Pritee Khanna

3.6k total citations · 2 hit papers
106 papers, 2.4k citations indexed

About

Pritee Khanna is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pritee Khanna has authored 106 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Vision and Pattern Recognition, 29 papers in Signal Processing and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pritee Khanna's work include Biometric Identification and Security (28 papers), Medical Image Segmentation Techniques (14 papers) and Face and Expression Recognition (14 papers). Pritee Khanna is often cited by papers focused on Biometric Identification and Security (28 papers), Medical Image Segmentation Techniques (14 papers) and Face and Expression Recognition (14 papers). Pritee Khanna collaborates with scholars based in India, Japan and Australia. Pritee Khanna's co-authors include Neha Gour, Harkeerat Kaur, Aparajita Ojha, Nidhi Gupta, Ayan Seal, Mukesh Prasad, Tanuja Sheorey, Poornima Singh Thakur, Preeti Rai and Insu Yu and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Industrial Informatics and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Pritee Khanna

103 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Trends in vision-based machine learning techniques for plant disease identification: A systematic review

2022 125 citations Poornima Singh Thakur, Pritee Khanna et al. profile →
Vision transformer meets convolutional neural network for plant disease classification

2023 83 citations Poornima Singh Thakur, Pritee Khanna et al. Ecological Informatics profile →

Peers

Countries citing papers authored by Pritee Khanna

Since Specialization

Citations

This map shows the geographic impact of Pritee Khanna'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 Pritee Khanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pritee Khanna more than expected).

Fields of papers citing papers by Pritee Khanna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pritee Khanna. 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 Pritee Khanna. The network helps show where Pritee Khanna may publish in the future.

Co-authorship network of co-authors of Pritee Khanna

This figure shows the co-authorship network connecting the top 25 collaborators of Pritee Khanna. A scholar is included among the top collaborators of Pritee Khanna 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 Pritee Khanna. Pritee Khanna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Satellite Image-Based Surveillance and Early Wildfire Smoke Detection Using a Multiattention Interlaced Network 2025 ·IEEE Transactions on Industrial Informatics ·(unknown), Poornima Singh Thakur, Pritee Khanna, Aparajita Ojha, Yongze Song, Joseph L. Awange	2
2	Ultra-lightweight convolution-transformer network for early fire smoke detection 2024 ·Fire Ecology ·(unknown), (unknown), Poornima Singh Thakur, Pritee Khanna, Aparajita Ojha	1
3	An interpretable dual attention network for diabetic retinopathy grading: IDANet 2024 ·Artificial Intelligence in Medicine ·(unknown), Neha Gour, Pritee Khanna, Aparajita Ojha, Naoufel Werghi	14
4	Capturing Design Intent During Concept Evaluation Using Rough Numbers and TODIM Method 2023 ·Computer-Aided Design and Applications ·(unknown), Pritee Khanna, Puneet Tandon	0
5	Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals 2023 ·Brain Informatics ·Neha Gour, Taimur Hassan, Muhammad Owais, Iyyakutti Iyappan Ganapathi, Pritee Khanna, Mohamed L. Seghier, Naoufel Werghi	13
6	Vision transformer meets convolutional neural network for plant disease classification breakdown → 2023 ·Ecological Informatics ·Poornima Singh Thakur, (unknown), Pritee Khanna, Tanuja Sheorey, Aparajita Ojha	83
7	Discriminative kernel convolution network for multi-label ophthalmic disease detection on imbalanced fundus image dataset 2023 ·Computers in Biology and Medicine ·(unknown), Neha Gour, Pritee Khanna, Aparajita Ojha	40
8	Ocular diseases classification using a lightweight CNN and class weight balancing on OCT images 2022 ·Multimedia Tools and Applications ·Neha Gour, Pritee Khanna	7
9	T1-weighted MRI-driven Brain Age Estimation in Alzheimer’s Disease and Parkinson’s Disease 2020 ·Aging and Disease ·Iman Beheshti, (unknown), Daichi Sone, Pritee Khanna, Hiroshi Matsuda	78
10	Introduction to the Special Issue on Computational Intelligence for Biomedical Data and Imaging 2020 ·ACM Transactions on Multimedia Computing Communications and Applications ·M. Tanveer, Pritee Khanna, Mukesh Prasad, Chin‐Teng Lin	1
11	Globally supported radial basis function based collocation method for evolution of level set in mass segmentation using mammograms 2017 ·Computers in Biology and Medicine ·(unknown), Manish Kumar Bajpai, Pritee Khanna	22
12	Gender classification system for half face images using multi manifold discriminant analysis 2017 ·(unknown), Preeti Rai, Pritee Khanna	4
13	Blood Vessel Segmentation Using Hybrid Median Filtering and Morphological Transformation 2017 ·Neha Gour, Pritee Khanna	9
14	Vision-Based Mid-Air Unistroke Character Input Using Polar Signatures 2017 ·IEEE Transactions on Human-Machine Systems ·(unknown), Pritee Khanna	22
15	Analysis of the Hand Motion Trajectories for Recognition of Air-Drawn Symbols 2015 ·(unknown), (unknown), (unknown), Pritee Khanna	2
16	A framework for live and cross platform fingerspelling recognition using modified shape matrix variants on depth silhouettes 2015 ·Computer Vision and Image Understanding ·(unknown), Pritee Khanna	8
17	Computer-Aided Diagnosis of Malignant Mammograms using Zernike Moments and SVM 2014 ·Journal of Digital Imaging ·(unknown), Pritee Khanna	84
18	Fingerprint Authentication by Wavelet-based Digital Watermarking 2012 ·International Journal of Electrical and Computer Engineering (IJECE) ·Rajlaxmi Chouhan, (unknown), Pritee Khanna	5
19	Real-Time Global Illumination for VR Applications 2008 ·IEEE Computer Graphics and Applications ·Jesper Mortensen, Insu Yu, Pritee Khanna, Franco Tecchia, Bernhard Spanlang, (unknown), Mel Slater	12
20	A virtual light field approach to global illumination 2004 ·Mel Slater, Jesper Mortensen, Pritee Khanna, Insu Yu	9

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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