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:

Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship
Özgür Kişi, Hazi Mohammad Azamathulla, Fatih Cevat, et al.
Results in Engineering (2024) Vol. 22, pp. 102017-102017
Open Access | Times Cited: 18

Showing 18 citing articles:

River stream flow prediction through advanced machine learning models for enhanced accuracy
Naresh Kedam, Deepak Kumar Tiwari, Vijendra Kumar, et al.
Results in Engineering (2024) Vol. 22, pp. 102215-102215
Open Access | Times Cited: 16

Hybridization of Stochastic Hydrological Models and Machine Learning Methods for Improving Rainfall-Runoff Modelling
Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick Kiplangat Ronoh, et al.
Results in Engineering (2025), pp. 104079-104079
Open Access | Times Cited: 1

Comparative analysis of data driven rainfall-runoff models in the Kolar river basin
Deepak Kumar Tiwari, Vijendra Kumar, Anuj Goyal, et al.
Results in Engineering (2024) Vol. 23, pp. 102682-102682
Open Access | Times Cited: 6

Residual energy evaluation in vortex structures: On the application of machine learning models
Mohammad Najafzadeh, Mohammad Mahmoudi-Rad
Results in Engineering (2024) Vol. 23, pp. 102792-102792
Open Access | Times Cited: 6

AI-driven forecasting of river discharge: the case study of the Himalayan mountainous river
Shakeel Ahmad Rather, Mahesh Patel, Kanish Kapoor
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access

Multi-approaches Evaluation for Prediction of Discharge Coefficient of Porous Broad-Crested Weirs Under Upstream Partial Blockage
Sanaz Hasanian Shirvan, Bahareh Pirzadeh, Seyed Hosein Rajaei, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access

Modeling sediment accumulation in Pare Reservoir using HEC-RAS 2D: Assessing storage capacity over a 10-year period
Filli Pratama, Siska Wulandari, Faizal Immaddudin Wira Rohmat
Results in Engineering (2025), pp. 104333-104333
Open Access

A residual learning-based grey system model and its applications in Electricity Transformer’s Seasonal oil temperature forecasting
Yiwu Hao, Xin Ma, Lili Song, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110260-110260
Closed Access

Streamlining the monitoring and assessment of irrigation groundwater quality using machine learning techniques
Ahmed Makhlouf, Mustafa El-Rawy, Shinjiro Kanae, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 5
Open Access

An optimized machine learning framework for predicting and interpreting corporate ESG greenwashing behavior
Fanlong Zeng, Jintao Wang, Chaoyan Zeng
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0316287-e0316287
Open Access

Climate-resilient urban drainage planning: An approach using a GIS-based SCS-CN model
Md. Habibul Huq, Md. Mafizur Rahman, G. M. Jahid Hasan
Journal of Water and Climate Change (2024) Vol. 15, Iss. 7, pp. 2978-2991
Open Access | Times Cited: 1

Hydrological responses projection to the potential impact of climate change under CMIP6 models scenarios in Omo River Basin, Ethiopia
Tolera Abdissa Feyissa, Tamene Adugna Demissie, Fokke Saathoff, et al.
Results in Engineering (2024) Vol. 23, pp. 102708-102708
Open Access | Times Cited: 1

Classification techniques for renewable energy: identifying renewable energy sources and features
Saif Ali Akhtar, Dikeshwar Kurre, Sandeep Samantaray
Elsevier eBooks (2024), pp. 241-279
Closed Access | Times Cited: 1

A new method for monthly streamflow prediction using multi-source data: Range-dependent multivariate adaptive regression splines-genetic algorithm
Mariam Idowu, Christoph Külls, Özgür Kişi
Hydrological Sciences Journal (2024) Vol. 69, Iss. 13, pp. 1860-1880
Closed Access

Comparison of different machine learning methods in river streamflow estimation using isovel contours and hydraulic variables
Mahmoud F. Maghrebi, Sajjad M. Vatanchi
International Journal of River Basin Management (2024), pp. 1-18
Closed Access

A Surrogate Machine Learning Model Using Random Forests for Real-Time Flood Inundation Simulations
Santosh Kumar Sasanapuri, C. T. Dhanya, A. K. Gosain
(2024)
Closed Access

Real-time AIoT platform for monitoring and prediction of air quality in Southwestern Morocco
Abdellatif Bekkar, Badr Hssina, Najib Abekiri, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0307214-e0307214
Open Access

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