Angshuman Paul

1.0k total citations
39 papers, 648 citations indexed

About

Angshuman Paul is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Angshuman Paul has authored 39 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Angshuman Paul's work include AI in cancer detection (11 papers), COVID-19 diagnosis using AI (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Angshuman Paul is often cited by papers focused on AI in cancer detection (11 papers), COVID-19 diagnosis using AI (9 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Angshuman Paul collaborates with scholars based in India, United States and Sweden. Angshuman Paul's co-authors include Dipti Prasad Mukherjee, Appa Rao Chintha, Prasun Das, Saurabh Kundu, Abhinandan Gangopadhyay, D. Patranabis, Ronald M. Summers, Thomas C. Shen, Yuxing Tang and Scott T. Acton and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Angshuman Paul

35 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angshuman Paul India 11 241 143 141 120 103 39 648
Xin Tian China 8 329 1.4× 99 0.7× 140 1.0× 58 0.5× 71 0.7× 20 726
Raul Victor M. da Nóbrega Brazil 9 249 1.0× 184 1.3× 248 1.8× 76 0.6× 47 0.5× 9 812
Osman Nuri Uçan Türkiye 13 205 0.9× 132 0.9× 122 0.9× 43 0.4× 47 0.5× 67 590
Haigen Hu China 18 342 1.4× 283 2.0× 234 1.7× 84 0.7× 73 0.7× 61 1.1k
Wenyong Gui China 15 480 2.0× 197 1.4× 139 1.0× 109 0.9× 58 0.6× 22 856
Rania M. Ghoniem Saudi Arabia 17 426 1.8× 120 0.8× 74 0.5× 51 0.4× 143 1.4× 46 859
Turgay İbrikçі Türkiye 14 320 1.3× 143 1.0× 55 0.4× 68 0.6× 55 0.5× 50 778
Jiwen Dong China 12 474 2.0× 233 1.6× 134 1.0× 86 0.7× 133 1.3× 53 1.1k
Jiao Hu China 8 364 1.5× 97 0.7× 76 0.5× 75 0.6× 69 0.7× 14 643

Countries citing papers authored by Angshuman Paul

Since Specialization
Citations

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

Fields of papers citing papers by Angshuman Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angshuman Paul

This figure shows the co-authorship network connecting the top 25 collaborators of Angshuman Paul. A scholar is included among the top collaborators of Angshuman Paul 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 Angshuman Paul. Angshuman Paul 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
1.
Paul, Angshuman, et al.. (2025). Class-incremental learning using push-pull autoencoder for chest X-ray diagnosis. Computers in Biology and Medicine. 198(Pt B). 111280–111280.
2.
3.
Goswami, S., Akriti Gupta, & Angshuman Paul. (2025). LearnDiff: MRI image super-resolution using a diffusion model with learnable noise. Computerized Medical Imaging and Graphics. 125. 102641–102641. 1 indexed citations
4.
Paul, Angshuman, et al.. (2024). Generalizable diagnosis of chest radiographs through attention-guided decomposition of images utilizing self-consistency loss. Computers in Biology and Medicine. 180. 108922–108922. 1 indexed citations
5.
Pal, Anabik, et al.. (2023). Federated learning using multi-institutional data for generalizable chest x-ray diagnosis. 33. 15–15. 1 indexed citations
6.
Paul, Angshuman, et al.. (2023). ViViD: View Prediction of Online Video Through Deep Neural Network-Based Analysis of Subjective Video Attributes. IEEE Transactions on Broadcasting. 69(1). 191–200. 2 indexed citations
7.
8.
Stanciu, Stefan G., et al.. (2022). Differential diagnosis of thyroid nodule capsules using random forest guided selection of image features. Scientific Reports. 12(1). 21636–21636. 7 indexed citations
9.
Paul, Angshuman, et al.. (2020). Deterministic dropout for deep neural networks using composite random forest. Pattern Recognition Letters. 131. 205–212. 19 indexed citations
10.
Paul, Angshuman, et al.. (2020). Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation. 19–19. 8 indexed citations
11.
Paul, Angshuman, Yuxing Tang, Thomas C. Shen, & Ronald M. Summers. (2020). Discriminative ensemble learning for few-shot chest x-ray diagnosis. Medical Image Analysis. 68. 101911–101911. 39 indexed citations
12.
Paul, Angshuman & Dipti Prasad Mukherjee. (2016). Gland segmentation from histology images using informative morphological scale space. 4121–4125. 12 indexed citations
13.
Paul, Angshuman & Dipti Prasad Mukherjee. (2015). Mitosis Detection for Invasive Breast Cancer Grading in Histopathological Images. IEEE Transactions on Image Processing. 24(11). 4041–4054. 70 indexed citations
14.
Paul, Angshuman & Dipti Prasad Mukherjee. (2014). Enhanced Random Forest for Mitosis Detection. 1–8. 6 indexed citations
15.
Paul, Angshuman, et al.. (2012). Digit recognition from pressure sensor data using Euler number and central moments. 5 indexed citations
16.
Chowdhury, Ananda S., Angshuman Paul, Filiz Bunyak, DDW Cornelison, & Kannappan Palaniappan. (2012). Semi-automated tracking of muscle satellite cells in brightfield microscopy video. 1. 2825–2828. 5 indexed citations
17.
Pal, Amitangshu, Angshuman Paul, Amitava Mukherjee, & Mrinal Kanti Naskar. (2007). Fault and attack management in optical network. 1–2. 1 indexed citations
18.
González, Germán, et al.. (1997). Color Management—how accurate need it be?. Color and Imaging Conference. 5(1). 270–276. 1 indexed citations
19.
Paul, Angshuman & D. Patranabis. (1981). Active simulation of grounded inductors using a single current conveyor. IEEE Transactions on Circuits and Systems. 28(2). 164–165. 36 indexed citations
20.
Patranabis, D. & Angshuman Paul. (1980). Floating inductor with two current conveyors. International Journal of Circuit Theory and Applications. 8(4). 457–461. 6 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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