Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 multiscale long short-term memory model with attention mechanism for improving monthly precipitation prediction
Lizhi Tao, Xinguang He, Jiajia Li, et al.
Journal of Hydrology (2021) Vol. 602, pp. 126815-126815
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Monthly climate prediction using deep convolutional neural network and long short-term memory
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Prediction of significant wave height in hurricane area of the Atlantic Ocean using the Bi-LSTM with attention model
Qin-Rui Luo, Hang Xu, Long-Hu Bai
Ocean Engineering (2022) Vol. 266, pp. 112747-112747
Closed Access | Times Cited: 43
Data-driven multi-step prediction and analysis of monthly rainfall using explainable deep learning
Renfei He, Limao Zhang, Alvin Wei Ze Chew
Expert Systems with Applications (2023) Vol. 235, pp. 121160-121160
Closed Access | Times Cited: 38
An explainable multiscale LSTM model with wavelet transform and layer-wise relevance propagation for daily streamflow forecasting
Lizhi Tao, Zhichao Cui, Yufeng He, et al.
The Science of The Total Environment (2024) Vol. 929, pp. 172465-172465
Closed Access | Times Cited: 12
A Novel Double Machine Learning Strategy for Producing High‐Precision Multi‐Source Merging Precipitation Estimates Over the Tibetan Plateau
Yi Lyu, Bin Yong
Water Resources Research (2024) Vol. 60, Iss. 4
Open Access | Times Cited: 11
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Qiutong Yu, Bryan A. Tolson, Hongren Shen, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 9, pp. 2107-2122
Open Access | Times Cited: 10
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Zhong-kai Feng, J. Zhang, Wen-jing Niu
Applied Soft Computing (2024), pp. 112352-112352
Closed Access | Times Cited: 8
Urban real-time rainfall-runoff prediction using adaptive SSA-decomposition with dual attention
Yuan Tian, Weiming Fu, Yi Xiang, et al.
Journal of Hydrology (2025), pp. 132701-132701
Closed Access | Times Cited: 1
Long-Short Term Memory Technique for Monthly Rainfall Prediction in Thale Sap Songkhla River Basin, Thailand
Nureehan Salaeh, Pakorn Ditthakit, Sirimon Pinthong, et al.
Symmetry (2022) Vol. 14, Iss. 8, pp. 1599-1599
Open Access | Times Cited: 28
Integrating fluid–solid coupling domain knowledge with deep learning models: An automatic and interpretable diagnostic system for the silting disease of drainage pipelines
Hongyuan Fang, Zhaoyang Zhang, Danyang Di, et al.
Tunnelling and Underground Space Technology (2023) Vol. 142, pp. 105386-105386
Closed Access | Times Cited: 14
Enhanced streamflow forecasting using attention-based neural network models: a comparative study in MOPEX basins
Abdullahi Uwaisu Muhammad, Tasiu Muazu, Haihua Ying, et al.
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 4, pp. 5717-5734
Closed Access | Times Cited: 5
Revolutionizing the Future of Hydrological Science: Impact of Machine Learning and Deep Learning amidst Emerging Explainable AI and Transfer Learning
Rajib Maity, Aman Srivastava, Subharthi Sarkar, et al.
Applied Computing and Geosciences (2024) Vol. 24, pp. 100206-100206
Open Access | Times Cited: 5
A stochastic weather generator based framework for generating ensemble sub-monthly precipitation for streamflow prediction
Lu Yang, Jie Chen, XC Zhang, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102186-102186
Closed Access
MACHINE LEARNING APPROACH ON INPUT VARIABLE SELECTION FOR MONTHLY RAINFALL PREDICTION CONSIDERING TELECONNECTIONS
Sirada JONGWATTANAPAIBOON, Sunmin Kim, Yasuto Tachikawa
Journal of JSCE (2025) Vol. 13, Iss. 2, pp. n/a-n/a
Open Access
Rainfall and streamflow variability in North Benin, West Africa, and its multiscale association with climate teleconnections
Orou Moctar Ganni Mampo, K. F. Guedje, Bruno Merz, et al.
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102319-102319
Closed Access
Contextual Sa-Attention Convolutional LSTM for Precipitation Nowcasting: A Spatiotemporal Sequence Forecasting View
Taisong Xiong, Jianxing He, Hao Wang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 12479-12491
Open Access | Times Cited: 32
An automatic and integrated self-diagnosing system for the silting disease of drainage pipelines based on SSAE-TSNE and MS-LSTM
Danyang Di, Dianchang Wang, Hongyuan Fang, et al.
Tunnelling and Underground Space Technology (2023) Vol. 136, pp. 105076-105076
Closed Access | Times Cited: 11
Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High‐Fidelity and Physics‐Agnostic Models
Vinh Ngoc Tran, V. Y. Ivanov, Donghui Xu, et al.
Geophysical Research Letters (2023) Vol. 50, Iss. 17
Open Access | Times Cited: 9
A novel optimization rainfall coupling model based on stepwise decomposition technique
Zhiwen Zheng, Xianqi Zhang, Qiuwen Yin, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Prediction of superheated steam temperature for thermal power plants using a novel integrated method based on the hybrid model and attention mechanism
Peng Wang, Fengqi Si, Yue Cao, et al.
Applied Thermal Engineering (2021) Vol. 203, pp. 117899-117899
Closed Access | Times Cited: 20
Prediction of shale gas horizontal wells productivity after volume fracturing using machine learning – an LSTM approach
Xianchao Chen, Li Jiang, Ping Gao, et al.
Petroleum Science and Technology (2022) Vol. 40, Iss. 15, pp. 1861-1877
Closed Access | Times Cited: 15
A Case Study: Groundwater Level Forecasting of the Gyorae Area in Actual Practice on Jeju Island Using Deep-Learning Technique
Deokhwan Kim, Cheol-Hee Jang, Jeonghyeon Choi, et al.
Water (2023) Vol. 15, Iss. 5, pp. 972-972
Open Access | Times Cited: 8
Runoff Prediction Based on Dynamic Spatiotemporal Graph Neural Network
Shuai Yang, Yueqin Zhang, Zehua Zhang
Water (2023) Vol. 15, Iss. 13, pp. 2463-2463
Open Access | Times Cited: 7
Monthly Runoff Forecasting Using Particle Swarm Optimization Coupled with Flower Pollination Algorithm-Based Deep Belief Networks: A Case Study in the Yalong River Basin
Zhaoxin Yue, Huaizhi Liu, Hui Zhou
Water (2023) Vol. 15, Iss. 15, pp. 2704-2704
Open Access | Times Cited: 7
Hierarchical attention network for short-term runoff forecasting
Hao Wang, Hui Qin, Guanjun Liu, et al.
Journal of Hydrology (2024) Vol. 638, pp. 131549-131549
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top