with application to a hot rolling mill process
Kai Zhang, Xiaowen Zhang, Kaixiang Peng
Journal of Process Control (2024) Vol. 135, pp. 103166-103166
Closed Access | Times Cited: 4
Predicting water quality in municipal water management systems using a hybrid deep learning model
Wenxian Luo, Leijun Huang, Jiabin Shu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108420-108420
Closed Access | Times Cited: 4
Attention-based Deep learning Models for Predicting Anomalous Shock of Wastewater Treatment Plants
Yituo Zhang, Jihong Wang, Chaolin Li, et al.
Water Research (2025) Vol. 275, pp. 123192-123192
Closed Access
Transformer Networks and Loss with Punishment for Optimized Management of Urban Water Supply System
Yuqi Wang, Hongcheng Wang, J. Chen, et al.
ACS ES&T Water (2025)
Closed Access
Multi-step ahead forecasting of daily streamflow based on the transform-based deep learning model under different scenarios
Miao He, Xian Xu, Shaofei Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Predicting the Evolution of Extreme Water Levels With Long Short‐Term Memory Station‐Based Approximated Models and Transfer Learning Techniques
Samuel Daramola, David F. Muñoz, Paúl Muñoz, et al.
Water Resources Research (2025) Vol. 61, Iss. 3
Open Access
Combining POA-VMD for multi-machine learning methods to predict ammonia nitrogen in the largest freshwater lake in China (Poyang Lake)
Chengming Luo, Xihua Wang, Y. Jun Xu, et al.
Journal of Water Process Engineering (2025) Vol. 72, pp. 107511-107511
Closed Access
An improved graph neural network integrating indicator attention and spatio-temporal correlation for dissolved oxygen prediction
Fei Ding, Shilong Hao, Mingcen Jiang, et al.
Ecological Informatics (2025), pp. 103126-103126
Open Access
Deep transfer learning for spatiotemporal mapping of PM2.5 nitrate across China: Addressing small data challenges in environmental machine learning
Xi Zheng, Hai-Yan Meng, Zixiang Zhao, et al.
Journal of Hazardous Materials (2025), pp. 138206-138206
Closed Access
A long-term water quality prediction model for marine ranch based on time-graph convolutional neural network
Dashe Li, Weijie Zhao, Jingzhe Hu, et al.
Ecological Indicators (2023) Vol. 154, pp. 110782-110782
Open Access | Times Cited: 9
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