Anupama Bhan

906 total citations
43 papers, 496 citations indexed

About

Anupama Bhan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Anupama Bhan has authored 43 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Anupama Bhan's work include AI in cancer detection (15 papers), Digital Imaging for Blood Diseases (10 papers) and Medical Image Segmentation Techniques (8 papers). Anupama Bhan is often cited by papers focused on AI in cancer detection (15 papers), Digital Imaging for Blood Diseases (10 papers) and Medical Image Segmentation Techniques (8 papers). Anupama Bhan collaborates with scholars based in India, United States and United Arab Emirates. Anupama Bhan's co-authors include Ayush Goyal, Aditya Arora, Anurag Tripathi, S. P. Dixit, Sanju Tiwari, Gahangir Hossain, Devottam Gaurav, Malay Kishore Dutta, Sourav Mishra and Radim Bürget and has published in prestigious journals such as SHILAP Revista de lepidopterología, Electronics and Journal of King Saud University - Computer and Information Sciences.

In The Last Decade

Anupama Bhan

37 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anupama Bhan India 11 233 174 105 96 83 43 496
Tamanna Siddiqui India 9 152 0.7× 103 0.6× 101 1.0× 26 0.3× 45 0.5× 33 506
V. Seethalakshmi India 8 165 0.7× 118 0.7× 142 1.4× 17 0.2× 67 0.8× 22 472
L. Jani Anbarasi India 13 165 0.7× 208 1.2× 161 1.5× 52 0.5× 25 0.3× 87 493
Bayan Alabduallah Saudi Arabia 8 142 0.6× 144 0.8× 81 0.8× 36 0.4× 43 0.5× 25 474
Ahmad Waleed Salehi India 10 189 0.8× 97 0.6× 148 1.4× 59 0.6× 38 0.5× 14 535
Norliza Mohd Noor Malaysia 13 142 0.6× 171 1.0× 245 2.3× 57 0.6× 71 0.9× 115 646
Sohaib Asif China 16 356 1.5× 303 1.7× 334 3.2× 53 0.6× 77 0.9× 47 822
Megha Bhushan India 14 200 0.9× 65 0.4× 135 1.3× 112 1.2× 39 0.5× 39 488
May Phu Paing Thailand 12 83 0.4× 84 0.5× 116 1.1× 30 0.3× 34 0.4× 29 283
Vipul Narayan India 11 104 0.4× 74 0.4× 78 0.7× 63 0.7× 37 0.4× 22 452

Countries citing papers authored by Anupama Bhan

Since Specialization
Citations

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

Fields of papers citing papers by Anupama Bhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupama Bhan

This figure shows the co-authorship network connecting the top 25 collaborators of Anupama Bhan. A scholar is included among the top collaborators of Anupama Bhan 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 Anupama Bhan. Anupama Bhan 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
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Bhan, Anupama, et al.. (2023). Computer based Detection and Classification of Leaf Diseases using Hybrid Features. 788–793. 2 indexed citations
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Bhan, Anupama, et al.. (2023). Improved Deep Learning for Cervical Cancer Screening. 1–5.
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Goyal, Ayush, et al.. (2023). Object detection and activity recognition in video surveillance using neural networks. International Journal of Web Information Systems. 19(3/4). 123–138. 11 indexed citations
6.
Bhan, Anupama, Parthasarathi Mangipudi, & Ayush Goyal. (2022). Deep Learning Approach for Automatic Segmentation and Functional Assessment of LV in Cardiac MRI. Electronics. 11(21). 3594–3594. 5 indexed citations
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Bhan, Anupama, et al.. (2021). Early Diagnosis of Parkinson’s Disease in brain MRI using Deep Learning Algorithm. 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). 1467–1470. 18 indexed citations
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Bhan, Anupama, et al.. (2021). Computer based diagnosis of Leukemia in blood smear images. 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). 6 indexed citations
10.
Dixit, S. P., et al.. (2021). Object Detection for Autonomous Driving using YOLO [You Only Look Once] algorithm. 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). 1370–1374. 38 indexed citations
11.
Tripathi, Anurag, Aditya Arora, & Anupama Bhan. (2021). Classification of cervical cancer using Deep Learning Algorithm. 1210–1218. 59 indexed citations
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Dixit, S. P., et al.. (2021). Object Detection for Autonomous Driving using YOLO algorithm. 447–451. 16 indexed citations
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Bhan, Anupama, et al.. (2019). Computer Based Automatic Detection and Classification of Osteoporosis in Bone Radiographs. 1047–1052. 11 indexed citations
14.
Bhan, Anupama, Ayush Goyal, Harsh Harsh, Naveen Chauhan, & Ching‐Wei Wang. (2016). Feature Line Profile Based Automatic Detection of Dental Caries in Bitewing Radiography. 8 indexed citations
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Bhan, Anupama, et al.. (2014). Endocardium wall extraction from noisy cardiac MR images using modified gradient vector flow algorithm. 12. 348–351. 1 indexed citations
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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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