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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:

Wavelet analysis-based projection pursuit autoregression model and its application in the runoff forecasting of Li Xiangjiang basin
Zhiqiang Jiang, Rongbo Li, Changming Ji, et al.
Hydrological Sciences Journal (2018) Vol. 63, Iss. 12, pp. 1817-1830
Closed Access | Times Cited: 18

Showing 18 citing articles:

Combining two-stage decomposition based machine learning methods for annual runoff forecasting
Shu Chen, Miaomiao Ren, Wei Sun
Journal of Hydrology (2021) Vol. 603, pp. 126945-126945
Closed Access | Times Cited: 56
Hydropower Operation Optimization Using Machine Learning: A Systematic Review
José V. Bernardes, Mateus G. Santos, Thiago M. Abreu, et al.
AI (2022) Vol. 3, Iss. 1, pp. 78-99
Open Access | Times Cited: 40
A conceptual metaheuristic-based framework for improving runoff time series simulation in glacierized catchments
Babak Mohammadi, Saeed Vazifehkhah, Zheng Duan
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107302-107302
Open Access | Times Cited: 24
Tree-ring-width based streamflow reconstruction based on the random forest algorithm for the source region of the Yangtze River, China
Jun Li, Zhaoli Wang, Chengguang Lai, et al.
CATENA (2019) Vol. 183, pp. 104216-104216
Closed Access | Times Cited: 43
An Adaptive Ensemble Framework for Flood Forecasting and Its Application in a Small Watershed Using Distinct Rainfall Interpolation Methods
Yichao Xu, Zhiqiang Jiang, Yi Liu, et al.
Water Resources Management (2023) Vol. 37, Iss. 5, pp. 2195-2219
Closed Access | Times Cited: 13
Multiple temporal scale variation characteristics and driving factors of arid inland runoff: A case study of Urumqi River, China
Kun Liu, Yunfei Chen, Bin Wu, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102298-102298
Closed Access
Quantifying the Uncertainties in Data-Driven Models for Reservoir Inflow Prediction
Xiaoli Zhang, Haixia Wang, Anbang Peng, et al.
Water Resources Management (2020) Vol. 34, Iss. 4, pp. 1479-1493
Closed Access | Times Cited: 31
Time-varying trends of vegetation change and their driving forces during 1981–2016 along the silk road economic belt
Xiaojuan Xu, Huiyu Liu, Fusheng Jiao, et al.
CATENA (2020) Vol. 195, pp. 104796-104796
Closed Access | Times Cited: 30
Two-step daily reservoir inflow prediction using ARIMA-machine learning and ensemble models
Akshita Gupta, Arun Kumar
Journal of Hydro-environment Research (2022) Vol. 45, pp. 39-52
Closed Access | Times Cited: 15
A New Framework for Evaluation of Rainfall Temporal Variability through Principal Component Analysis, Hybrid Adaptive Neuro-Fuzzy Inference System, and Innovative Trend Analysis Methodology
Alireza Farrokhi, Saeed Farzin, Sayed‐Farhad Mousavi
Water Resources Management (2020) Vol. 34, Iss. 10, pp. 3363-3385
Closed Access | Times Cited: 20
Mid- to long-term runoff prediction by combining the deep belief network and partial least-squares regression
Zhaoxin Yue, Ping Ai, Chuansheng Xiong, et al.
Journal of Hydroinformatics (2020) Vol. 22, Iss. 5, pp. 1283-1305
Open Access | Times Cited: 19
Runoff forecasting model based on CEEMD and combination model: a case study in the Manasi River, China
Lian Lian
Water Science & Technology Water Supply (2022) Vol. 22, Iss. 4, pp. 3921-3940
Open Access | Times Cited: 9
Hybrid SVM-CIPSO methods for optimal operation of reservoir considering unknown future condition
Ramtin Moeini, Mohammad Babaei
Applied Soft Computing (2020) Vol. 95, pp. 106572-106572
Closed Access | Times Cited: 14
Ensemble approach for mid-long term runoff forecasting using hybrid algorithms
Zhaoxin Yue, Ping Ai, Dingbo Yuan, et al.
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 13, Iss. 11, pp. 5103-5122
Closed Access | Times Cited: 11
Vegetation trends in a protected area of the Brazilian Atlantic forest
Rosane Gomes da Silva, Alexandre Rosa dos Santos, João Batista Esteves Pelúzio, et al.
Ecological Engineering (2021) Vol. 162, pp. 106180-106180
Open Access | Times Cited: 9
Runoff time series prediction using LSTM dynamic neural network optimized by logistic chaotic mapping chicken swarm algorithm
Wenyu Yang, Junfeng Li, Xuege Gu, et al.
Journal of Water and Climate Change (2023) Vol. 14, Iss. 9, pp. 2935-2953
Open Access | Times Cited: 2
Response Surface Models Using the Wavelet Technique for Reservoir Inflow Prediction
Adnan Bashir, Muhammad Ahmed Shehzad, Aamna Khan, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 1
Inflow combination forecast of reservoir based on SWAT, XAJ model and Bayes model averaging method
Zongye Chang, Zhiqiang Jiang, Pengfei Wang
Water Science & Technology Water Supply (2022) Vol. 22, Iss. 12, pp. 8440-8464
Open Access | Times Cited: 1
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