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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 adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach
Qiaofeng Tan, Xiaohui Lei, Wang Xu, et al.
Journal of Hydrology (2018) Vol. 567, pp. 767-780
Closed Access | Times Cited: 209

Showing 1-25 of 209 citing articles:

Flood Prediction Using Machine Learning Models: Literature Review
Amir Mosavi, Pınar Öztürk, Kwok‐wing Chau
Water (2018) Vol. 10, Iss. 11, pp. 1536-1536
Open Access | Times Cited: 474
Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting
I-Feng Kao, Yanlai Zhou, Li‐Chiu Chang, et al.
Journal of Hydrology (2020) Vol. 583, pp. 124631-124631
Open Access | Times Cited: 316
Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization
Zhong-kai Feng, Wen-jing Niu, Zhengyang Tang, et al.
Journal of Hydrology (2020) Vol. 583, pp. 124627-124627
Closed Access | Times Cited: 210
Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting
Ganggang Zuo, Jungang Luo, Ni Wang, et al.
Journal of Hydrology (2020) Vol. 585, pp. 124776-124776
Closed Access | Times Cited: 207
Evaluating the performances of several artificial intelligence methods in forecasting daily streamflow time series for sustainable water resources management
Wen-jing Niu, Zhong-kai Feng
Sustainable Cities and Society (2020) Vol. 64, pp. 102562-102562
Closed Access | Times Cited: 152
Computational Intelligence: An Introduction
Arya Yaghoubzadeh-Bavandpour, Omid Bozorg‐Haddad, Babak Zolghadr‐Asli, et al.
Studies in computational intelligence (2022), pp. 411-427
Closed Access | Times Cited: 113
A hybrid deep learning algorithm and its application to streamflow prediction
Yongen Lin, Dagang Wang, Guiling Wang, et al.
Journal of Hydrology (2021) Vol. 601, pp. 126636-126636
Closed Access | Times Cited: 110
An Overview of Flood Concepts, Challenges, and Future Directions
Ashok K. Mishra, Sourav Mukherjee, Bruno Merz, et al.
Journal of Hydrologic Engineering (2022) Vol. 27, Iss. 6
Closed Access | Times Cited: 93
Accurate solar PV power prediction interval method based on frequency-domain decomposition and LSTM model
Lining Wang, Mingxuan Mao, Jili Xie, et al.
Energy (2022) Vol. 262, pp. 125592-125592
Closed Access | Times Cited: 83
Multiple spatio-temporal scale runoff forecasting and driving mechanism exploration by K-means optimized XGBoost and SHAP
Shuo Wang, Hui Peng
Journal of Hydrology (2024) Vol. 630, pp. 130650-130650
Closed Access | Times Cited: 24
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: 19
Explore an evolutionary recurrent ANFIS for modelling multi-step-ahead flood forecasts
Yanlai Zhou, Shenglian Guo, Fi‐John Chang
Journal of Hydrology (2019) Vol. 570, pp. 343-355
Closed Access | Times Cited: 141
Optimizing the sizes of wind and photovoltaic power plants integrated into a hydropower station based on power output complementarity
Yajun Tang, Guohua Fang, Qiaofeng Tan, et al.
Energy Conversion and Management (2020) Vol. 206, pp. 112465-112465
Closed Access | Times Cited: 105
A novel hybrid deep neural network model for short‐term electricity price forecasting
Chiou‐Jye Huang, Yamin Shen, Yung‐Hsiang Chen, et al.
International Journal of Energy Research (2020) Vol. 45, Iss. 2, pp. 2511-2532
Open Access | Times Cited: 99
A Methodological Approach for Predicting COVID-19 Epidemic Using EEMD-ANN Hybrid Model
Najmul Hasan
Internet of Things (2020) Vol. 11, pp. 100228-100228
Open Access | Times Cited: 93
Fusing stacked autoencoder and long short-term memory for regional multistep-ahead flood inundation forecasts
I-Feng Kao, Jia-Yi Liou, Meng-Hsin Lee, et al.
Journal of Hydrology (2021) Vol. 598, pp. 126371-126371
Closed Access | Times Cited: 87
Quantifying the effects of climate variability, direct and indirect land use change, and human activities on runoff
Baofu Li, Xun Shi, Lishu Lian, et al.
Journal of Hydrology (2020) Vol. 584, pp. 124684-124684
Closed Access | Times Cited: 77
Comparison of eight filter-based feature selection methods for monthly streamflow forecasting – Three case studies on CAMELS data sets
Kun Ren, Wei Fang, Jihong Qu, et al.
Journal of Hydrology (2020) Vol. 586, pp. 124897-124897
Closed Access | Times Cited: 75
Evolutionary artificial intelligence model via cooperation search algorithm and extreme learning machine for multiple scales nonstationary hydrological time series prediction
Zhong-kai Feng, Wen-jing Niu, Zhengyang Tang, et al.
Journal of Hydrology (2021) Vol. 595, pp. 126062-126062
Closed Access | Times Cited: 66
An Ensemble Modeling Approach to Forecast Daily Reservoir Inflow Using Bidirectional Long- and Short-Term Memory (Bi-LSTM), Variational Mode Decomposition (VMD), and Energy Entropy Method
Fugang Li, Guangwen Ma, Shijun Chen, et al.
Water Resources Management (2021) Vol. 35, Iss. 9, pp. 2941-2963
Closed Access | Times Cited: 63
An adaptive daily runoff forecast model using VMD-LSTM-PSO hybrid approach
Wang Xiu-jie, Yanpeng Wang, Pei-Xian Yuan, et al.
Hydrological Sciences Journal (2021) Vol. 66, Iss. 9, pp. 1488-1502
Closed Access | Times Cited: 59
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
Data-driven rapid flood prediction mapping with catchment generalizability
Zifeng Guo, Vahid Moosavi, João P. Leitão
Journal of Hydrology (2022) Vol. 609, pp. 127726-127726
Open Access | Times Cited: 56
Stepwise decomposition-integration-prediction framework for runoff forecasting considering boundary correction
Zhanxing Xu, Mo Li, Jianzhong Zhou, et al.
The Science of The Total Environment (2022) Vol. 851, pp. 158342-158342
Closed Access | Times Cited: 49
Enhancing robustness of monthly streamflow forecasting model using embedded-feature selection algorithm based on improved gray wolf optimizer
Qingjie Wang, Chunfang Yue, Xiaoqing Li, et al.
Journal of Hydrology (2022) Vol. 617, pp. 128995-128995
Closed Access | Times Cited: 46
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