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Samyak Shrimali
ResearcherPublications, citations & collaboration network
Samyak Shrimali is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 12 works, 83 citations, an h-index of 5 and an i10-index of 3.
12
Works
83
Citations
5
h-index
3
i10-index
IDs:OpenAlex
How has Samyak Shrimali's publication output changed over time?
ScholarIQpublication output · 2021–2024
Output declined67% over the shown period — from 3 works in 2021 to 1 in 2024.
3
3
3
1
2021202220232024
What are the most-cited papers on Samyak Shrimali?
ScholarIQmost cited works
PlantifyAI: A Novel Convolutional Neural Network Based Mobile Application for Efficient Crop Disease Detection and Treatment
Samyak Shrimali
Procedia Computer Science. 202130 CitationsOPEN ACCESS
A Novel Deep Learning-, Camera-, and Sensor-Based System for Enforcing Hand Hygiene Compliance in Healthcare Facilities
Samyak Shrimali, Christof Teuscher
IEEE Sensors Journal. 202315 Citations
PlantifyAI: A Novel Convolutional Neural Network Based Mobile Application for Efficient Crop Disease Detection and Treatment
Samyak Shrimali
202111 Citations
A Natural Language Processing and Machine Learning-Based Framework to Automatically Identify Cyberbullying and Hate Speech in Real-Time
Samyak Shrimali
20227 Citations
A Novel Multifaceted Deep Learning-Based Mobile Application for Accurate and Efficient Waste Classification and Increased Composting Engagement in Communities
Samyak Shrimali
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). 20226 Citations
Related on ScholarIQ
University of Illinois Urbana-Champaign
Institution
PlantifyAI: A Novel Convolutional Neural Network Based Mobile Application for Efficient Crop Disease Detection and Treatment
Paper
A Novel Deep Learning-, Camera-, and Sensor-Based System for Enforcing Hand Hygiene Compliance in Healthcare Facilities
Paper
PlantifyAI: A Novel Convolutional Neural Network Based Mobile Application for Efficient Crop Disease Detection and Treatment
Paper
A Natural Language Processing and Machine Learning-Based Framework to Automatically Identify Cyberbullying and Hate Speech in Real-Time
Paper
A Novel Multifaceted Deep Learning-Based Mobile Application for Accurate and Efficient Waste Classification and Increased Composting Engagement in Communities
Paper