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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.

How many works does Engineering Technology & Applied Science Research have?

ScholarIQindexed works

Engineering Technology & Applied Science Research has 5,351 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Engineering Technology & Applied Science Research have?

ScholarIQcitation count

Engineering Technology & Applied Science Research has 29,002 citations in the OpenAlex counts ScholarIQ stores.

What is the h-index of Engineering Technology & Applied Science Research?

ScholarIQh-index

Engineering Technology & Applied Science Research has an h-index of 43 in OpenAlex.

What is the article processing charge of Engineering Technology & Applied Science Research?

ScholarIQarticle processing charge

Engineering Technology & Applied Science Research lists an article processing charge of 431 USD in OpenAlex.

What is the OpenAlex record for Engineering Technology & Applied Science Research?

ScholarIQopenalex

The OpenAlex for Engineering Technology & Applied Science Research is on the source record.

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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