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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:

A support vector regression (SVR)-based method for dynamic load identification using heterogeneous responses under interval uncertainties
Yaru Liu, Lei Wang, Kaixuan Gu
Applied Soft Computing (2021) Vol. 110, pp. 107599-107599
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Artificial Neural Network (ANN) - Bayesian Probability Framework (BPF) based method of dynamic force reconstruction under multi-source uncertainties
Yaru Liu, Lei Wang, Kaixuan Gu, et al.
Knowledge-Based Systems (2021) Vol. 237, pp. 107796-107796
Closed Access | Times Cited: 116
Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm
Jian Zhou, Shuangli Zhu, Yingui Qiu, et al.
Acta Geotechnica (2022) Vol. 17, Iss. 4, pp. 1343-1366
Closed Access | Times Cited: 111
Time-dependent reliability-based optimization for structural-topological configuration design under convex-bounded uncertain modeling
Sheng Wang, Yaru Liu, Min Li
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108361-108361
Closed Access | Times Cited: 81
Improvement of laser welded TC4/CFRTP joint strength by combination of surface modification of MAO and laser texturing
Hongbo Xia, Baiyun Yang, Jianhui Su, et al.
Thin-Walled Structures (2023) Vol. 196, pp. 111409-111409
Open Access | Times Cited: 68
Multiobjective-clustering-based optimal heterogeneous sensor placement method for thermo-mechanical load identification
Yaru Liu, Lei Wang
International Journal of Mechanical Sciences (2023) Vol. 253, pp. 108369-108369
Closed Access | Times Cited: 45
Uncertainty quantification for structural response field with ultra-high dimensions
Lixiong Cao, Yue Zhao
International Journal of Mechanical Sciences (2024) Vol. 271, pp. 109110-109110
Closed Access | Times Cited: 17
Machine Learning Approach for Prediction and Reliability Analysis of Failure Strength of U-Shaped Concrete Samples Joined with UHPC and PUC Composites
Sadi Ibrahim Haruna, Yasser E. Ibrahim, Ibrahim Khalil Umar
Journal of Composites Science (2025) Vol. 9, Iss. 1, pp. 23-23
Open Access | Times Cited: 1
A distributed dynamic load identification method based on the hierarchical-clustering-oriented radial basis function framework using acceleration signals under convex-fuzzy hybrid uncertainties
Yaru Liu, Lei Wang, Min Li, et al.
Mechanical Systems and Signal Processing (2022) Vol. 172, pp. 108935-108935
Open Access | Times Cited: 66
Machine learning and optimization models for supplier selection and order allocation planning
Samiul Islam, Saman Hassanzadeh Amin, Leslie J. Wardley
International Journal of Production Economics (2021) Vol. 242, pp. 108315-108315
Closed Access | Times Cited: 62
Evaluation of energy extraction of PV systems affected by environmental factors under real outdoor conditions
Muhammed A. Hassan, Nadjem Bailek, Kada Bouchouicha, et al.
Theoretical and Applied Climatology (2022) Vol. 150, Iss. 1-2, pp. 715-729
Open Access | Times Cited: 60
A novel dynamic reliability-based topology optimization (DRBTO) framework for continuum structures via interval-process collocation and the first-passage theories
Sheng Wang, Yaru Liu, Dongliang Liu, et al.
Computer Methods in Applied Mechanics and Engineering (2021) Vol. 386, pp. 114107-114107
Open Access | Times Cited: 58
Improved weighted ensemble learning for predicting the daily reference evapotranspiration under the semi-arid climate conditions
El-Sayed M. El-kenawy, Bilel Zerouali, Nadjem Bailek, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 54, pp. 81279-81299
Closed Access | Times Cited: 43
Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation
Chuanqi Li, Xiancheng Mei
Applied Soft Computing (2023) Vol. 147, pp. 110808-110808
Closed Access | Times Cited: 23
Adaptive drive-based integration technique for predicting rheological and mechanical properties of fresh gangue backfill slurry
Chaowei Dong, Jianfei Xu, Nan Zhou, et al.
Case Studies in Construction Materials (2025), pp. e04346-e04346
Open Access
Hybridizing Grid Search and Support Vector Regression to Predict the Compressive Strength of Fly Ash Concrete
Fei Tang, Yanqi Wu, Yisong Zhou
Advances in Civil Engineering (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 27
Prediction and uncertainty quantification of compressive strength of high‐strength concrete using optimized machine learning algorithms
Bing Han, Yanqi Wu, Lulu Liu
Structural Concrete (2022) Vol. 23, Iss. 6, pp. 3772-3785
Closed Access | Times Cited: 26
Quantification, localization, and reconstruction of impact force on interval composite structures
Yaru Liu, Lei Wang
International Journal of Mechanical Sciences (2022) Vol. 239, pp. 107873-107873
Closed Access | Times Cited: 26
Optimization of initial main steam pressure under ultra-low loads of a steam turbine based on machine learning
Di Liu, Xuemin Ye, Yu Zheng, et al.
Energy (2025), pp. 134512-134512
Closed Access
Support Vector Machines in Polymer Science: A Review
Ivan Malashin, В С Тынченко, Andrei Gantimurov, et al.
Polymers (2025) Vol. 17, Iss. 4, pp. 491-491
Open Access
Ordered Weighted Average Support Vector Regression
Luisa I. Martínez-Merino, Justo Puerto, Antonio M. Rodríguez‐Chía
Expert Systems with Applications (2025), pp. 126882-126882
Closed Access
Impact load identification by training a convolutional neural network (CNN) with physics-based simulator under uncertainty
Rafiq Ibrahim Alhaddad, Hongki Jo, Jong‐Hyun Jeong
Advances in Structural Engineering (2025)
Closed Access
Random vibration load identification of a cylindrical structure using data Deep Recurrent Neural Network
Qinshan Ouyang, Longlei Dong, Jiaming Zhou, et al.
International Journal of Applied Electromagnetics and Mechanics (2025)
Closed Access
A Recurrent Neural Network-Based Method for Dynamic Load Identification of Beam Structures
Yang Hongji, Jinhui Jiang, Guoping Chen, et al.
Materials (2021) Vol. 14, Iss. 24, pp. 7846-7846
Open Access | Times Cited: 27
Hybrid dynamic risk modelling for safety critical equipment on offshore installations
Yue Han, Xingwei Zhen, Yi Huang
Process Safety and Environmental Protection (2021) Vol. 156, pp. 482-495
Closed Access | Times Cited: 24
Kalman filter–random forest‐based method of dynamic load identification for structures with interval uncertainties
Yaru Liu, Lei Wang, Min Li
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 5
Open Access | Times Cited: 18
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