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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:

Predicting Runoff Signatures Using Regression and Hydrological Modeling Approaches
Yongqiang Zhang, Francis H. S. Chiew, Ming Li, et al.
Water Resources Research (2018) Vol. 54, Iss. 10, pp. 7859-7878
Closed Access | Times Cited: 142

Showing 1-25 of 142 citing articles:

Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches
Peirong Lin, Ming Pan, Hylke E. Beck, et al.
Water Resources Research (2019) Vol. 55, Iss. 8, pp. 6499-6516
Open Access | Times Cited: 352
Regionalization of hydrological modeling for predicting streamflow in ungauged catchments: A comprehensive review
Yuhan Guo, Yongqiang Zhang, Lu Zhang, et al.
Wiley Interdisciplinary Reviews Water (2020) Vol. 8, Iss. 1
Closed Access | Times Cited: 280
A review of hydrologic signatures and their applications
Hilary McMillan
Wiley Interdisciplinary Reviews Water (2020) Vol. 8, Iss. 1
Closed Access | Times Cited: 166
Study on optimization and combination strategy of multiple daily runoff prediction models coupled with physical mechanism and LSTM
Jun Guo, Yi Liu, Qiang Zou, et al.
Journal of Hydrology (2023) Vol. 624, pp. 129969-129969
Closed Access | Times Cited: 120
Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models
Richard Arsenault, Jean‐Luc Martel, Frédéric Brunet, et al.
Hydrology and earth system sciences (2023) Vol. 27, Iss. 1, pp. 139-157
Open Access | Times Cited: 111
Future global streamflow declines are probably more severe than previously estimated
Yongqiang Zhang, Hongxing Zheng, Xuanze Zhang, et al.
Nature Water (2023) Vol. 1, Iss. 3, pp. 261-271
Closed Access | Times Cited: 80
Southern Hemisphere dominates recent decline in global water availability
Yongqiang Zhang, Congcong Li, Francis H. S. Chiew, et al.
Science (2023) Vol. 382, Iss. 6670, pp. 579-584
Open Access | Times Cited: 80
Impact assessment of climate change and human activities on streamflow signatures in the Yellow River Basin using the Budyko hypothesis and derived differential equation
W.H. Wang, Yongyong Zhang, Qiuhong Tang
Journal of Hydrology (2020) Vol. 591, pp. 125460-125460
Closed Access | Times Cited: 82
Can Remotely Sensed Actual Evapotranspiration Facilitate Hydrological Prediction in Ungauged Regions Without Runoff Calibration?
Yongqiang Zhang, Francis H. S. Chiew, Changming Liu, et al.
Water Resources Research (2020) Vol. 56, Iss. 1
Closed Access | Times Cited: 81
Estimating annual runoff in response to forest change: A statistical method based on random forest
Ming Li, Yongqiang Zhang, J. Wallace, et al.
Journal of Hydrology (2020) Vol. 589, pp. 125168-125168
Closed Access | Times Cited: 71
Regionalization of hydrological model parameters using gradient boosting machine
Zhihong Song, Jun Xia, Gangsheng Wang, et al.
Hydrology and earth system sciences (2022) Vol. 26, Iss. 2, pp. 505-524
Open Access | Times Cited: 53
Prediction of streamflow based on the long-term response of streamflow to climatic factors in the source region of the Yellow River
Ruirui Xu, Dexun Qiu, Peng Gao, et al.
Journal of Hydrology Regional Studies (2024) Vol. 52, pp. 101681-101681
Open Access | Times Cited: 14
Projections of future streamflow for Australia informed by CMIP6 and previous generations of global climate models
Hongxing Zheng, Francis H. S. Chiew, David Post, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131286-131286
Open Access | Times Cited: 10
Hybrid machine learning system based on multivariate data decomposition and feature selection for improved multitemporal evapotranspiration forecasting
Jinwook Lee, Sayed M. Bateni, Changhyun Jun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108744-108744
Closed Access | Times Cited: 9
Enhancing Soil Moisture Prediction in Drought-Prone Agricultural Regions Using Remote Sensing and Machine Learning Approaches
Xizhuoma Zha, Shaofeng Jia, Han Yan, et al.
Remote Sensing (2025) Vol. 17, Iss. 2, pp. 181-181
Open Access | Times Cited: 1
Global Estimates of Reach‐Level Bankfull River Width Leveraging Big Data Geospatial Analysis
Peirong Lin, Ming Pan, George H. Allen, et al.
Geophysical Research Letters (2020) Vol. 47, Iss. 7
Closed Access | Times Cited: 64
Random Forest Ability in Regionalizing Hourly Hydrological Model Parameters
Mohamed Saadi, Ludovic Oudin, Pierre Ribstein
Water (2019) Vol. 11, Iss. 8, pp. 1540-1540
Open Access | Times Cited: 59
How to explain and predict the shape parameter of the generalized extreme value distribution of streamflow extremes using a big dataset
Hristos Tyralis, Georgia Papacharalampous, Sarintip Tantanee
Journal of Hydrology (2019) Vol. 574, pp. 628-645
Open Access | Times Cited: 57
Large-scale baseflow index prediction using hydrological modelling, linear and multilevel regression approaches
Junlong Zhang, Yongqiang Zhang, Jinxi Song, et al.
Journal of Hydrology (2020) Vol. 585, pp. 124780-124780
Open Access | Times Cited: 52
Evaluating the uncertainty of eight approaches for separating the impacts of climate change and human activities on streamflow
Jinkai Luan, Yongqiang Zhang, Ning Ma, et al.
Journal of Hydrology (2021) Vol. 601, pp. 126605-126605
Closed Access | Times Cited: 47
Influence of Random Forest Hyperparameterization on Short-Term Runoff Forecasting in an Andean Mountain Catchment
Pablo Contreras, Johanna Orellana‐Alvear, Paúl Muñoz, et al.
Atmosphere (2021) Vol. 12, Iss. 2, pp. 238-238
Open Access | Times Cited: 45
ML-Based Streamflow Prediction in the Upper Colorado River Basin Using Climate Variables Time Series Data
Pouya Hosseinzadeh, Ayman Nassar, Soukaïna Filali Boubrahimi, et al.
Hydrology (2023) Vol. 10, Iss. 2, pp. 29-29
Open Access | Times Cited: 17
Characterising baseflow signature variability in the Yellow River Basin
Shixuan Lyu, Chunling Guo, Yuyu Zhai, et al.
Journal of Environmental Management (2023) Vol. 345, pp. 118565-118565
Open Access | Times Cited: 17
Parsimonious statistical learning models for low-flow estimation
Johannes Laimighofer, Michael Melcher, Gregor Laaha
Hydrology and earth system sciences (2022) Vol. 26, Iss. 1, pp. 129-148
Open Access | Times Cited: 26
Estimating the Routing Parameter of the Xin’anjiang Hydrological Model Based on Remote Sensing Data and Machine Learning
Yuanhao Fang, Yizhi Huang, Bo Qu, et al.
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4609-4609
Open Access | Times Cited: 23
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