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:

Application of Long Short-Term Memory (LSTM) on the Prediction of Rainfall-Runoff in Karst Area
Longzhang Fang, Dongguo Shao
Frontiers in Physics (2022) Vol. 9
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Application of HP-LSTM Models for Groundwater Level Prediction in Karst Regions: A Case Study in Qingzhen City
Yan Bo, Chunlei Zhang, Xiaoyu Fang, et al.
Water (2025) Vol. 17, Iss. 3, pp. 362-362
Open Access | Times Cited: 1

Improving Monthly Rainfall Forecast in a Watershed by Combining Neural Networks and Autoregressive Models
Albenis Pérez‐Alarcón, Daniel Garcia-Cortes, José C. Fernández‐Alvarez, et al.
Environmental Processes (2022) Vol. 9, Iss. 3
Closed Access | Times Cited: 45

Machine learning versus crop growth models: an ally, not a rival
Ningyi Zhang, Xiaohan Zhou, Mengzhen Kang, et al.
AoB Plants (2022) Vol. 15, Iss. 2
Open Access | Times Cited: 38

Daily suspended sediment concentration forecast in the upper reach of Yellow River using a comprehensive integrated deep learning model
Jinsheng Fan, Xiaofang Liu, Weidong Li
Journal of Hydrology (2023) Vol. 623, pp. 129732-129732
Closed Access | Times Cited: 18

Monthly runoff time series interval prediction based on WOA-VMD-LSTM using non-parametric kernel density estimation
Wenchuan Wang, Bo Wang, Kwok‐wing Chau, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 3, pp. 2373-2389
Closed Access | Times Cited: 17

Deep learning models for drought susceptibility mapping in Southeast Queensland, Australia
Fatemeh Rezaie, Mahdi Panahi, Changhyun Jun, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access

From weather data to river runoff: using spatiotemporal convolutional networks for discharge forecasting
Florian Börgel, Sven Karsten, Karoline Rummel, et al.
Geoscientific model development (2025) Vol. 18, Iss. 6, pp. 2005-2019
Open Access

A comprehensive study of mid-long term precipitation prediction based on quadratic decomposition models in a karst basin
Chongxun Mo, Jun Xu, Changhao Jiang, et al.
Hydrological Sciences Journal (2025)
Closed Access

Large-scale seasonal forecasts of river discharge by coupling local and global datasets with a stacked neural network: Case for the Loire River system
M.T. Vu, Abderrahim Jardani, M. Krimissa, et al.
The Science of The Total Environment (2023) Vol. 897, pp. 165494-165494
Open Access | Times Cited: 10

Assessing the simulation of streamflow with the LSTM model across the continental United States using the MOPEX dataset
Achraf Tounsi, Mohamed Abdelkader, Marouane Temimi
Neural Computing and Applications (2023) Vol. 35, Iss. 30, pp. 22469-22486
Closed Access | Times Cited: 10

Sentiment Analysis of Comment Data Based on BERT-ETextCNN-ELSTM
Lujuan Deng, Tiantian Yin, Zuhe Li, et al.
Electronics (2023) Vol. 12, Iss. 13, pp. 2910-2910
Open Access | Times Cited: 9

Effect of Gradient Descent Optimizers and Dropout Technique on Deep Learning LSTM Performance in Rainfall-runoff Modeling
Duong Tran Anh, Dat Vi Thanh, Hoang Le, et al.
Water Resources Management (2022) Vol. 37, Iss. 2, pp. 639-657
Closed Access | Times Cited: 15

Dynamic characteristics of net anthropogenic phosphorus input and legacy phosphorus reserves under high human activity - A case study in the Jianghan Plain
Jie Liu, Wenquan Gu, Yawen Liu, et al.
The Science of The Total Environment (2022) Vol. 836, pp. 155287-155287
Closed Access | Times Cited: 11

Study on a mother wavelet optimization framework based on change-point detection of hydrological time series
Jiqing Li, Jing Huang, Lei Zheng, et al.
Hydrology and earth system sciences (2023) Vol. 27, Iss. 12, pp. 2325-2339
Open Access | Times Cited: 3

An Approach Based on Recurrent Neural Networks and Interactive Visualization to Improve Explainability in AI Systems
William Villegas-Ch, Joselin García-Ortiz, Ángel Jaramillo-Alcázar
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 3, pp. 136-136
Open Access | Times Cited: 2

Critical Review of Neural Network Generations and Models Design
Jabar H. Yousif, Mohammed J. Yousif
(2023)
Open Access | Times Cited: 2

Critical Review of Neural Network Generations and Models Design
Jabar H. Yousif, Mohammed J. Yousif
(2023)
Open Access | Times Cited: 2

Artificial Neural Networks vs Long Short-Term Memory Prediction of Solid Flow in Tafna Basin (North-West Algeria)
Mohamed Nadjib Medfouni, Khaled Korichi, Nadir Marouf
Ecological Engineering & Environmental Technology (2024) Vol. 25, Iss. 3, pp. 275-286
Open Access

Coupled Flow CEEMDAN-SSA-BiLSTM-based predictive model
Xianqi Zhang, Yupeng Zheng, Yang Yang, et al.
Research Square (Research Square) (2024)
Open Access

Investigating hydrological processes using explainable deep-learning models
Wenqiang Liu, Huiqing Hao, Xiehui Song, et al.
Hydrological Sciences Journal (2024) Vol. 70, Iss. 1, pp. 110-126
Closed Access

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