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:

Benchmarking data-driven rainfall-runoff modeling across 54 catchments in the Yellow River Basin: Overfitting, calibration length, dry frequency
Jin Jin, Yanning Zhang, Zhen Hao, et al.
Journal of Hydrology Regional Studies (2022) Vol. 42, pp. 101119-101119
Open Access | Times Cited: 33

Showing 1-25 of 33 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: 75

Enhancing streamflow simulation in large and human-regulated basins: Long short-term memory with multiscale attributes
Arken Tursun, Xianhong Xie, Yibing Wang, et al.
Journal of Hydrology (2024) Vol. 630, pp. 130771-130771
Closed Access | Times Cited: 10

Deep learning for monthly rainfall–runoff modelling: a large-sample comparison with conceptual models across Australia
Stephanie Clark, Julien Lerat, Jean‐Michel Perraud, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 5, pp. 1191-1213
Open Access | Times Cited: 9

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

Enhanced Streamflow Forecasting for Crisis Management Based on Hybrid Extreme Gradient Boosting Model
Hamed Khajavi, Amir Rastgoo, Fariborz Masoumi
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access

Multi-Factor Remote Sensing Image Analysis and Cyanobacterial Bloom Prediction Based on 4D-Pix2Pix Model
Li Wang, Yafei Chen, Xiaoyi Wang, et al.
Desalination and Water Treatment (2025), pp. 101014-101014
Open Access

Mixture of experts leveraging informer and LSTM variants for enhanced daily streamflow forecasting
Zerong Rong, Wei Sun, Yutong Xie, et al.
Journal of Hydrology (2025), pp. 132737-132737
Closed Access

Feature-driven hybrid attention learning for accurate water quality prediction
Xuan Yao, Zeshui Xu, Tianyu Ren, et al.
Expert Systems with Applications (2025), pp. 127160-127160
Closed Access

Prediction of DEDI index for meteorological drought with the VMD-CBiLSTM hybrid model
Su Tao, Dan Liu, Xingyuan Cui, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131805-131805
Closed Access | Times Cited: 4

Runoff Simulation in Data-Scarce Alpine Regions: Comparative Analysis Based on LSTM and Physically Based Models
Jiajia Yue, Li Zhou, Juan Du, et al.
Water (2024) Vol. 16, Iss. 15, pp. 2161-2161
Open Access | Times Cited: 3

Improving streamflow forecasting in semi-arid basins by combining data segmentation and attention-based deep learning
Zijie Tang, Jianyun Zhang, Mengliu Hu, et al.
Journal of Hydrology (2024) Vol. 643, pp. 131923-131923
Closed Access | Times Cited: 3

Remote sensing image analysis and prediction based on improved Pix2Pix model for water environment protection of smart cities
Li Wang, Wenhao Li, Xiaoyi Wang, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1292-e1292
Open Access | Times Cited: 5

Quantifying Uncertainty in Runoff Simulation According to Multiple Evaluation Metrics and Varying Calibration Data Length
Ghaith Falah Ziarh, Jin Hyuck Kim, Jae Yeol Song, et al.
Water (2024) Vol. 16, Iss. 4, pp. 517-517
Open Access | Times Cited: 1

Hydrological model parameter regionalization: Runoff estimation using machine learning techniques in the Tha Chin River Basin, Thailand
Phyo Thandar Hlaing, Usa Wannasingha Humphries, Muhammad Waqas
MethodsX (2024) Vol. 13, pp. 102792-102792
Open Access | Times Cited: 1

Research on Coupling Knowledge Embedding and Data-Driven Deep Learning Models for Runoff Prediction
Yanling Li, Junfang Wei, Qianxing Sun, et al.
Water (2024) Vol. 16, Iss. 15, pp. 2130-2130
Open Access | Times Cited: 1

Streamflow Prediction in Human‐Regulated Catchments Using Multiscale Deep Learning Modeling With Anthropogenic Similarities
Arken Tursun, Xianhong Xie, Yibing Wang, et al.
Water Resources Research (2024) Vol. 60, Iss. 9
Open Access | Times Cited: 1

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