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Indonesian Journal of Electrical Engineering and Computer Science
JournalCitation impact & published research
Indonesian Journal of Electrical Engineering and Computer Science is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 7,817 works, 42,260 citations and an h-index of 55.
7,817
Works
42,260
Citations
55
h-index
IDs:OpenAlex
What are the most-cited papers on Indonesian Journal of Electrical Engineering and Computer Science?
ScholarIQmost cited works
Internet of Things based Smart Environmental Monitoring for Mushroom Cultivation
Mohd Saiful Azimi Mahmud, Salinda Buyamin, Musa Mohd Mokji, Mohamad Shukri Zainal Abidin
Indonesian Journal of Electrical Engineering and Computer Science. 201860 CitationsOPEN ACCESS
Rice false smut detection based on faster R-CNN
Prabira Kumar Sethy, Nalini Kanta Barpanda, Amiya Kumar Rath, Santi Kumari Behera
Indonesian Journal of Electrical Engineering and Computer Science. 202032 CitationsOPEN ACCESS
Customer churn analysis using XGBoosted decision trees
V. Muthupriya, Revathi Sathiya Narayanan, N. Sabiyath Fatima, Abhishek Abhishek
Indonesian Journal of Electrical Engineering and Computer Science. 202214 CitationsOPEN ACCESS
A novel ensemble approach for Twitter sentiment classification with ML and LSTM algorithms for real-time tweets analysis
T. V. Krishna, Tummalapalli Siva Rama Krishna, Srinivas Kalime, Chinta Venkata Murali Krishna, S. Neelima, Raja Rao PBV
Indonesian Journal of Electrical Engineering and Computer Science. 202413 CitationsOPEN ACCESS
Evaluation of optimization techniques with support vector machine for identification of dry beans
Nabin Kumar Naik, Prabira Kumar Sethy, Rajat Amat, Santi Kumari Behera, Preesat Biswas
Indonesian Journal of Electrical Engineering and Computer Science. 20238 CitationsOPEN ACCESS
Related on ScholarIQ
Internet of Things based Smart Environmental Monitoring for Mushroom Cultivation
Paper
Rice false smut detection based on faster R-CNN
Paper
Customer churn analysis using XGBoosted decision trees
Paper
A novel ensemble approach for Twitter sentiment classification with ML and LSTM algorithms for real-time tweets analysis
Paper
Evaluation of optimization techniques with support vector machine for identification of dry beans
Paper
Internet of things and multi-class deep feature-fusion based classification of tomato leaf disease
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