Vineeta Das

409 total citations
17 papers, 280 citations indexed

About

Vineeta Das is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Vineeta Das has authored 17 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Biomedical Engineering. Recurrent topics in Vineeta Das's work include Retinal Imaging and Analysis (9 papers), Optical Coherence Tomography Applications (7 papers) and Digital Imaging for Blood Diseases (5 papers). Vineeta Das is often cited by papers focused on Retinal Imaging and Analysis (9 papers), Optical Coherence Tomography Applications (7 papers) and Digital Imaging for Blood Diseases (5 papers). Vineeta Das collaborates with scholars based in India and United States. Vineeta Das's co-authors include Samarendra Dandapat, Prabin Kumar Bora, Niladri B. Puhan, Anju Agarwal, Kishor Pant, Diksha Katiyar, Zhuolin Liu, Mahesh Chandra, Joanne Li and Johnny Tam and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Sensors Journal and IEEE Signal Processing Letters.

In The Last Decade

Vineeta Das

14 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vineeta Das India	8	204	129	113	74	19	17	280
Risa Higashita China	12	266 1.3×	181 1.4×	98 0.9×	71 1.0×	45 2.4×	40	333
Zunjie Xiao China	10	169 0.8×	86 0.7×	91 0.8×	36 0.5×	37 1.9×	17	221
Sourya Sengupta Canada	6	185 0.9×	127 1.0×	96 0.8×	18 0.2×	38 2.0×	22	261
Pingbo Ouyang China	9	169 0.8×	168 1.3×	105 0.9×	14 0.2×	14 0.7×	22	319
Kangrok Oh South Korea	8	142 0.7×	89 0.7×	112 1.0×	14 0.2×	31 1.6×	17	269
Khaled Alsaih France	10	219 1.1×	118 0.9×	109 1.0×	90 1.2×	38 2.0×	13	335
Qinyan Zhang China	7	272 1.3×	213 1.7×	172 1.5×	16 0.2×	22 1.2×	19	348
K. Prabhakar Nayak India	7	286 1.4×	228 1.8×	178 1.6×	33 0.4×	17 0.9×	11	336
Wing Kee Wong Singapore	4	279 1.4×	231 1.8×	171 1.5×	23 0.3×	19 1.0×	7	306

Countries citing papers authored by Vineeta Das

Since Specialization

Citations

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

Fields of papers citing papers by Vineeta Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vineeta Das

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

All Works

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17 of 17 papers shown

Li, Joanne, Jianfei Liu, Vineeta Das, et al.. (2025). Artificial intelligence assisted clinical fluorescence imaging achieves in vivo cellular resolution comparable to adaptive optics ophthalmoscopy. Communications Medicine. 5(1). 105–105. 1 indexed citations

Das, Vineeta, et al.. (2025). Artificial intelligence-assisted retinal imaging enables dense pixel sampling from sparse measurements. PubMed. 1(1). 48–48.

Das, Vineeta, Furu Zhang, Andrew J. Bower, et al.. (2024). Revealing speckle obscured living human retinal cells with artificial intelligence assisted adaptive optics optical coherence tomography. SHILAP Revista de lepidopterología. 4(1). 68–68. 7 indexed citations

Das, Vineeta, Samarendra Dandapat, & Prabin Kumar Bora. (2021). A diagnostic information based framework for super-resolution and quality assessment of retinal OCT images. Computerized Medical Imaging and Graphics. 94. 101997–101997. 1 indexed citations

Das, Vineeta, Samarendra Dandapat, & Prabin Kumar Bora. (2021). Automated Classification of Retinal OCT Images Using a Deep Multi-Scale Fusion CNN. IEEE Sensors Journal. 21(20). 23256–23265. 18 indexed citations

Das, Vineeta, Samarendra Dandapat, & Prabin Kumar Bora. (2020). A Data-Efficient Approach for Automated Classification of OCT Images Using Generative Adversarial Network. IEEE Sensors Letters. 4(1). 1–4. 30 indexed citations

Das, Vineeta, Samarendra Dandapat, & Prabin Kumar Bora. (2020). Unsupervised Super-Resolution of OCT Images Using Generative Adversarial Network for Improved Age-Related Macular Degeneration Diagnosis. IEEE Sensors Journal. 20(15). 8746–8756. 50 indexed citations

Das, Vineeta, et al.. (2020). B-Scan Attentive CNN for the Classification of Retinal Optical Coherence Tomography Volumes. IEEE Signal Processing Letters. 27. 1025–1029. 26 indexed citations

Das, Vineeta, Samarendra Dandapat, & Prabin Kumar Bora. (2019). A novel diagnostic information based framework for super-resolution of retinal fundus images. Computerized Medical Imaging and Graphics. 72. 22–33. 17 indexed citations

10.

Das, Vineeta, Samarendra Dandapat, & Prabin Kumar Bora. (2019). Multi-scale deep feature fusion for automated classification of macular pathologies from OCT images. Biomedical Signal Processing and Control. 54. 101605–101605. 81 indexed citations

11.

Das, Vineeta, Samarendra Dandapat, & Prabin Kumar Bora. (2018). Diagnostic Information based Super-Resolution of Retinal Optical Coherence Tomography Images. 54. 182–186. 1 indexed citations

12.

Das, Vineeta & Niladri B. Puhan. (2017). Tsallis entropy and sparse reconstructive dictionary learning for exudate detection in diabetic retinopathy. Journal of Medical Imaging. 4(2). 24002–24002. 17 indexed citations

13.

Das, Vineeta, et al.. (2015). Entropy thresholding based microaneurysm detection in fundus images. 32. 1–4. 5 indexed citations

14.

Das, Vineeta, Asutosh Kar, & Mahesh Chandra. (2014). Advanced Adaptive Algorithms for Double Talk Detection in Echo Cancellers: A Technical Review. Advances in intelligent systems and computing. 297–305. 1 indexed citations

15.

Das, Vineeta, Asutosh Kar, & Mahesh Chandra. (2014). A new cross correlation based double talk detection algorithm for nonlinear acoustic echo cancellation. 86. 1–6. 2 indexed citations

16.

Katiyar, Diksha, et al.. (2013). Role of total antioxidant capacity and lipid peroxidation in fertile andinfertile men.. Biomedical Research-tokyo. 24(3). 0. 23 indexed citations

17.

Das, Vineeta, et al.. (2005). Convergence of cubic piecewise function. Journal of Computational and Applied Mathematics. 194(2). 388–394.

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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