Sakshi Ahuja

695 total citations · 1 hit paper
10 papers, 450 citations indexed

About

Sakshi Ahuja is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence. According to data from OpenAlex, Sakshi Ahuja has authored 10 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Neurology and 4 papers in Artificial Intelligence. Recurrent topics in Sakshi Ahuja's work include Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (5 papers) and COVID-19 diagnosis using AI (3 papers). Sakshi Ahuja is often cited by papers focused on Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (5 papers) and COVID-19 diagnosis using AI (3 papers). Sakshi Ahuja collaborates with scholars based in India and United States. Sakshi Ahuja's co-authors include Bijaya Ketan Panigrahi, Tapan Kumar Gandhi, Nilanjan Dey, V. Rajinikanth, Rahul Dubey, Hari Parkash and Vidya Dodwad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Applied Intelligence.

In The Last Decade

Sakshi Ahuja

10 papers receiving 428 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.

Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices

2020 257 citations Sakshi Ahuja, Bijaya Ketan Panigrahi et al. Applied Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sakshi Ahuja India	7	331	251	114	94	56	10	450
He Sui China	7	327 1.0×	242 1.0×	88 0.8×	48 0.5×	39 0.7×	17	487
Md Mahbubur Rahman Bangladesh	9	166 0.5×	183 0.7×	108 0.9×	125 1.3×	24 0.4×	22	380
Neha Gianchandani Canada	4	427 1.3×	317 1.3×	91 0.8×	25 0.3×	56 1.0×	5	549
Daniel Kermany United States	5	514 1.6×	343 1.4×	137 1.2×	29 0.3×	84 1.5×	8	641
Bejoy Abraham India	9	295 0.9×	233 0.9×	96 0.8×	22 0.2×	98 1.8×	17	417
Vruddhi Shah India	6	320 1.0×	237 0.9×	55 0.5×	20 0.2×	35 0.6×	11	432
Wade Menpes-Smith United Kingdom	5	321 1.0×	200 0.8×	71 0.6×	18 0.2×	37 0.7×	5	389
Tej Bahadur Chandra India	8	297 0.9×	184 0.7×	80 0.7×	15 0.2×	52 0.9×	18	425
Preesat Biswas India	6	259 0.8×	192 0.8×	55 0.5×	19 0.2×	26 0.5×	16	328
Emrah Irmak Türkiye	9	196 0.6×	186 0.7×	251 2.2×	256 2.7×	20 0.4×	14	475

Countries citing papers authored by Sakshi Ahuja

Since Specialization

Citations

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

Fields of papers citing papers by Sakshi Ahuja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakshi Ahuja

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

All Works

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10 of 10 papers shown

1.

Ahuja, Sakshi, et al.. (2023). Deep Learning Classification and Segmentation of Brain MRI Images. 1–5. 1 indexed citations

2.

Ahuja, Sakshi, et al.. (2022). McS-Net: Multi-class Siamese network for severity of COVID-19 infection classification from lung CT scan slices. Applied Soft Computing. 131. 109683–109683. 6 indexed citations

3.

Ahuja, Sakshi, et al.. (2021). Transfer learning–based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data. Medical & Biological Engineering & Computing. 59(4). 825–839. 87 indexed citations

4.

Ahuja, Sakshi, Bijaya Ketan Panigrahi, & Tapan Kumar Gandhi. (2021). Enhanced performance of Dark-Nets for brain tumor classification and segmentation using colormap-based superpixel techniques. SHILAP Revista de lepidopterología. 7. 100212–100212. 42 indexed citations

5.

Ahuja, Sakshi, Bijaya Ketan Panigrahi, & Tapan Kumar Gandhi. (2021). Fully automatic brain tumor segmentation using DeepLabv3+ with variable loss functions. 522–526. 12 indexed citations

6.

Ahuja, Sakshi, et al.. (2021). Deep learning-based computer-aided diagnosis tool for brain tumor classification. 854–859. 4 indexed citations

7.

Ahuja, Sakshi, Bijaya Ketan Panigrahi, Nilanjan Dey, V. Rajinikanth, & Tapan Kumar Gandhi. (2020). Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices. Applied Intelligence. 51(1). 571–585. 257 indexed citations breakdown →

8.

Ahuja, Sakshi, Bijaya Ketan Panigrahi, & Tapan Kumar Gandhi. (2020). Transfer Learning Based Brain Tumor Detection and Segmentation using Superpixel Technique. 244–249. 32 indexed citations

9.

Ahuja, Sakshi, et al.. (2018). Design of Orthogonal Wavelet for Human Palmprint Recognition. 265–270. 1 indexed citations

10.

Ahuja, Sakshi, et al.. (2012). Comparative evaluation of 0.2% chlorhexidine versus herbal oral rinse on plaque induced gingivitis. Journal of Indian Association of Public Health Dentistry. 10(19). 55–55. 8 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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