General Engineering | Engineering Journals

London Journal of Engineering Research

F: General Engineering

Introduction

London Journal of Engineering Research is an international journal for research papers and articles of various branches of engineering and its further streams. Our primary objective is to provide publication following eminent standards to researchers, scientists, professionals, and scholars.

Objective

General engineering is an exhaustive and interdisciplinary program in basic sciences, engineering design, and engineering sciences, which highlights real-world problem‐solving using unique orientation toward partnerships with industry. It includes domains like robotics, engineering marketing, engineering administration, geography, fluid dynamics, industrial psychology and organizational behavior, quantitative research, environmental quality etc.

Submit Research Paper Guide and timeline to publish with us

Licensing

Creative Commons Licensed

Access Type

Open & Hybrid Access Available

Copyrights

Author Retains Unrestricted Copyrights

Identifier

DOI
(Digital Object Identifier)

Indexing

In all relevant organizations

Acknowledgements

We are thankful to Research Councils UK (http://www.rcuk.ac.uk/), Australian-European Network (AEN), The Utrecht Network (UN) and Natural Sciences and Engineering Research Council of Canada.
We respect the standards of Engineering & Physical Sciences Research Council (EPSRC), Science and Technology Facilities Council (STFC)
Indexed classification system: We are thankful to Australian and New Zealand Standard Research Classification (ANZSRC): FOR and Science Council of Japan (SCJ): JRECIN.

DOI: 10.17472/LJER
(Print) ISSN 2631-8474
(Online) ISSN 2631-8482

CODESIGN: LJER
Society Accreditation: Yes | Active

Recommend To Librarian

Latest Issue

Volume: 20 | Issue: 1 | Compilation: 1

Read Online

Introducing DeepReview

Artificial Intelligence Based 3rd Peer Reviewer

Meet DeepReview, our 3rd reviewer in the extensive double-blind peer-review process. It's a new generation of Artifical Intelligence that works on deep neural network of machine learning to review research papers. At London Journals Press, we follow an exhaustive process of peer-review, and each article is reviewed by at least two peer reviewers and a team of editorial board members. DeepReview acts as the third peer reviewer that can detect writing styles, plagiarism (for the second time), grammar, contextual spellings, vocabulary, and quality of the article without any human biasing