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:

A new approach for simulating and forecasting the rainfall-runoff process within the next two months
Mohamad Javad Alizadeh, Mohammad Reza Kavianpour, Özgür Kişi, et al.
Journal of Hydrology (2017) Vol. 548, pp. 588-597
Closed Access | Times Cited: 108

Showing 26-50 of 108 citing articles:

Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment
Zhenliang Yin, Qi Feng, Xiaohu Wen, et al.
Stochastic Environmental Research and Risk Assessment (2018) Vol. 32, Iss. 9, pp. 2457-2476
Closed Access | Times Cited: 51

Superiority of Hybrid Soft Computing Models in Daily Suspended Sediment Estimation in Highly Dynamic Rivers
Tarate Suryakant Bajirao, Pravendra Kumar, Manish Kumar, et al.
Sustainability (2021) Vol. 13, Iss. 2, pp. 542-542
Open Access | Times Cited: 36

The Superiority of Data-Driven Techniques for Estimation of Daily Pan Evaporation
Manish Kumar, Anuradha Kumari, Deepak Kumar, et al.
Atmosphere (2021) Vol. 12, Iss. 6, pp. 701-701
Open Access | Times Cited: 34

Harnessing Novel Data‐Driven Techniques for Precise Rainfall–Runoff Modeling
Saad Sh. Sammen, Reza Mohammadpour, Karam Alsafadi, et al.
Journal of Flood Risk Management (2025) Vol. 18, Iss. 1
Open Access

Advancements in rainfall-runoff prediction: Exploring state-of-the-art neural computing modeling approaches
Dani Irwan, Ali Najah Ahmed, Saerahany Legori Ibrahim, et al.
Alexandria Engineering Journal (2025) Vol. 121, pp. 138-149
Closed Access

Assessment and estimation of runoff and soil loss using novel machine learning techniques for conservation bench terraces
Ambrish Kumar, Manish Kumar, Narinder Sharma, et al.
The Science of The Total Environment (2025) Vol. 973, pp. 179093-179093
Closed Access

A non-stationary downscaling and gap-filling approach for GRACE/GRACE-FO data under climatic and anthropogenic influences
Seyed Mojtaba Mousavimehr, Mohammad Reza Kavianpour
Applied Water Science (2025) Vol. 15, Iss. 5
Open Access

Monthly Rainfall Forecasting Using Echo State Networks Coupled with Data Preprocessing Methods
Qi Ouyang, Wenxi Lu
Water Resources Management (2017) Vol. 32, Iss. 2, pp. 659-674
Closed Access | Times Cited: 43

Machine Learning Automatic Model Selection Algorithm for Oceanic Chlorophyll-a Content Retrieval
Katalin Blix, Torbjørn Eltoft
Remote Sensing (2018) Vol. 10, Iss. 5, pp. 775-775
Open Access | Times Cited: 42

Vehicle Emission Forecasting Based on Wavelet Transform and Long Short-Term Memory Network
Qiang Zhang, Feng Li, Fei Long, et al.
IEEE Access (2018) Vol. 6, pp. 56984-56994
Open Access | Times Cited: 39

Seasonal forecasting of daily mean air temperatures using a coupled global climate model and machine learning algorithm for field-scale agricultural management
Ju‐Young Shin, Kyu Rang Kim, Jong-Chul Ha
Agricultural and Forest Meteorology (2019) Vol. 281, pp. 107858-107858
Closed Access | Times Cited: 38

Evaluation of aquifer vulnerability using PCA technique and various clustering methods
Badreddine Rahmani, Saman Javadi, Seied Mehdy Hashemy Shahdany
Geocarto International (2019) Vol. 36, Iss. 18, pp. 2117-2140
Closed Access | Times Cited: 38

Improved Curve Number Estimation in SWAT by Reflecting the Effect of Rainfall Intensity on Runoff Generation
Dejian Zhang, Qiaoying Lin, Xingwei Chen, et al.
Water (2019) Vol. 11, Iss. 1, pp. 163-163
Open Access | Times Cited: 37

Comparative Analysis of Rainfall Prediction Models Using Machine Learning in Islands with Complex Orography: Tenerife Island
Ricardo Aguasca-Colomo, Dagoberto Castellanos–Nieves, Máximo Méndez
Applied Sciences (2019) Vol. 9, Iss. 22, pp. 4931-4931
Open Access | Times Cited: 36

Potential of hybrid wavelet-coupled data-driven-based algorithms for daily runoff prediction in complex river basins
Tarate Suryakant Bajirao, Pravendra Kumar, Manish Kumar, et al.
Theoretical and Applied Climatology (2021) Vol. 145, Iss. 3-4, pp. 1207-1231
Closed Access | Times Cited: 30

Spatiotemporal evolution patterns of flood-causing rainstorm events in China from a 3D perspective
Xiaoyu Wang, Xiaodan Guan, Shiguang Miao
Atmospheric Research (2025), pp. 107920-107920
Closed Access

Integrated Markov chains and uncertainty analysis techniques to more accurately forecast floods using satellite signals
Hossein Bonakdari, Amir Hossein Zaji, Andrew Binns, et al.
Journal of Hydrology (2019) Vol. 572, pp. 75-95
Closed Access | Times Cited: 30

Development of a surrogate method of groundwater modeling using gated recurrent unit to improve the efficiency of parameter auto-calibration and global sensitivity analysis
Yu Chen, Guodong Liu, Xiaohua Huang, et al.
Journal of Hydrology (2020) Vol. 598, pp. 125726-125726
Closed Access | Times Cited: 28

Intercomparison of downscaling methods for daily precipitation with emphasis on wavelet-based hybrid models
Yeditha Pavan Kumar, Maheswaran Rathinasamy, Ankit Agarwal, et al.
Journal of Hydrology (2021) Vol. 599, pp. 126373-126373
Closed Access | Times Cited: 22

Use of meta-heuristic approach in the estimation of aquifer's response to climate change under shared socioeconomic pathways
Nejat Zeydalinejad, Reza Dehghani
Groundwater for Sustainable Development (2022) Vol. 20, pp. 100882-100882
Closed Access | Times Cited: 15

A new wavelet conjunction approach for estimation of relative humidity: wavelet principal component analysis combined with ANN
Maryam Bayatvarkeshi, Kourosh Mohammadi, Özgür Kişi, et al.
Neural Computing and Applications (2018) Vol. 32, Iss. 9, pp. 4989-5000
Closed Access | Times Cited: 25

An improved chaos similarity model for hydrological forecasting
Zhongmin Liang, Zhangling Xiao, Jun Wang, et al.
Journal of Hydrology (2019) Vol. 577, pp. 123953-123953
Closed Access | Times Cited: 23

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