Ushasi Chaudhuri

483 total citations
17 papers, 348 citations indexed

About

Ushasi Chaudhuri is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Ushasi Chaudhuri has authored 17 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 6 papers in Artificial Intelligence. Recurrent topics in Ushasi Chaudhuri's work include Advanced Image and Video Retrieval Techniques (11 papers), Remote-Sensing Image Classification (9 papers) and Multimodal Machine Learning Applications (6 papers). Ushasi Chaudhuri is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Remote-Sensing Image Classification (9 papers) and Multimodal Machine Learning Applications (6 papers). Ushasi Chaudhuri collaborates with scholars based in India, Germany and United States. Ushasi Chaudhuri's co-authors include Biplab Banerjee, Avik Bhattacharya, Mihai Datcu, Subhasis Chaudhuri, Subhadip Dey, Anjan Dutta, R. P. Jagadeesh Chandra Bose, Zeynep Akata, Dipankar Mandal and Juan M. López‐Sánchez and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Experimental Botany and Neurocomputing.

In The Last Decade

Ushasi Chaudhuri

17 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ushasi Chaudhuri India	11	264	162	88	33	28	17	348
Junlan Jin China	8	186 0.7×	114 0.7×	95 1.1×	60 1.8×	42 1.5×	10	326
Marin Ferecatu France	10	303 1.1×	184 1.1×	106 1.2×	19 0.6×	28 1.0×	24	428
Daoyu Lin China	11	296 1.1×	273 1.7×	99 1.1×	89 2.7×	57 2.0×	26	479
Ruigang Niu China	6	181 0.7×	148 0.9×	61 0.7×	20 0.6×	15 0.5×	7	287
Xuee Rong China	8	328 1.2×	217 1.3×	143 1.6×	41 1.2×	20 0.7×	14	504
Nour Aburaed United Arab Emirates	9	106 0.4×	183 1.1×	65 0.7×	66 2.0×	37 1.3×	42	336
Zhujun Yang China	8	127 0.5×	151 0.9×	66 0.8×	35 1.1×	22 0.8×	11	297
Nassim Ait Ali Braham Germany	6	105 0.4×	157 1.0×	82 0.9×	51 1.5×	44 1.6×	12	296

Countries citing papers authored by Ushasi Chaudhuri

Since Specialization

Citations

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

Fields of papers citing papers by Ushasi Chaudhuri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ushasi Chaudhuri

This figure shows the co-authorship network connecting the top 25 collaborators of Ushasi Chaudhuri. A scholar is included among the top collaborators of Ushasi Chaudhuri 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 Ushasi Chaudhuri. Ushasi Chaudhuri 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

Chaudhuri, Ushasi, et al.. (2024). Machine learning-enabled computer vision for plant phenotyping: a primer on AI/ML and a case study on stomatal patterning. Journal of Experimental Botany. 75(21). 6683–6703. 5 indexed citations

Chaudhuri, Ushasi, et al.. (2022). BDA-SketRet: Bi-level domain adaptation for zero-shot SBIR. Neurocomputing. 514. 245–255. 14 indexed citations

Chaudhuri, Ushasi, R. P. Jagadeesh Chandra Bose, Biplab Banerjee, Avik Bhattacharya, & Mihai Datcu. (2022). Zero-Shot Cross-Modal Retrieval for Remote Sensing Images With Minimal Supervision. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–15. 15 indexed citations

Chaudhuri, Ushasi, et al.. (2022). Zero-Shot Sketch Based Image Retrieval Using Graph Transformer. 2022 26th International Conference on Pattern Recognition (ICPR). 1685–1691. 3 indexed citations

Chaudhuri, Ushasi, Subhadip Dey, Mihai Datcu, Biplab Banerjee, & Avik Bhattacharya. (2021). Interband Retrieval and Classification Using the Multilabeled Sentinel-2 BigEarthNet Archive. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 9884–9898. 12 indexed citations

Chaudhuri, Ushasi, Biplab Banerjee, Avik Bhattacharya, & Mihai Datcu. (2021). A Zero-Shot Sketch-Based Intermodal Object Retrieval Scheme for Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 20 indexed citations

Chaudhuri, Ushasi, Biplab Banerjee, Avik Bhattacharya, & Mihai Datcu. (2021). Attention-Driven Graph Convolution Network for Remote Sensing Image Retrieval. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 12 indexed citations

Dey, Subhadip, Ushasi Chaudhuri, Narayanarao Bhogapurapu, et al.. (2021). Synergistic Use of TanDEM-X and Landsat-8 Data for Crop-Type Classification and Monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 8744–8760. 7 indexed citations

Chaudhuri, Ushasi, et al.. (2021). Dual-Path Morph-UNet for Road and Building Segmentation From Satellite Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 10 indexed citations

10.

Chaudhuri, Ushasi, Biplab Banerjee, Avik Bhattacharya, & Mihai Datcu. (2021). Attention-Driven Cross-Modal Remote Sensing Image Retrieval. elib (German Aerospace Center). 4783–4786. 7 indexed citations

11.

Chaudhuri, Ushasi, Biplab Banerjee, Avik Bhattacharya, & Mihai Datcu. (2020). CMIR-NET : A deep learning based model for cross-modal retrieval in remote sensing. Pattern Recognition Letters. 131. 456–462. 54 indexed citations

12.

Dey, Subhadip, Ushasi Chaudhuri, Dipankar Mandal, et al.. (2020). BiophyNet: A Regression Network for Joint Estimation of Plant Area Index and Wet Biomass From SAR Data. IEEE Geoscience and Remote Sensing Letters. 18(10). 1701–1705. 8 indexed citations

13.

Chaudhuri, Ushasi, Biplab Banerjee, Avik Bhattacharya, & Mihai Datcu. (2020). A Simplified Framework for Zero-shot Cross-Modal Sketch Data Retrieval. elib (German Aerospace Center). 12 indexed citations

14.

Chaudhuri, Ushasi, Biplab Banerjee, Avik Bhattacharya, & Mihai Datcu. (2020). CrossATNet - a novel cross-attention based framework for sketch-based image retrieval. Image and Vision Computing. 104. 104003–104003. 21 indexed citations

15.

Chaudhuri, Ushasi, et al.. (2019). Class Consistency Driven Unsupervised Deep Adversarial Domain Adaptation. DSpace (IIT Bombay). 17. 657–666. 3 indexed citations

16.

Chaudhuri, Ushasi, et al.. (2019). Graph convolutional network for multi-label VHR remote sensing scene recognition. Neurocomputing. 357. 36–46. 60 indexed citations

17.

Chaudhuri, Ushasi, Biplab Banerjee, & Avik Bhattacharya. (2019). Siamese graph convolutional network for content based remote sensing image retrieval. Computer Vision and Image Understanding. 184. 22–30. 85 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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