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Engineering Technology & Applied Science Research

JournalCitation impact & published research

Engineering Technology & Applied Science Research is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 5,351 works, 29,002 citations, an h-index of 43 and an APC (USD) of 431.

5,351
Works
29,002
Citations
43
h-index
431
APC (USD)

What are the most-cited papers on Engineering Technology & Applied Science Research?

ScholarIQmost cited works
Performance Analysis of Hyperparameters on a Sentiment Analysis Model
Irfan Ali Kandhro, Sahar Zafar Jumani, Fayyaz Ali, Z. U. Shaikh, Muzammi Arshad Arain, Aftab Ahmed Shaikh
Engineering Technology & Applied Science Research. 202017 CitationsOPEN ACCESS
Assessing Real-Time Health Impacts of outdoor Air Pollution through IoT Integration
Pradeep Mullangi, K. M. V. Madan Kumar, Gera Vijaya Nirmala, Ramesh Chandra Aditya Komperla, N. Rajeswaran, Amar Y. Jaffar, Abdullah Alwabli, Saeed Faisal Malky
Engineering Technology & Applied Science Research. 202415 CitationsOPEN ACCESS
Optimizing Performance in Mango Plant Leaf Disease Classification through Advanced Machine Learning Techniques
Sarika Khandelwal, Archana R. Raut, Harsha R. Vyawahare, Dipti Theng, Sheetal S. Dhande
Engineering Technology & Applied Science Research. 202415 CitationsOPEN ACCESS
Short-Term Forecasting of Hourly Electricity Power Demand
Simona Filipova-Petrakieva, Vencislav Dochev
Engineering Technology & Applied Science Research. 202214 CitationsOPEN ACCESS
Mathematical Modeling of Dynamic Supply Chains Subject to Demand Fluctuations
Yasser A. Davizón, Jesús Mateo Amillano-Cisneros, José Belisario Leyva-Morales, Eric Smith, Jaime Sánchez Leal, Neale R. Smith
Engineering Technology & Applied Science Research. 20239 CitationsOPEN ACCESS

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Performance Analysis of Hyperparameters on a Sentiment Analysis Model
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Assessing Real-Time Health Impacts of outdoor Air Pollution through IoT Integration
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Optimizing Performance in Mango Plant Leaf Disease Classification through Advanced Machine Learning Techniques
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Short-Term Forecasting of Hourly Electricity Power Demand
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Mathematical Modeling of Dynamic Supply Chains Subject to Demand Fluctuations
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