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About the database ScholarIQanswers from OpenAlex & ORCID
How has Vikas Solanki's publication output changed over time?
ScholarIQpublication output · 2017–2024
Output grew0% over the shown period — from 1 works in 2017 to 1 in 2024.
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1
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4
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1
201720202021202220232024
What are the most-cited papers on Vikas Solanki?
ScholarIQmost cited works
Recognizing Wheat Aphid Disease Using a Novel Parallel Real-Time Technique Based on Mask Scoring RCNN
Vinay Kukreja, Deepak Kumar, Ankit Bansal, Vikas Solanki
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 202273 Citations
Deep Neural Network for Multi-Classification of Parsley Leaf Spot Disease Detection
Vinay Kukreja, Rishabh Sharma, Amanpreet Kaur, Ravi Kumar Sachdeva, Vikas Solanki
2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 202269 Citations
A systematic method for diagnosis of hepatitis disease using machine learning
Ravi Kumar Sachdeva, Priyanka Bathla, Pooja Rani, Vikas Solanki, Rakesh Ahuja
S151239915. 202348 CitationsOPEN ACCESS
Efficient methods for digital image watermarking and information embedding
Sunil Gupta, Kamal Saluja, Vikas Solanki, Kushwant Kaur, Parveen Singla, Mohammad Shahid
S4210238442. 202236 CitationsOPEN ACCESS
RETRACTED ARTICLE: SVM-based compliance discrepancies detection using remote sensing for organic farms
S Markkandan, Aditi Sharma, Surendra P. Singh, Vikas Solanki, Selvakanmani Sethuramalingam, Simar Preet Singh
S38407038. 202122 Citations
Related on ScholarIQ
Chitkara University
Institution
Recognizing Wheat Aphid Disease Using a Novel Parallel Real-Time Technique Based on Mask Scoring RCNN
Paper
Deep Neural Network for Multi-Classification of Parsley Leaf Spot Disease Detection
Paper
A systematic method for diagnosis of hepatitis disease using machine learning
Paper
Efficient methods for digital image watermarking and information embedding
Paper
RETRACTED ARTICLE: SVM-based compliance discrepancies detection using remote sensing for organic farms
Paper