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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:

Monthly-scale hydro-climatic forecasting and climate change impact evaluation based on a novel DCNN-Transformer network
Haitao Yang, Zhizheng Zhang, Xi Liu, et al.
Environmental Research (2023) Vol. 236, pp. 116821-116821
Closed Access | Times Cited: 12

Showing 12 citing articles:

DTTR: Encoding and decoding monthly runoff prediction model based on deep temporal attention convolution and multimodal fusion
Wenchuan Wang, Wei-can Tian, Xiao-xue Hu, et al.
Journal of Hydrology (2024) Vol. 643, pp. 131996-131996
Closed Access | Times Cited: 15
Advancing climate-resilient flood mitigation: Utilizing transformer-LSTM for water level forecasting at pumping stations
Pu-Yun Kow, Jia-Yi Liou, Ming-Ting Yang, et al.
The Science of The Total Environment (2024) Vol. 927, pp. 172246-172246
Closed Access | Times Cited: 14
Probing the limit of hydrologic predictability with the Transformer network
Jiangtao Liu, Yuchen Bian, Kathryn Lawson, et al.
Journal of Hydrology (2024) Vol. 637, pp. 131389-131389
Open Access | Times Cited: 14
Advancing real-time error correction of flood forecasting based on the hydrologic similarity theory and machine learning techniques
Peng Shi, Hongshi Wu, Simin Qu, et al.
Environmental Research (2024) Vol. 246, pp. 118533-118533
Closed Access | Times Cited: 6
EKLT: Kolmogorov-Arnold attention-driven LSTM with transformer model for river water level prediction
Dongfeng Ren, Qian Hu, Tengda Zhang
Journal of Hydrology (2024), pp. 132430-132430
Open Access | Times Cited: 4
Study on runoff forecasting and error correction driven by atmosphere–ocean-land dataset
Xinyu Chang, Jun Guo, Yi Liu, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125744-125744
Closed Access | Times Cited: 3
Assessing current and future available resources to supply urban water demands using a high-resolution SWAT model coupled with recurrent neural networks and validated through the SIMPA model in karstic Mediterranean environments
Antonio Jódar-Abellán, Miguel Ángel Pardo Picazo, Seyed Babak Haji Seyed Asadollah, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 36, pp. 49116-49140
Open Access | Times Cited: 2
The response of non-point source pollution to climate change in an orchard-dominant coastal watershed
Yiwen Han, Zhong Liu, Yafei Chen, et al.
Environmental Research (2024) Vol. 259, pp. 119515-119515
Closed Access | Times Cited: 1
The effects of environmental evolution on runoff and hydrological health variations in the upper Shule River, Northwest China
Ling Jia, Zuirong Niu
CATENA (2024) Vol. 246, pp. 108468-108468
Closed Access | Times Cited: 1
Eklt: Kolmogorov-Arnold Attention-Driven Lstm with Transformer Model for River Water Level Prediction
Dongfeng Ren, Qian Hu, Tengda Zhang
(2024)
Closed Access
Analyzing watershed system state through runoff complexity and driver interactions using multiscale entropy and deep learning
Xintong Liu, Hongrui Zhao
Ecological Indicators (2024) Vol. 168, pp. 112779-112779
Open Access
Combining Physical Hydrological Model with Explainable Machine Learning Methods to Enhance Water Balance Assessment in Glacial River Basins
Ruibiao Yang, Jinglu Wu, Guojing Gan, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3699-3699
Open Access
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