Prabhpreet Kaur

1.1k total citations
43 papers, 501 citations indexed

About

Prabhpreet Kaur is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Prabhpreet Kaur has authored 43 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 12 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Artificial Intelligence. Recurrent topics in Prabhpreet Kaur's work include AI in cancer detection (8 papers), Retinal Imaging and Analysis (6 papers) and Image Enhancement Techniques (6 papers). Prabhpreet Kaur is often cited by papers focused on AI in cancer detection (8 papers), Retinal Imaging and Analysis (6 papers) and Image Enhancement Techniques (6 papers). Prabhpreet Kaur collaborates with scholars based in India and United States. Prabhpreet Kaur's co-authors include Gurvinder Singh, Parminder Kaur, Jaspreet Kaur, Madhusudan Astekar, Amanjot Kaur, Karandeep Singh Arora, Simranpreet Kaur, Vinay Kumar, Navneet Singh and Jaswinder Kaur and has published in prestigious journals such as Computers in Biology and Medicine, Biomedical Signal Processing and Control and Archives of Computational Methods in Engineering.

In The Last Decade

Prabhpreet Kaur

38 papers receiving 461 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Prabhpreet Kaur India 12 185 178 158 73 61 43 501
Siti Raihanah Abdani Malaysia 14 294 1.6× 98 0.6× 162 1.0× 20 0.3× 31 0.5× 30 489
Alireza Norouzi Malaysia 10 144 0.8× 173 1.0× 368 2.3× 63 0.9× 50 0.8× 14 643
Abdolvahab Ehsani Rad Malaysia 8 133 0.7× 157 0.9× 243 1.5× 63 0.9× 36 0.6× 16 496
Jiho Choi South Korea 13 139 0.8× 93 0.5× 208 1.3× 22 0.3× 20 0.3× 28 475
Frank Kulwa China 11 338 1.8× 451 2.5× 212 1.3× 66 0.9× 107 1.8× 25 765
Liangliang Liu China 8 117 0.6× 160 0.9× 175 1.1× 70 1.0× 17 0.3× 21 481
Tahir Mahmood South Korea 13 342 1.8× 232 1.3× 192 1.2× 55 0.8× 12 0.2× 30 620
Shuyue Guan United States 11 263 1.4× 261 1.5× 232 1.5× 54 0.7× 40 0.7× 27 556
Xuebo Liu China 7 91 0.5× 88 0.5× 80 0.5× 23 0.3× 20 0.3× 16 354
Along He China 6 289 1.6× 128 0.7× 248 1.6× 89 1.2× 23 0.4× 14 518

Countries citing papers authored by Prabhpreet Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Prabhpreet Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabhpreet Kaur

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

All Works

20 of 20 papers shown
1.
Kaur, Prabhpreet, et al.. (2025). Detection of brain tumors using a transfer learning-based optimized ResNet152 model in MR images. Computers in Biology and Medicine. 188. 109790–109790. 10 indexed citations
2.
Kaur, Jaspreet & Prabhpreet Kaur. (2024). PSO-PSP-Net + InceptionV3: An optimized hyper-parameter tuned Computer-Aided Diagnostic model for liver tumor detection using CT scan slices. Biomedical Signal Processing and Control. 95. 106442–106442. 2 indexed citations
4.
Kaur, Jaspreet & Prabhpreet Kaur. (2024). A systematic literature analysis of multi-organ cancer diagnosis using deep learning techniques. Computers in Biology and Medicine. 179. 108910–108910. 5 indexed citations
5.
Kaur, Jaspreet & Prabhpreet Kaur. (2023). A CNN Transfer Learning-Based Automated Diagnosis of COVID-19 From Lung Computerized Tomography Scan Slices. New Generation Computing. 41(4). 795–838. 2 indexed citations
6.
Kaur, Prabhpreet, et al.. (2021). Lung Cancer Detection Using Chi-Square Feature Selection and Support Vector Machine Algorithm. International Journal of Advanced Trends in Computer Science and Engineering. 10(3). 2050–2060. 14 indexed citations
7.
Kaur, Jaspreet & Prabhpreet Kaur. (2021). Outbreak COVID-19 in Medical Image Processing Using Deep Learning: A State-of-the-Art Review. Archives of Computational Methods in Engineering. 29(4). 2351–2382. 5 indexed citations
8.
Kaur, Prabhpreet, et al.. (2020). Internet of Things Analytics for Smart Home Applications. International Journal of Innovative Technology and Exploring Engineering. 9(7). 583–588. 1 indexed citations
9.
Kaur, Prabhpreet, Gurvinder Singh, & Parminder Kaur. (2019). Intellectual detection and validation of automated mammogram breast cancer images by multi-class SVM using deep learning classification. Informatics in Medicine Unlocked. 16. 100239–100239. 50 indexed citations
10.
Kaur, Prabhpreet, Gurvinder Singh, & Parminder Kaur. (2019). Intellectual detection and validation of automated mammogram breast cancer images by multi-class SVM using deep learning classification. Informatics in Medicine Unlocked. 16. 100151–100151. 89 indexed citations
11.
Kaur, Prabhpreet, Gurvinder Singh, & Parminder Kaur. (2018). An intelligent validation system for diagnostic and prognosis of ultrasound fetal growth analysis using Neuro-Fuzzy based on genetic algorithm. Egyptian Informatics Journal. 20(1). 55–87. 12 indexed citations
12.
Kaur, Prabhpreet, Gurvinder Singh, & Parminder Kaur. (2017). A Review of Denoising Medical Images Using Machine Learning Approaches. Current Medical Imaging Formerly Current Medical Imaging Reviews. 14(5). 675–685. 82 indexed citations
13.
Singh, Jaskaran & Prabhpreet Kaur. (2016). Digital image watermarking of homomorphic encrypted images: A review. 4. 1790–1793. 2 indexed citations
14.
Kaur, Prabhpreet, et al.. (2016). Inheritance Pattern of Lip Print Among Haryanvi Population. 16(2). 94–100. 1 indexed citations
15.
Kaur, Simranpreet & Prabhpreet Kaur. (2016). An Edge detection technique with image segmentation using Ant Colony Optimization: A review. 1. 1–5. 6 indexed citations
16.
Kaur, Prabhpreet, et al.. (2015). Estimation of age based on tooth cementum annulations: A comparative study using light, polarized, and phase contrast microscopy. Journal of Forensic Dental Sciences. 7(3). 215–215. 18 indexed citations
17.
Astekar, Madhusudan, et al.. (2015). The study of inheritance analysis and evaluation of lip prints in individuals. Journal of Forensic Dental Sciences. 7(1). 49–49. 20 indexed citations
18.
Astekar, Madhusudan, et al.. (2014). Histopathological insight of complex odontoma associated with a dentigerous cyst. BMJ Case Reports. 2014. bcr2013200316–bcr2013200316. 10 indexed citations
19.
Astekar, Madhusudan, et al.. (2014). Comparison of hard tissue interrelationships at the cervical region of teeth based on tooth type and gender difference. Journal of Forensic Dental Sciences. 6(2). 86–86. 9 indexed citations
20.
Astekar, Madhusudan, et al.. (2014). Collagenase-3 expression in periapical lesions: an immunohistochemical study. Biotechnic & Histochemistry. 89(6). 457–463. 5 indexed citations

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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