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About the database ScholarIQanswers from OpenAlex & ORCID
How has Rajni Jain's publication output changed over time?
ScholarIQpublication output · 1980–2024
Output declined50% over the shown period — from 2 works in 1980 to 1 in 2024.
2
1
1
1
2
1
1
1
19802016201820192020202220232024
What are the most-cited papers on Rajni Jain?
ScholarIQmost cited works
Deep transfer learning model for disease identification in wheat crop
Sapna Nigam, Rajni Jain, Sudeep Marwaha, Alka Arora, Md. Ashraful Haque, Akshay Dheeraj, Vaibhav Kumar Singh
S195809937. 2023119 Citations
SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging
Tanuj Misra, Alka Arora, Sudeep Marwaha, Viswanathan Chinnusamy, A. R. Rao, Rajni Jain, Rabi Narayan Sahoo, Mrinmoy Ray, Sudhir Kumar, Dhandapani Raju, Ranjeet Ranjan Jha, Aditya Nigam, Swati Goel
Plant Methods. 2020115 CitationsOPEN ACCESS
Irrigation in India: Status, challenges and options
Rajni Jain, Prabhat Kishore, Dhirendra Kumar Singh
Journal of Soil and Water Conservation. 201998 CitationsOPEN ACCESS
Literature Review of Omicron: A Grim Reality Amidst COVID-19
Suraj Arora, Vishakha Grover, Priyanka Saluja, Youssef A. Algarni, Shahabe Saquib, Shaik Mohammed Asif, Kavita Batra, Mohammad Y. Alshahrani, Gotam Das, Rajni Jain, Anchal Ohri
S4210222090. 202256 CitationsOPEN ACCESS
Plant disease identification using Deep Learning: A review
Sapna Nigam, Rajni Jain
The Indian Journal of Agricultural Sciences. 202053 CitationsOPEN ACCESS
Related on ScholarIQ
Institute of Agricultural Economics
Institution
Deep transfer learning model for disease identification in wheat crop
Paper
SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging
Paper
Irrigation in India: Status, challenges and options
Paper
Literature Review of Omicron: A Grim Reality Amidst COVID-19
Paper
Plant disease identification using Deep Learning: A review
Paper