Open Access Helper

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 Kernel Extreme Learning Machine-Grey Wolf Optimizer (KELM-GWO) Model to Predict Uniaxial Compressive Strength of Rock
Chuanqi Li, Jian Zhou, Daniel Dias, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8468-8468
Open Access | Times Cited: 34

Showing 26-50 of 34 citing articles:

Sample-wised probabilistic stability analysis of circular shafts using the Atom Search Optimization-based Artificial Neural Network
Tingting Zhang, Lu An, Daniel Dias, et al.
Engineering Structures (2023) Vol. 294, pp. 116718-116718
Open Access | Times Cited: 7
Optimized kernel extreme learning machine using Sine Cosine Algorithm for prediction of unconfined compression strength of MICP cemented soil
Shuquan Peng, Qiangzhi Sun, Ling Fan, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 17, pp. 24868-24880
Closed Access | Times Cited: 2
Enhancing IOT based software defect prediction in analytical data management using war strategy optimization and Kernel ELM
Islam Zada, Abdullah Alshammari, Ahmad A. Mazhar, et al.
Wireless Networks (2023) Vol. 30, Iss. 9, pp. 7207-7225
Closed Access | Times Cited: 6
Soil water content estimation by using ground penetrating radar data full waveform inversion with grey wolf optimizer algorithm
Minghe Zhang, Xuan Feng, Maksim Bano, et al.
Vadose Zone Journal (2024)
Open Access | Times Cited: 2
Optimization of Rock Mechanical Properties Prediction Model Based on Block Database
Yakai Tian, Fujian Zhou, Longqiao Hu, et al.
Rock Mechanics and Rock Engineering (2023) Vol. 56, Iss. 8, pp. 5955-5978
Closed Access | Times Cited: 5
Foretelling the compressive strength of bamboo using machine learning techniques
Saurabh Dubey, Deepak Gupta, Mainak Mallik
Engineering Computations (2024)
Closed Access | Times Cited: 1
Intelligent prediction and visual optimization of surface settlement induced by earth pressure balance shield tunneling
Chuanqi Li, Daniel Dias
Tunnelling and Underground Space Technology (2024) Vol. 154, pp. 106138-106138
Closed Access | Times Cited: 1
Application of Back-Propagation Neural Network in the Post-Blast Re-Entry Time Prediction
Jinrui Zhang, Chuanqi Li, Tingting Zhang
Knowledge (2023) Vol. 3, Iss. 2, pp. 128-148
Open Access | Times Cited: 3
Production Forecasting and History Matching of Hydraulically Fractured Reservoirs Using a Pressure Depletion Volume (PDV) Method
Yakai Tian, Ruud Weijermars
Day 2 Tue, February 22, 2022 (2024)
Closed Access
Predicting the unconfined compressive strength of stabilized soil using random forest coupled with meta-heuristic algorithms
Yanjun Li
Journal of Ambient Intelligence and Humanized Computing (2024)
Closed Access
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