The International Journal of Advanced Manufacturing Technology

JournalCitation impact & published research

The International Journal of Advanced Manufacturing Technology is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 31,237 works, 736,799 citations, an h-index of 199 and an APC (USD) of 3,590.

31,237

Works

736,799

Citations

199

h-index

3,590

APC (USD)

IDs:OpenAlex

What are the most-cited papers on The International Journal of Advanced Manufacturing Technology?

ScholarIQmost cited works

Balling behavior of stainless steel and nickel powder during selective laser melting process

Ruidi Li, Jinhui Liu, Yusheng Shi, Li Wang, Wei Jiang

The International Journal of Advanced Manufacturing Technology. 2011705 Citations

Influence of process parameters on part quality and mechanical properties for DMLS and SLM with iron-based materials

Jordi Delgado Martín, Joaquim Ciurana, Ciro A. Rodrı́guez

The International Journal of Advanced Manufacturing Technology. 2011299 Citations

3D printing of shape memory polymer for functional part fabrication

Yang Yang, Yonghua Chen, Ying Wei, Yingtian Li

The International Journal of Advanced Manufacturing Technology. 2015290 Citations

The research status and development trend of additive manufacturing technology

Chen Lian, Yong He, Yingxin Yang, Shiwei Niu, Haitao Ren

The International Journal of Advanced Manufacturing Technology. 2016281 Citations

Recent advances in surface defect inspection of industrial products using deep learning techniques

Xiaoqing Zheng, Song Zheng, Yaguang Kong, Jie Chen

The International Journal of Advanced Manufacturing Technology. 2021275 Citations

Related on ScholarIQ

Balling behavior of stainless steel and nickel powder during selective laser melting process

Paper

Influence of process parameters on part quality and mechanical properties for DMLS and SLM with iron-based materials

Paper

3D printing of shape memory polymer for functional part fabrication

Paper

The research status and development trend of additive manufacturing technology

Paper

Recent advances in surface defect inspection of industrial products using deep learning techniques

Paper

A multi-objective relief chain location distribution model for urban disaster management

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