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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:

Optimization of SVR functions for flyrock evaluation in mine blasting operations
Jiandong Huang, Junhua Xue
Environmental Earth Sciences (2022) Vol. 81, Iss. 17
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Prediction of Compressive Strength of Geopolymer Concrete Landscape Design: Application of the Novel Hybrid RF–GWO–XGBoost Algorithm
Jun Zhang, Ranran Wang, Yijun Lü, et al.
Buildings (2024) Vol. 14, Iss. 3, pp. 591-591
Open Access | Times Cited: 26
Towards Designing Durable Sculptural Elements: Ensemble Learning in Predicting Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete
Ranran Wang, Jun Zhang, Yijun Lü, et al.
Buildings (2024) Vol. 14, Iss. 2, pp. 396-396
Open Access | Times Cited: 19
Building the future: Smart concrete as a key element in next-generation construction
Qiong Tian, Ji Zhou, Jingwei Hou, et al.
Construction and Building Materials (2024) Vol. 429, pp. 136364-136364
Closed Access | Times Cited: 18
Mechanical Framework for Geopolymer Gels Construction: An Optimized LSTM Technique to Predict Compressive Strength of Fly Ash-Based Geopolymer Gels Concrete
Xuyang Shi, Shuzhao Chen, Qiang Wang, et al.
Gels (2024) Vol. 10, Iss. 2, pp. 148-148
Open Access | Times Cited: 17
Decision tree models for the estimation of geo-polymer concrete compressive strength
Ji Zhou, Zhanlin Su, Shahab Hosseini, et al.
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 1413-1444
Open Access | Times Cited: 28
Underground Mine Safety and Health: A Hybrid MEREC–CoCoSo System for the Selection of Best Sensor
Qiang Wang, Tao Cheng, Yijun Lü, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1285-1285
Open Access | Times Cited: 16
Towards a Reliable Design of Geopolymer Concrete for Green Landscapes: A Comparative Study of Tree-Based and Regression-Based Models
Ranran Wang, Jun Zhang, Yijun Lü, et al.
Buildings (2024) Vol. 14, Iss. 3, pp. 615-615
Open Access | Times Cited: 13
Evaluation and Interpretation of Blasting-Induced Tunnel Overbreak: Using Heuristic-Based Ensemble Learning and Gene Expression Programming Techniques
Yingui Qiu, Jian Zhou, Biao He, et al.
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 9, pp. 7535-7563
Closed Access | Times Cited: 12
Predicting the International Roughness Index of JPCP and CRCP Rigid Pavement: A Random Forest (RF) Model Hybridized with Modified Beetle Antennae Search (MBAS) for Higher Accuracy
Ji Zhou, Mengmeng Zhou, Qiang Wang, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 139, Iss. 2, pp. 1557-1582
Open Access | Times Cited: 11
Supplementary cementitious materials-based concrete porosity estimation using modeling approaches: A comparative study of GEP and MEP
Qiong Tian, Yijun Lü, Ji Zhou, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Closed Access | Times Cited: 8
A comparative analysis of hybrid RF models for efficient lithology prediction in hard rock tunneling using TBM working parameters
Jian Zhou, Peixi Yang, Weixun Yong, et al.
Acta Geophysica (2024) Vol. 72, Iss. 3, pp. 1847-1866
Closed Access | Times Cited: 6
Understanding Penetration Attenuation of Permeable Concrete: A Hybrid Artificial Intelligence Technique Based on Particle Swarm Optimization
Fei Zhu, Xiangping Wu, Yijun Lü, et al.
Buildings (2024) Vol. 14, Iss. 4, pp. 1173-1173
Open Access | Times Cited: 6
Compressive strength of waste-derived cementitious composites using machine learning
Qiong Tian, Yijun Lü, Ji Zhou, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 6
The Potential of Multi-Task Learning in CFDST Design: Load-Bearing Capacity Design with Three MTL Models
Zhenyu Wang, Jian Zhou, Kang Peng
Materials (2024) Vol. 17, Iss. 9, pp. 1994-1994
Open Access | Times Cited: 3
Compressive and tensile strength estimation of sustainable geopolymer concrete using contemporary boosting ensemble techniques
Ji Zhou, Qiong Tian, Ayaz Ahmad, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 3
Evaluating and correlating asphalt binder and mixture fatigue properties considering aging conditions
Runhua Zhang, Tao Cheng, Yijun Lü, et al.
Construction and Building Materials (2024) Vol. 436, pp. 136356-136356
Closed Access | Times Cited: 3
Mixture Optimization of Cementitious Materials Using Machine Learning and Metaheuristic Algorithms: State of the Art and Future Prospects
Yaxin Song, Xudong Wang, Houchang Li, et al.
Materials (2022) Vol. 15, Iss. 21, pp. 7830-7830
Open Access | Times Cited: 12
Optimized Data-Driven Models for Prediction of Flyrock due to Blasting in Surface Mines
Xiaohua Ding, Mehdi Jamei, Mahdi Hasanipanah, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 8424-8424
Open Access | Times Cited: 7
Toward a Comprehensive Evaluation of Student Knowledge Assessment for Art Education: A Hybrid Approach by Data Mining and Machine Learning
Shan Wang, Hongtao Wang, Yijun Lü, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5020-5020
Open Access | Times Cited: 2
Ensemble learning models to predict the compressive strength of geopolymer concrete: a comparative study for geopolymer composition design
Qiong Tian, Zhanlin Su, Nicholas Fiorentini, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 3, pp. 1793-1806
Closed Access | Times Cited: 6
A comprehensive survey on machine learning applications for drilling and blasting in surface mining
V. S. K. R. Munagala, Srikanth Thudumu, Irini Logothetis, et al.
Machine Learning with Applications (2023) Vol. 15, pp. 100517-100517
Open Access | Times Cited: 6
A Novel MBAS-RF Approach to Predict Mechanical Properties of Geopolymer-Based Compositions
Shuzhao Chen, Mengmeng Zhou, Xuyang Shi, et al.
Gels (2023) Vol. 9, Iss. 6, pp. 434-434
Open Access | Times Cited: 5
Development of a prior model to predict the cracking performance of asphalt mixture in general for asphalt material selection and mix design
Runhua Zhang, Hui Chen, Hongzhen Guo, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 4
Prediction and Minimization of Blasting Flyrock Distance, Using Deep Neural Networks and Gravitational Search Algorithm, JAYA, and Multi-Verse Optimization algorithms
Eslam Ghojoghi, Mohamad Ali Ebrahimi Farsangi, H. R. Mansouri, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e37876-e37876
Open Access | Times Cited: 1
Enhancing Mine Blasting Safety: Developing Intelligent Systems for Accurate Flyrock Prediction through Optimized Group Method of Data Handling Methods
Xiaohua Ding, Mahdi Hasanipanah, Masoud Monjezi, et al.
Natural Resources Research (2024)
Closed Access | Times Cited: 1
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