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:

Design of T-shaped tube hydroforming using finite element and artificial neural network modeling
Fethi Abbassi, Furqan Ahmad, Sana Gulzar, et al.
Journal of Mechanical Science and Technology (2020) Vol. 34, Iss. 3, pp. 1129-1138
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Multi-objective mixture design and optimisation of steel fiber reinforced UHPC using machine learning algorithms and metaheuristics
Ehsan Sadrossadat, Hakan Başarır, Ali Karrech, et al.
Engineering With Computers (2021) Vol. 38, Iss. S3, pp. 2569-2582
Closed Access | Times Cited: 49

Prediction of forming limits and forming limit diagram (FLD) for tubes of AISI304
M. Krishnamraju, Sandeep Sahu, P. Venkateshwar Reddy, et al.
International Journal on Interactive Design and Manufacturing (IJIDeM) (2025)
Closed Access

Experimental and numerical investigation of sheet metal failure based on Johnson-Cook model and Erichsen test over a wide range of temperatures
Mohamed Toumi Nasri, Fethi Abbassi, Furqan Ahmad, et al.
Mechanics of Advanced Materials and Structures (2022) Vol. 30, Iss. 10, pp. 2087-2100
Closed Access | Times Cited: 19

Hydroforming process of complex T-shaped tubular parts of nickel-based superalloy
Xiao-Lei Cui, Bugang Teng, Shijian Yuan
CIRP journal of manufacturing science and technology (2021) Vol. 32, pp. 476-490
Closed Access | Times Cited: 19

Optimization of bi-layered Y-shaped tube hydroforming using RSM
Yingying Feng, Yue Jia, Sun Xiao-qian, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 1-2, pp. 521-541
Closed Access | Times Cited: 2

Predictions of formability parameters in tube hydroforming process
Bapurao G. Marlapalle, Rahulkumar Shivajirao Hingole
SN Applied Sciences (2021) Vol. 3, Iss. 6
Open Access | Times Cited: 14

A review of emerging hydroforming technologies: design considerations, parametric studies, and recent innovations
Satish Chinchanikar, Harsh Mulik, Param Varude, et al.
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Closed Access | Times Cited: 1

Optimizing Sustainable Phytoextraction of Lead from Contaminated Soil Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)
Maria Manzoor, Usman Rauf Kamboh, Sumaira Gulshan, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11049-11049
Open Access | Times Cited: 4

A Review on Intelligent Control Theory and Applications in Process Optimization and Smart Manufacturing
Min‐Fan Ricky Lee
Processes (2023) Vol. 11, Iss. 11, pp. 3171-3171
Open Access | Times Cited: 4

Effect of loading paths on hydroforming ability of stepped hollow shaft components from double layer pipes
Quang Duc Vu, Trung Nguyen Dac, Hoa Van Dang, et al.
EUREKA Physics and Engineering (2023), Iss. 4, pp. 143-154
Open Access | Times Cited: 3

Numerical and experimental predictions of formability parameters in tube hydroforming process
Bapurao G. Marlapalle, Rahulkumar Shivajirao Hingole
Australian Journal of Mechanical Engineering (2021) Vol. 21, Iss. 3, pp. 991-1007
Closed Access | Times Cited: 6

Quality comparison of Y-shape joints by tube hydroforming with and without counterforce
Quang Duc Vu, Dinh Van Duy, Trung Nguyen Dac, et al.
EUREKA Physics and Engineering (2022), Iss. 4, pp. 46-56
Open Access | Times Cited: 4

Hybrid numerical modeling of ballistic clay under low-speed impact using artificial neural network
Yeonsu Kim, Yoon A. Kim, Seo Hwee Park, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 2, pp. 865-873
Open Access | Times Cited: 2

Numerical and experimental study on axial hydroforging process of 5A03 aluminium alloy S-shaped bellows
Qingfeng Wang, Guannan Chu, Lei Sun, et al.
The International Journal of Advanced Manufacturing Technology (2023) Vol. 127, Iss. 9-10, pp. 4413-4428
Closed Access | Times Cited: 2

Comparison of Axial Feed Options in Tube Hydrostatic Forming Process to the Quality of 60° Y-shaped Components Made of CDA110 Copper
Vũ Đức Quảng, Nguyen Dac Trung, Duong Hai Nam, et al.
Lecture notes in mechanical engineering (2024), pp. 393-404
Closed Access

Study on the Effect of Internal Pressure and Axial Feed in Tube Hydrostatic Forming Process of T-shaped Joints
Duc Quang Vu, Dac Trung Nguyen, Van Huy Chu, et al.
Lecture notes in mechanical engineering (2024), pp. 379-391
Closed Access

Hydrogen gaseous effects on fracture resistance of API-X70 estimated by XFEM
Dong‐Hyun Kim, Jae Min Sim, Yoon‐Suk Chang, et al.
Journal of Mechanical Science and Technology (2021) Vol. 35, Iss. 9, pp. 3829-3835
Closed Access | Times Cited: 4

Improvement of Formability in Parallel Double-Branched Tube Hydroforming Combined with Pre-Forming and Crushing Processes
Mingtao Chen, Jinhao Hu, Yunya Xiao, et al.
Materials (2024) Vol. 17, Iss. 6, pp. 1327-1327
Open Access

Precision allocation optimization modeling of large-scale CNC hobbing machine based on precision reliability
Zongyan Hu, Shilong Wang, Chi Ma
Journal of Mechanical Science and Technology (2023)
Closed Access | Times Cited: 1

An Investigation on Forming and Fracture Behavior of Austenitic Stainless Steel Tubes
M. Krishnamraju, P. Venkateshwar Reddy, Peeyush Mahajan, et al.
Journal of Advanced Manufacturing Systems (2023) Vol. 23, Iss. 01, pp. 115-132
Closed Access | Times Cited: 1

Effect of a Multiple Reduction Die on the Residual Stress of Drawn Materials
Jeong-Hun Kim, Changhyun Baek, Sang-Kon Lee, et al.
Materials (2021) Vol. 14, Iss. 6, pp. 1358-1358
Open Access | Times Cited: 3

A New Semi-Analytical Solution for an Arbitrary Hardening Law and Its Application to Tube Hydroforming
Stanislav Strashnov, Sergei Alexandrov, Lihui Lang
Materials (2022) Vol. 15, Iss. 17, pp. 5888-5888
Open Access | Times Cited: 2

Design of Hydraulic Bulging Die for Automobile Torsion Beam and Optimization of Forming Process Parameters
Kefan Yang, Youmin Wang, Kexun Fu
Advances in Materials Science and Engineering (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 2

Experimental Study of Hydroformed Al6061T4 Elliptical Tube Samples under Different Internal Pressures
Md. Meraz, Santosh Kumar, Ravi Singh
EMITTER International Journal of Engineering Technology (2022), pp. 351-369
Open Access | Times Cited: 1

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