Narinder Singh Punn

1.3k total citations
13 papers, 327 citations indexed

About

Narinder Singh Punn is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Narinder Singh Punn has authored 13 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Narinder Singh Punn's work include AI in cancer detection (4 papers), Medical Image Segmentation Techniques (3 papers) and Brain Tumor Detection and Classification (3 papers). Narinder Singh Punn is often cited by papers focused on AI in cancer detection (4 papers), Medical Image Segmentation Techniques (3 papers) and Brain Tumor Detection and Classification (3 papers). Narinder Singh Punn collaborates with scholars based in India, Indonesia and United States. Narinder Singh Punn's co-authors include Sonali Agarwal, Bhavik N. Patel, Imon Banerjee, Sanjay Kumar Sonbhadra and P. Radha Krishna and has published in prestigious journals such as Neural Computing and Applications, Artificial Intelligence Review and Computers in Biology and Medicine.

In The Last Decade

Narinder Singh Punn

10 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Narinder Singh Punn India	6	153	130	113	70	35	13	327
Qingyue Wei China	5	148 1.0×	128 1.0×	144 1.3×	71 1.0×	51 1.5×	11	404
Abin Jose Germany	7	113 0.7×	93 0.7×	83 0.7×	44 0.6×	35 1.0×	22	278
Shuchao Pang China	11	219 1.4×	134 1.0×	144 1.3×	44 0.6×	38 1.1×	28	390
Hongchun Lu China	8	169 1.1×	98 0.8×	123 1.1×	52 0.7×	38 1.1×	13	307
Jieru Mei United States	6	179 1.2×	99 0.8×	102 0.9×	59 0.8×	48 1.4×	10	371
A. K. M. Rakibul Haque Rafid Australia	10	107 0.7×	114 0.9×	144 1.3×	98 1.4×	26 0.7×	13	320
Hanxue Gu United States	5	140 0.9×	143 1.1×	100 0.9×	39 0.6×	64 1.8×	12	378
Tianyu Shi China	9	168 1.1×	207 1.6×	153 1.4×	89 1.3×	47 1.3×	16	405
Haoyu Dong United States	4	139 0.9×	128 1.0×	100 0.9×	38 0.5×	51 1.5×	10	361
Hossein Kashiani United States	6	179 1.2×	103 0.8×	143 1.3×	51 0.7×	31 0.9×	16	347

Countries citing papers authored by Narinder Singh Punn

Since Specialization

Citations

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

Fields of papers citing papers by Narinder Singh Punn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Narinder Singh Punn. 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 Narinder Singh Punn. The network helps show where Narinder Singh Punn may publish in the future.

Co-authorship network of co-authors of Narinder Singh Punn

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

All Works

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13 of 13 papers shown

Punn, Narinder Singh, et al.. (2025). KS-TMIL: A K-Stage Transformer approach with multiple instance learning model for ovarian cancer subtype classification. Computers in Biology and Medicine. 196(Pt B). 110726–110726.

Punn, Narinder Singh, et al.. (2025). CTAUNet: Improved retinal blood vessel segmentation with collaborative transformer attention U-Net. Neural Computing and Applications. 37(20). 15705–15718.

Krishna, P. Radha, et al.. (2024). Enhanced QSAR Modeling for Drug Discovery: Leveraging Advanced Computational Tools and Techniques. 1–6. 1 indexed citations

Punn, Narinder Singh, et al.. (2024). Cerebral palsy detection from infant using movements of their salient body parts and a feature fusion model. The Journal of Supercomputing. 81(1).

Punn, Narinder Singh, Bhavik N. Patel, & Imon Banerjee. (2023). Liver fibrosis classification from ultrasound using machine learning: a systematic literature review. Abdominal Radiology. 49(1). 69–80. 2 indexed citations

Punn, Narinder Singh & Sonali Agarwal. (2022). Modality specific U-Net variants for biomedical image segmentation: a survey. Artificial Intelligence Review. 55(7). 5845–5889. 121 indexed citations

Punn, Narinder Singh & Sonali Agarwal. (2022). CHS-Net: A Deep Learning Approach for Hierarchical Segmentation of COVID-19 via CT Images. Neural Processing Letters. 54(5). 3771–3792. 20 indexed citations

Agarwal, Sonali, Sanjay Kumar Sonbhadra, & Narinder Singh Punn. (2022). Software Testing and Quality Assurance for Data Intensive Applications. 461–462. 2 indexed citations

Punn, Narinder Singh & Sonali Agarwal. (2022). RCA-IUnet: a residual cross-spatial attention-guided inception U-Net model for tumor segmentation in breast ultrasound imaging. Machine Vision and Applications. 33(2). 50 indexed citations

10.

Punn, Narinder Singh & Sonali Agarwal. (2020). Inception U-Net Architecture for Semantic Segmentation to Identify Nuclei in Microscopy Cell Images. ACM Transactions on Multimedia Computing Communications and Applications. 16(1). 1–15. 80 indexed citations

11.

Punn, Narinder Singh & Sonali Agarwal. (2020). Multi-modality encoded fusion with 3D inception U-net and decoder model for brain tumor segmentation. Multimedia Tools and Applications. 80(20). 30305–30320. 34 indexed citations

12.

Punn, Narinder Singh, et al.. (2019). Testing Big Data Application. 159–162. 5 indexed citations

13.

Punn, Narinder Singh & Sonali Agarwal. (2019). Crowd Analysis for Congestion Control Early Warning System on Foot Over Bridge. 1–6. 12 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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