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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:

An attention-based LSTM model for long-term runoff forecasting and factor recognition
Dongyang Han, Pan Liu, Kang Xie, et al.
Environmental Research Letters (2022) Vol. 18, Iss. 2, pp. 024004-024004
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A review of hybrid deep learning applications for streamflow forecasting
Kin‐Wang Ng, Yuk Feng Huang, Chai Hoon Koo, et al.
Journal of Hydrology (2023) Vol. 625, pp. 130141-130141
Closed Access | Times Cited: 77
Research on Water Resource Modeling Based on Machine Learning Technologies
Liu Ze, Jingzhao Zhou, Xiaoyang Yang, et al.
Water (2024) Vol. 16, Iss. 3, pp. 472-472
Open Access | Times Cited: 21
Assessment of the impact of climate change on streamflow of Ganjiang River catchment via LSTM-based models
Chao Deng, Xin Yin, Jiacheng Zou, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101716-101716
Open Access | Times Cited: 14
DFTQuake: Tripartite Fourier attention and dendrite network for real-time early prediction of earthquake magnitude and peak ground acceleration
Anushka Joshi, Nithya Reddy Vedium, Balasubramanian Raman
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110077-110077
Closed Access | Times Cited: 1
Interpreting runoff forecasting of long short-term memory network: An investigation using the integrated gradient method on runoff data from the Han River Basin
Jing Xin, Jungang Luo, Ganggang Zuo, et al.
Journal of Hydrology Regional Studies (2023) Vol. 50, pp. 101549-101549
Open Access | Times Cited: 17
Integrated forecasting of monthly runoff considering the combined effects of teleconnection factors
Jianbo Chang, Baowei Yan, Mingbo Sun, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102206-102206
Closed Access
Ensemble Framework for Multi-scale Runoff Interval Forecasting using Weight Combination and Reconstruction Strategy
Xi Yang, Min Qin, Zhihua Zhu, et al.
Water Resources Management (2025)
Closed Access
Enhancing runoff simulation by combining superflex with deep learning methods in China's Qinghai Lake Basin, Northeast Tibetan Plateau
Kaixun Liu, Na Li, Sihai Liang
Journal of Hydrology Regional Studies (2025) Vol. 59, pp. 102331-102331
Closed Access
Data reformation – A novel data processing technique enhancing machine learning applicability for predicting streamflow extremes
Vinh Ngoc Tran, V. Y. Ivanov, Jongho Kim
Advances in Water Resources (2023) Vol. 182, pp. 104569-104569
Open Access | Times Cited: 11
Pollution loads in the Middle-Lower Yangtze River by coupling water quality models with machine learning
Huang Sheng, Jun Xia, Yueling Wang, et al.
Water Research (2024) Vol. 263, pp. 122191-122191
Closed Access | Times Cited: 4
Compound Hydrological Forecasting Model by Long Short-term Memory Network Coupled with Adaptive Mode Decomposition and Evolutionary Algorithm
Zhong-kai Feng, Wen-jie Liu, Wen-jing Niu, et al.
Water Resources Management (2025)
Closed Access
Investigating the potential of EMA-embedded feature selection method for ESVR and LSTM to enhance the robustness of monthly streamflow forecasting from local meteorological information
Lei Xu, Peng Shi, Hongshi Wu, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131230-131230
Closed Access | Times Cited: 3
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
Runoff Prediction in Different Forecast Periods via a Hybrid Machine Learning Model for Ganjiang River Basin, China
Wei Wang, Shinan Tang, Jiacheng Zou, et al.
Water (2024) Vol. 16, Iss. 11, pp. 1589-1589
Open Access | Times Cited: 2
Evaluating the impact of improved filter-wrapper input variable selection on Long-term runoff forecasting using local and global climate information
Binlin Yang, Chen Lu, Bin Yi, et al.
Journal of Hydrology (2024), pp. 132034-132034
Closed Access | Times Cited: 2
Identifying control factors of hydrological behavior through catchment classification in mainland China
Huan Xu, Hao Wang, Pan Liu
Journal of Hydrology (2024), pp. 132206-132206
Closed Access | Times Cited: 2
Research on Annual Runoff Prediction Model Based on Adaptive Particle Swarm Optimization–Long Short-Term Memory with Coupled Variational Mode Decomposition and Spectral Clustering Reconstruction
Xueni Wang, Jianbo Chang, Jin Hua, et al.
Water (2024) Vol. 16, Iss. 8, pp. 1179-1179
Open Access | Times Cited: 1
An Attention‐Based Explainable Deep Learning Approach to Spatially Distributed Hydrologic Modeling of a Snow Dominated Mountainous Karst Watershed
Qianqiu Longyang, Seohye Choi, Hyrum Tennant, et al.
Water Resources Research (2024) Vol. 60, Iss. 11
Open Access | Times Cited: 1
Integrating Convolutional Attention and Encoder–Decoder Long Short-Term Memory for Enhanced Soil Moisture Prediction
Jingfeng Han, Hong Jian, Xiao Chen, et al.
Water (2024) Vol. 16, Iss. 23, pp. 3481-3481
Open Access | Times Cited: 1
Enhancing Runoff Prediction in the Tibetan Plateau's Buha River Basin Using a Superflex Hydrologic Model-Gru Deep Learning Combination
Kaixun Liu, Na Li, Sihai Liang
(2024)
Closed Access
Enhancing Runoff Prediction Accuracy with Superflex-Gru Hybrid Models in the Qinghai Lake Basin, Northeast Tibetan Plateau, China
Kaixun Liu, Na Li, Sihai Liang
(2024)
Closed Access
Enhancing Runoff Prediction Accuracy with Superflex-Gru Hybrid Models in China's Qinghai Lake Basin, Northeast Tibetan Plateau
Kaixun Liu, Na Li, Sihai Liang
(2024)
Closed Access
Changes of blue and green water in arid inland dissipation area based on coupled surface water and groundwater model
Lu Wang, Feilong Jie, Bing He
Journal of Hydrology Regional Studies (2024) Vol. 56, pp. 102010-102010
Open Access
Using Machine Learning for Climate Modelling: Application of Neural Networks to a Slow-Fast Chaotic Dynamical System as a Case Study
Sergei Soldatenko, Yaromir Angudovich
Climate (2024) Vol. 12, Iss. 11, pp. 189-189
Open Access
Prediction of Cholecystokinin-Secretory Peptides Using Bidirectional Long Short-term Memory Model Based on Transfer Learning and Hierarchical Attention Network Mechanism
Jing Liu, Pu Chen, Hongdong Song, et al.
Biomolecules (2023) Vol. 13, Iss. 9, pp. 1372-1372
Open Access
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