Arpan Basu

432 total citations
13 papers, 283 citations indexed

About

Arpan Basu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Arpan Basu has authored 13 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Arpan Basu's work include COVID-19 diagnosis using AI (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and AI in cancer detection (3 papers). Arpan Basu is often cited by papers focused on COVID-19 diagnosis using AI (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and AI in cancer detection (3 papers). Arpan Basu collaborates with scholars based in India, Mexico and Chile. Arpan Basu's co-authors include Ram Sarkar, Erik Cuevas, Avishek Garain, Fabio Giampaolo, Mufti Mahmud, M. Shamim Kaiser, Gi-Tae Han, Zong Woo Geem, Showmik Bhowmik and Sudip Kumar Naskar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

Arpan Basu

13 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arpan Basu India	8	175	146	60	24	21	13	283
Basma Abd El-Rahiem Egypt	9	117 0.7×	102 0.7×	107 1.8×	29 1.2×	17 0.8×	11	311
Mostafa El Habib Daho Algeria	9	124 0.7×	107 0.7×	69 1.1×	12 0.5×	18 0.9×	34	285
Mehmet Yamaç Finland	9	87 0.5×	93 0.6×	89 1.5×	13 0.5×	19 0.9×	19	225
Muhammad Shahbaz Khan United Kingdom	8	90 0.5×	54 0.4×	92 1.5×	13 0.5×	7 0.3×	40	300
Navid Hoseini Izadi Iran	5	119 0.7×	99 0.7×	45 0.8×	16 0.7×	8 0.4×	10	247
Tarik Alafif Saudi Arabia	9	157 0.9×	104 0.7×	89 1.5×	27 1.1×	46 2.2×	21	303
Tarun Agrawal India	9	80 0.5×	119 0.8×	67 1.1×	10 0.4×	39 1.9×	26	257
Emrah Irmak Türkiye	9	186 1.1×	196 1.3×	251 4.2×	22 0.9×	20 1.0×	14	475
Jahanzaib Latif China	8	106 0.6×	185 1.3×	93 1.6×	9 0.4×	19 0.9×	9	338

Countries citing papers authored by Arpan Basu

Since Specialization

Citations

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

Fields of papers citing papers by Arpan Basu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpan Basu

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Basu, Arpan, Rishav Pramanik, & Ram Sarkar. (2024). Wanet: weight and attention network for video summarization. SHILAP Revista de lepidopterología. 4(1). 4 indexed citations

Karmakar, Arun, et al.. (2023). Transglycosylation Reaction: Synthesis and Supramolecular Study of Carbohydrate‐Cased C₂‐Symmetric 20‐ and 22‐Membered Macrocyclic Dinucleosides. ChemistrySelect. 8(8). 1 indexed citations

Basu, Arpan, et al.. (2022). Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays. Neural Computing and Applications. 35(22). 16113–16127. 40 indexed citations

Basu, Arpan, et al.. (2022). COVID-19 detection from CT scans using a two-stage framework. Expert Systems with Applications. 193. 116377–116377. 52 indexed citations

Basu, Arpan, et al.. (2022). Generation of a synthetic handwritten Bangla compound character dataset using a modified conditional GAN architecture. Multimedia Tools and Applications. 82(10). 14775–14797. 5 indexed citations

Garain, Avishek, et al.. (2021). Detection of COVID-19 from CT scan images: A spiking neural network-based approach. Neural Computing and Applications. 33(19). 12591–12604. 48 indexed citations

Basu, Arpan, et al.. (2021). Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans. Applied Soft Computing. 111. 107698–107698. 60 indexed citations

Basu, Arpan, et al.. (2021). Generation of Synthetic Chest X-ray Images and Detection of COVID-19: A Deep Learning Based Approach. Diagnostics. 11(5). 895–895. 37 indexed citations

Basu, Arpan, et al.. (2020). U-Net versus Pix2Pix: a comparative study on degraded document image binarization. Journal of Electronic Imaging. 29(6). 13 indexed citations

10.

Garain, Avishek & Arpan Basu. (2019). The Titans at SemEval-2019 Task 5: Detection of hate speech against immigrants and women in Twitter. 494–497. 8 indexed citations

11.

Garain, Avishek & Arpan Basu. (2019). The Titans at SemEval-2019 Task 6: Offensive Language Identification, Categorization and Target Identification. 759–762. 4 indexed citations

12.

Garain, Avishek, et al.. (2019). Sentence Simplification using Syntactic Parse trees. 672–676. 8 indexed citations

13.

Basu, Arpan, Avishek Garain, & Sudip Kumar Naskar. (2019). Word Difficulty Prediction Using Convolutional Neural Networks. 1109–1112. 3 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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