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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:

Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data
Rana Muhammad Adnan, Reham R. Mostafa, Hongliang Dai, et al.
Engineering Applications of Computational Fluid Mechanics (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Forecasting wholesale prices of yellow corn through the Gaussian process regression
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8693-8710
Closed Access | Times Cited: 122
Hybrid soft computing models for predicting unconfined compressive strength of lime stabilized soil using strength property of virgin cohesive soil
Ismehen Taleb Bahmed, Jitendra Khatti, Kamaldeep Singh Grover
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 1
Closed Access | Times Cited: 29
Grid search with a weighted error function: Hyper-parameter optimization for financial time series forecasting
Yuan Zhao, Weiguo Zhang, Xiufeng Liu
Applied Soft Computing (2024) Vol. 154, pp. 111362-111362
Open Access | Times Cited: 28
A multi-scale analysis method with multi-feature selection for house prices forecasting
Jin Shao, Lean Yu, Nengmin Zeng, et al.
Applied Soft Computing (2025), pp. 112779-112779
Closed Access | Times Cited: 2
Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature
Mehdi Gheisari, Jana Shafi, Saeed Kosari, et al.
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access | Times Cited: 1
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
Novel evolutionary-optimized neural network for predicting landslide susceptibility
Rana Muhammad Adnan Ikram, Imran Khan, Hossein Moayedi, et al.
Environment Development and Sustainability (2023) Vol. 26, Iss. 7, pp. 17687-17719
Closed Access | Times Cited: 24
A new combined approach of neural-metaheuristic algorithms for predicting and appraisal of landslide susceptibility mapping
Hossein Moayedi, Atefeh Ahmadi Dehrashid
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 34, pp. 82964-82989
Open Access | Times Cited: 23
Evaluation of CatBoost Method for Predicting Weekly Pan Evaporation in Subtropical and Sub-Humid Regions
Dinesh Kumar Vishwakarma, Pankaj Kumar, Krishna Kumar Yadav, et al.
Pure and Applied Geophysics (2024) Vol. 181, Iss. 2, pp. 719-747
Open Access | Times Cited: 12
Association mining based deep learning approach for financial time-series forecasting
Tanya Srivastava, Ishita Mullick, Jatin Bedi
Applied Soft Computing (2024) Vol. 155, pp. 111469-111469
Closed Access | Times Cited: 9
Drought index time series forecasting via three-in-one machine learning concept for the Euphrates basin
Levent Latifoğlu, Savaş Bayram, Gaye Aktürk, et al.
Earth Science Informatics (2024)
Closed Access | Times Cited: 8
Stock trend prediction based on dynamic hypergraph spatio-temporal network
Sihao Liao, Liang Xie, Yuanchuang Du, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111329-111329
Closed Access | Times Cited: 7
Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector
Guimei Wang, Azfarizal Mukhtar, Hossein Moayedi, et al.
Energy (2024) Vol. 298, pp. 131312-131312
Closed Access | Times Cited: 7
Prediction of Flyrock Distance in Surface Mining Using a Novel Hybrid Model of Harris Hawks Optimization with Multi-strategies-based Support Vector Regression
Chuanqi Li, Jian Zhou, Kun Du, et al.
Natural Resources Research (2023) Vol. 32, Iss. 6, pp. 2995-3023
Closed Access | Times Cited: 17
SMGformer: integrating STL and multi-head self-attention in deep learning model for multi-step runoff forecasting
Wenchuan Wang, M. H. Gu, Yang-hao Hong, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Reservoir evaporation prediction with integrated development of deep neural network models and meta-heuristic algorithms (Case study: Dez Dam)
Reza Farzad, Ahmad Sharafati, Farshad Ahmadi, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
SDSINet: A spatiotemporal dual-scale interaction network for traffic prediction
Shiyu Yang, Qunyong Wu
Applied Soft Computing (2025), pp. 112892-112892
Closed Access
Estimating reservoir evaporation rate: fusing remotely sensed solar radiation and temperature features with machine learning algorithms
Kidist Demessie Eshetu, Tesema Kebede Seifu, Tena Alamirew, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 3
Closed Access
Long-short Term Cross Echo State Network for time series forecasting task
Dongchen Jiang, Li Cui, Yi Zeng, et al.
Applied Soft Computing (2025), pp. 112997-112997
Closed Access
Optimized echo state network for error compensation based on transfer learning
Yingqin Zhu, Yue Liu, Zhaozhao Zhang, et al.
Applied Soft Computing (2025), pp. 112935-112935
Open Access
Effective air pollution prediction by combining time series decomposition with stacking and bagging ensembles of evolving spiking neural networks
Piotr S. Maciąg, Robert Bembenik, Aleksandra Piekarzewicz, et al.
Environmental Modelling & Software (2023) Vol. 170, pp. 105851-105851
Open Access | Times Cited: 15
Super learner approach to predict total organic carbon using stacking machine learning models based on well logs
Leonardo Goliatt, Camila Martins Saporetti, Egberto Pereira
Fuel (2023) Vol. 353, pp. 128682-128682
Closed Access | Times Cited: 13
Bias learning improves data driven models for streamflow prediction
Yongen Lin, Dagang Wang, Meng Yue, et al.
Journal of Hydrology Regional Studies (2023) Vol. 50, pp. 101557-101557
Open Access | Times Cited: 11
Gaussian mutation-alpine skiing optimization algorithm-recurrent attention unit-gated recurrent unit-extreme learning machine model: an advanced predictive model for predicting evaporation
Mohammad Ehteram, Fatemeh Barzegari Banadkooki, Mahdie Afshari Nia
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 5, pp. 1803-1830
Closed Access | Times Cited: 3
Surface roughness prediction and roughness reliability evaluation of CNC milling based on surface topography simulation
Ziling Zhang, Xiaodong Lv, Baobao Qi, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024) Vol. 26, Iss. 2
Open Access | Times Cited: 3
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