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:

Hybridised Artificial Neural Network Model with Slime Mould Algorithm: A Novel Methodology for Prediction of Urban Stochastic Water Demand
Salah L. Zubaidi, Iqbal H. Abdulkareem, Khalid Hashim, et al.
Water (2020) Vol. 12, Iss. 10, pp. 2692-2692
Open Access | Times Cited: 150

Showing 26-50 of 150 citing articles:

Optimization of low-impact development facilities in urban areas using slime mould algorithm
Mehrtash Eskandaripour, Mohammad H. Golmohammadi, Shahrokh Soltaninia
Sustainable Cities and Society (2023) Vol. 93, pp. 104508-104508
Closed Access | Times Cited: 12

Application of hybrid machine learning models and data pre-processing to predict water level of watersheds: Recent trends and future perspective
Sarah Jasim Mohammed, Salah L. Zubaidi, Sandra Ortega‐Martorell, et al.
Cogent Engineering (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 21

A new approach based on biology-inspired metaheuristic algorithms in combination with random forest to enhance the flood susceptibility mapping
Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi‐Niaraki, Soo-Mi Choi
Journal of Environmental Management (2023) Vol. 345, pp. 118790-118790
Closed Access | Times Cited: 11

An interval water demand prediction method to reduce uncertainty: A case study of Sichuan Province, China
Xinyu Xia, Bin Liu, Rui Tian, et al.
Environmental Research (2023) Vol. 238, pp. 117143-117143
Closed Access | Times Cited: 11

Review of Recent Trends in the Hybridisation of Preprocessing-Based and Parameter Optimisation-Based Hybrid Models to Forecast Univariate Streamflow
Baydaa Abdul Kareem, Salah L. Zubaidi, Nadhir Al‐Ansari, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 1, pp. 1-41
Open Access | Times Cited: 11

Adaptive opposition slime mold algorithm for time–cost–quality–safety trade-off for construction projects
Vu Hong Son Pham, Luu Ngoc Quynh Khoi
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 7, pp. 1927-1942
Closed Access | Times Cited: 10

Optimization in Construction Management Using Adaptive Opposition Slime Mould Algorithm
Vu Hong Son Pham, Luu Ngoc Quynh Khoi
Advances in Civil Engineering (2023) Vol. 2023, pp. 1-20
Open Access | Times Cited: 10

A hybrid slime mould algorithm for global optimization
Prasanjit Chakraborty, Sukanta Nama, Apu Kumar Saha
Multimedia Tools and Applications (2022) Vol. 82, Iss. 15, pp. 22441-22467
Closed Access | Times Cited: 17

Building projects with time–cost–quality–environment trade-off optimization using adaptive selection slime mold algorithm
Vu Hong Son Pham, Luu Ngoc Quynh Khoi
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 5, pp. 1333-1350
Open Access | Times Cited: 8

Hybridization of soft-computing algorithms with neural network for prediction obstructive sleep apnea using biomedical sensor measurements
Mustafa Habeeb Chyad, Sadik Kamel Gharghan, Haider Qasim Hamood, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 11, pp. 8933-8957
Closed Access | Times Cited: 13

Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network‐Based Marine Predators Algorithm
Sarah Jasim Mohammed, Salah L. Zubaidi, Nadhir Al‐Ansari, et al.
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 13

FP-SMA: an adaptive, fluctuant population strategy for slime mould algorithm
Jassim Al-Fadhli, Ali Jaragh, Mohammad Gh. Alfailakawi, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 13, pp. 11163-11175
Open Access | Times Cited: 12

SSMA: simplified slime mould algorithm for optimization wireless sensor network coverage problem
Yuanye Wei, Xiuxi Wei, Huajuan Huang, et al.
Systems Science & Control Engineering (2022) Vol. 10, Iss. 1, pp. 662-685
Open Access | Times Cited: 12

Indoor Localization for the Blind Based on the Fusion of a Metaheuristic Algorithm with a Neural Network Using Energy-Efficient WSN
Sadik Kamel Gharghan, Rasha Diaa Al-kafaji, Siraj Qays Mahdi, et al.
Arabian Journal for Science and Engineering (2022) Vol. 48, Iss. 5, pp. 6025-6052
Closed Access | Times Cited: 12

Tuning ANN Hyperparameters by CPSOCGSA, MPA, and SMA for Short-Term SPI Drought Forecasting
Mustafa A. Alawsi, Salah L. Zubaidi, Nadhir Al‐Ansari, et al.
Atmosphere (2022) Vol. 13, Iss. 9, pp. 1436-1436
Open Access | Times Cited: 12

Factors Influencing Analysis for Level of Engineering English Education Based on Artificial Intelligence Technology
Mengqing Zhu
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 12

Predicting the consumed heating energy at residential buildings using a combination of categorical boosting (CatBoost) and Meta heuristics algorithms
He Dasi, Ying Zhang, Boyuan Yang
Journal of Building Engineering (2023) Vol. 71, pp. 106584-106584
Closed Access | Times Cited: 7

Improving multilayer perceptron neural network using two enhanced moth-flame optimizers to forecast iron ore prices
Iyad Abu Doush, Basem H.A. Ahmed, Mohammed A. Awadallah, et al.
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 2

Artificial neural network training using a multi selection artificial algae algorithm
Murat Karakoyun
Engineering Science and Technology an International Journal (2024) Vol. 53, pp. 101684-101684
Open Access | Times Cited: 2

Interdisciplinary analysis and optimization of digital photonic devices for meta-photonics
Xiaohua Xing, Yuqi Ren, Die Zou, et al.
iScience (2024) Vol. 27, Iss. 6, pp. 109838-109838
Open Access | Times Cited: 2

Optimal low-impact development Facility Design in Urban Environments: A multidimensional optimization approach employing slime mould and nondominated sorting genetic algorithms
Mehrtash Eskandaripour, Shahrokh Soltaninia
Urban Climate (2024) Vol. 55, pp. 101963-101963
Closed Access | Times Cited: 2

An Enhanced Slime Mould Algorithm and Its Application for Digital IIR Filter Design
Xiaodan Liang, Dong Wu, Yang Liu, et al.
Discrete Dynamics in Nature and Society (2021) Vol. 2021, pp. 1-23
Open Access | Times Cited: 17

Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making
Beibei Shi, Hua Ye, Jian Zheng, et al.
IEEE Access (2021) Vol. 9, pp. 121996-122015
Open Access | Times Cited: 16

Performance evaluation of hybrid YYPO-RF, BWOA-RF and SMA-RF models to predict plastic zones around underground powerhouse caverns
Jian Zhou, Yuxin Chen, Weixun Yong
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2022) Vol. 8, Iss. 6
Closed Access | Times Cited: 11

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