Uday Kulkarni

1.0k total citations
63 papers, 517 citations indexed

About

Uday Kulkarni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Uday Kulkarni has authored 63 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Uday Kulkarni's work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Machine Learning and Data Classification (6 papers). Uday Kulkarni is often cited by papers focused on Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Machine Learning and Data Classification (6 papers). Uday Kulkarni collaborates with scholars based in India, United States and Nepal. Uday Kulkarni's co-authors include Subhash K. Shinde, S. M. Meena, Swati Shinde, Meena S.M., Sachin Shetty, Akshay Dudhane, Subrahmanyam Murala, Prashant W. Patil, Jimit Doshi and Christos Davatzikos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Uday Kulkarni

56 papers receiving 476 citations

Peers

Countries citing papers authored by Uday Kulkarni

Since Specialization

Citations

This map shows the geographic impact of Uday Kulkarni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Uday Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uday Kulkarni more than expected).

Fields of papers citing papers by Uday Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uday Kulkarni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Uday Kulkarni. The network helps show where Uday Kulkarni may publish in the future.

Co-authorship network of co-authors of Uday Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Uday Kulkarni. A scholar is included among the top collaborators of Uday Kulkarni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uday Kulkarni. Uday Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Optimizing crop yield prediction with R2U-Net-AgriFocus: A deep learning architecture with leveraging satellite imagery and agro-environmental data 2025 ·Expert Systems with Applications ·(unknown), (unknown), (unknown), Uday Kulkarni	1
2	MobileNetV3 for Mango Leaf Disease Detection:An efficient Deep Learning Approach for Precision Agriculture 2024 ·(unknown), (unknown), (unknown), (unknown), (unknown), S. M. Meena, Uday Kulkarni	3
3	Vision based Roughness Average Value Detection using YOLOv5 and EasyOCR 2023 ·Uday Kulkarni, (unknown), (unknown), (unknown), (unknown), (unknown)	0
4	An Object Detection Approach for Automated Detection of Groove Line in Tube Yoke 2023 ·SHILAP Revista de lepidopterología ·Uday Kulkarni, (unknown), (unknown), (unknown), (unknown), (unknown)	1
5	Vision-Based Quality Control Check of Tube Shaft using DNN Architecture 2023 ·SHILAP Revista de lepidopterología ·Uday Kulkarni, (unknown), (unknown), (unknown), (unknown), (unknown)	0
6	Depth Estimation using DNN Architecture and Vision-Based Transformers 2023 ·SHILAP Revista de lepidopterología ·Uday Kulkarni, (unknown), (unknown), (unknown), (unknown), (unknown)	0
7	Optimisation of deep neural network model using Reptile meta learning approach 2023 ·SHILAP Revista de lepidopterología ·Uday Kulkarni, S. M. Meena, (unknown), (unknown), (unknown), (unknown), (unknown)	2
8	Image Denoising using Autoencoders : Denoising noisy imgaes by removing noisy pixels/grains from natural images using Deep learning and autoencoders techniques 2023 ·Uday Kulkarni, Sachin Patil, (unknown), (unknown), (unknown), (unknown), (unknown)	2
9	Yoga Pose Detection Using Long-Term Recurrent Convolutional Network 2023 ·Uday Kulkarni, (unknown), (unknown), (unknown), (unknown), S. M. Meena, (unknown)	2
10	Post-training 4-bit Quantization of Deep Neural Networks 2022 ·2022 3rd International Conference for Emerging Technology (INCET) ·(unknown), (unknown), S. M. Meena, Uday Kulkarni, (unknown), (unknown)	3
11	Quantization Friendly MobileNet (QF-MobileNet) Architecture for Vision Based Applications on Embedded Platforms 2020 ·Neural Networks ·Uday Kulkarni, Meena S.M., (unknown), (unknown)	68
12	Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning 2020 ·Lecture notes in computer science ·Siddhesh Thakur, Jimit Doshi, Sarthak Pati, Sung Min Ha, Chiharu Sako, Sanjay N. Talbar, Uday Kulkarni, Christos Davatzikos, Güray Erus, Spyridon Bakas	19
13	A Survey of Different Tools and Approaches for ALDDoS Attack 2019 ·International Conference on Computing for Sustainable Global Development ·(unknown), Uday Kulkarni	2
14	An Implemention of a Mechanism for Malicious URLs Detection 2019 ·International Conference on Computing for Sustainable Global Development ·(unknown), (unknown), (unknown), Uday Kulkarni	2
15	survey on fraud prediction for an application using data mining 2019 ·Journal of Emerging Technologies and Innovative Research ·(unknown), Uday Kulkarni	1
16	Head Pose Estimation using Transfer Learning 2018 ·(unknown), Uday Kulkarni, Sachin Shetty, S. M. Meena	12
17	An Ontological approach towards retrieval of video semantically 2017 ·Uday Kulkarni, (unknown), (unknown), (unknown), (unknown), (unknown)	1
18	Finding the malicious URLs using search engines 2016 ·International Conference on Computing for Sustainable Global Development ·(unknown), Uday Kulkarni	2
19	Efficient Retrieval of Aggregate Data in Uncertain and Probabilistic Databases 2014 ·International Journal of Engineering Trends and Technology ·(unknown), Uday Kulkarni	1
20	Image Segmentation for Nature Images using K-Mean and Fuzzy C-Mean 2012 ·(unknown), (unknown), (unknown), Uday Kulkarni	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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