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Results in Engineering
JournalCitation impact & published research
Results in Engineering is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 12,201 works, 121,441 citations, an h-index of 97 and an APC (USD) of 1,210.
12,201
Works
121,441
Citations
97
h-index
1,210
APC (USD)
IDs:OpenAlex
What are the most-cited papers on Results in Engineering?
ScholarIQmost cited works
Design of biosensor for synchronized identification of diabetes using deep learning
Ammar Armghan, J. Logeshwaran, S.M. Sutharshan, Khaled Aliqab, Meshari Alsharari, Shobhit K. Patel
Results in Engineering. 2023112 CitationsOPEN ACCESS
A state-of-the-art analysis of virtual reality applications in construction health and safety
Nelson Akindele, Ridwan Taiwo, Hadi Sarvari, Benjamin I. Oluleye, Imoleayo Abraham Awodele, Temitope Olufolahan Olaniran
Results in Engineering. 202443 CitationsOPEN ACCESS
Steel surface defect detection and segmentation using deep neural networks
Sara Ashrafi, Sobhan Teymouri, Sepideh Etaati, Javad Khoramdel, Yasamin Borhani, Esmaeil Najafi
Results in Engineering. 202540 CitationsOPEN ACCESS
The effect of lattice topology on the thermal and mechanical performance of additively manufactured polymer lattices
Saad Alqahtani, Turki Alqahtani, Hafız Muhammad Ali, Farukh Farukh, Karthikeyan Kandan
Results in Engineering. 202418 CitationsOPEN ACCESS
Stochastic energy management of DC photovoltaic microgrids using Markov decision process
Mohamed Aatabe, Rachid Latif, Mohamed I. Mosaad, Shimaa A. Hussien
Results in Engineering. 202512 CitationsOPEN ACCESS
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Design of biosensor for synchronized identification of diabetes using deep learning
Paper
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Steel surface defect detection and segmentation using deep neural networks
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The effect of lattice topology on the thermal and mechanical performance of additively manufactured polymer lattices
Paper
Stochastic energy management of DC photovoltaic microgrids using Markov decision process
Paper
A novel AVOA optimized DNN-BiLSTM-attention model for improved gesture classification using electromyography signal
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