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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:

Hybrid Models Combining EMD/EEMD and ARIMA for Long-Term Streamflow Forecasting
Zhiyu Wang, Jun Qiu, Fang‐Fang Li
Water (2018) Vol. 10, Iss. 7, pp. 853-853
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Evaluation and Prediction of Groundwater Quality for Irrigation Using an Integrated Water Quality Indices, Machine Learning Models and GIS Approaches: A Representative Case Study
Hekmat Ibrahim, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Miklas Scholz, et al.
Water (2023) Vol. 15, Iss. 4, pp. 694-694
Open Access | Times Cited: 84
Groundwater Quality and Health Risk Assessment Using Indexing Approaches, Multivariate Statistical Analysis, Artificial Neural Networks, and GIS Techniques in El Kharga Oasis, Egypt
Mohamed Gad, Aissam Gaagai, Mohamed Hamdy Eid, et al.
Water (2023) Vol. 15, Iss. 6, pp. 1216-1216
Open Access | Times Cited: 55
Daily Runoff Forecasting Using a Hybrid Model Based on Variational Mode Decomposition and Deep Neural Networks
Xinxin He, Jungang Luo, Ganggang Zuo, et al.
Water Resources Management (2019) Vol. 33, Iss. 4, pp. 1571-1590
Closed Access | Times Cited: 135
Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model
Xue‐Bo Jin, Nian-Xiang Yang, Xiaoyi Wang, et al.
Sensors (2020) Vol. 20, Iss. 5, pp. 1334-1334
Open Access | Times Cited: 93
Deep Hybrid Model Based on EMD with Classification by Frequency Characteristics for Long-Term Air Quality Prediction
Xue‐Bo Jin, Nian-Xiang Yang, Xiaoyi Wang, et al.
Mathematics (2020) Vol. 8, Iss. 2, pp. 214-214
Open Access | Times Cited: 82
A multivariate EMD-LSTM model aided with Time Dependent Intrinsic Cross-Correlation for monthly rainfall prediction
Kavya Johny, Maya L. Pai, S. Adarsh
Applied Soft Computing (2022) Vol. 123, pp. 108941-108941
Closed Access | Times Cited: 47
Daily Streamflow Forecasting Based on the Hybrid Particle Swarm Optimization and Long Short-Term Memory Model in the Orontes Basin
Hüseyin Çağan Kılınç
Water (2022) Vol. 14, Iss. 3, pp. 490-490
Open Access | Times Cited: 38
A Survey on Data-Driven Runoff Forecasting Models Based on Neural Networks
Ziyu Sheng, Shiping Wen, Zhong-kai Feng, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 4, pp. 1083-1097
Closed Access | Times Cited: 21
Enhancing drought prediction precision with EEMD-ARIMA modeling based on standardized precipitation index
Reza Rezaiy, Ani Shabri
Water Science & Technology (2024) Vol. 89, Iss. 3, pp. 745-770
Open Access | Times Cited: 10
A Comparison of BPNN, GMDH, and ARIMA for Monthly Rainfall Forecasting Based on Wavelet Packet Decomposition
Wenchuan Wang, Yujin Du, Kwok‐wing Chau, et al.
Water (2021) Vol. 13, Iss. 20, pp. 2871-2871
Open Access | Times Cited: 42
Streamflow forecasting
Priyanka Sharma, Deepesh Machiwal
Elsevier eBooks (2021), pp. 1-50
Closed Access | Times Cited: 41
A Decomposition-based Multi-model and Multi-parameter ensemble forecast framework for monthly streamflow forecasting
Jia Wang, Xu Wang, S.‐T. Khu
Journal of Hydrology (2023) Vol. 618, pp. 129083-129083
Closed Access | Times Cited: 20
Evolution of Flood Prediction and Forecasting Models for Flood Early Warning Systems: A Scoping Review
Nicholas Byaruhanga, Daniel Kibirige, Shaeden Gokool, et al.
Water (2024) Vol. 16, Iss. 13, pp. 1763-1763
Open Access | Times Cited: 6
Decomposing streamflow for improved river flow prediction accuracy of machine learning models
Mostafa Elkurdy, Andrew Binns, Bahram Gharabaghi
International Journal of River Basin Management (2025), pp. 1-16
Closed Access
Adaptive rolling runoff forecasting model: Combining multi-source correlated sequences and extreme value encoding
Tao Wang, Jingzhe Liu, Yongming Cheng, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102241-102241
Closed Access
Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam
Mohammad Rezaie-Balf, Sujay Raghavendra Naganna, Özgür Kişi, et al.
Hydrological Sciences Journal (2019) Vol. 64, Iss. 13, pp. 1629-1646
Open Access | Times Cited: 47
Daily Runoff Forecasting Using Ensemble Empirical Mode Decomposition and Long Short-Term Memory
Ruifang Yuan, Siyu Cai, Weihong Liao, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 32
Deep learning-based fault classification of rolling bearings under noisy conditions using CEEMD-VMD-IMF with magnitude scalogram images
Prashant Kumar Sahu, Rajiv Nandan, Neha Patel
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 10, pp. 5281-5295
Closed Access | Times Cited: 4
Review and Intercomparison of Machine Learning Applications for Short-term Flood Forecasting
Muhammad Asif, Monique M. Kuglitsch, Ivanka Pelivan, et al.
Water Resources Management (2025)
Open Access
ARIMA-M: A New Model for Daily Water Consumption Prediction Based on the Autoregressive Integrated Moving Average Model and the Markov Chain Error Correction
Hongyan Du, Zhihua Zhao, Huifeng Xue
Water (2020) Vol. 12, Iss. 3, pp. 760-760
Open Access | Times Cited: 34
Adaptive EEMD-ANN hybrid model for Indian summer monsoon rainfall forecasting
Kavya Johny, Maya L. Pai, S. Adarsh
Theoretical and Applied Climatology (2020) Vol. 141, Iss. 1-2, pp. 1-17
Closed Access | Times Cited: 33
Monthly Streamflow Prediction of the Source Region of the Yellow River Based on Long Short-Term Memory Considering Different Lagged Months
Haibo Chu, Zhuoqi Wang, Chong Nie
Water (2024) Vol. 16, Iss. 4, pp. 593-593
Open Access | Times Cited: 3
PM2.5 Prediction Based on the CEEMDAN Algorithm and a Machine Learning Hybrid Model
Wenchao Ban, Liangduo Shen
Sustainability (2022) Vol. 14, Iss. 23, pp. 16128-16128
Open Access | Times Cited: 17
Monthly Streamflow Prediction by Metaheuristic Regression Approaches Considering Satellite Precipitation Data
Mojtaba Mehraein, Aadhityaa Mohanavelu, Sujay Raghavendra Naganna, et al.
Water (2022) Vol. 14, Iss. 22, pp. 3636-3636
Open Access | Times Cited: 16
A Hybrid Air Quality Prediction Model Based on Empirical Mode Decomposition
Yuxuan Cao, D. Zhang, Shaoqi Ding, et al.
Tsinghua Science & Technology (2023) Vol. 29, Iss. 1, pp. 99-111
Open Access | Times Cited: 9
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