Abhishek Gupta

1.7k total citations
68 papers, 1.1k citations indexed

About

Abhishek Gupta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Abhishek Gupta has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Abhishek Gupta's work include Dental Radiography and Imaging (11 papers), Medical Imaging Techniques and Applications (7 papers) and Smart Agriculture and AI (7 papers). Abhishek Gupta is often cited by papers focused on Dental Radiography and Imaging (11 papers), Medical Imaging Techniques and Applications (7 papers) and Smart Agriculture and AI (7 papers). Abhishek Gupta collaborates with scholars based in India, United States and United Kingdom. Abhishek Gupta's co-authors include H. K. Sardana, Om Prakash Kharbanda, Rajiv Balachandran, Viren Sardana, Srikanth Vasamsetti, Bala Chakravarthy Neelapu, Priyanka Kapoor, Manoj Gupta, Varun Bhardwaj and Poonam Sharma and has published in prestigious journals such as RSC Advances, Sleep Medicine Reviews and American Journal of Orthodontics and Dentofacial Orthopedics.

In The Last Decade

Abhishek Gupta

60 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhishek Gupta India 18 240 235 200 197 181 68 1.1k
Robert Koprowski Poland 20 75 0.3× 83 0.4× 73 0.4× 683 3.5× 243 1.3× 105 1.4k
Meng Yang China 16 45 0.2× 29 0.1× 253 1.3× 189 1.0× 95 0.5× 48 1.1k
Chao Han China 20 128 0.5× 40 0.2× 135 0.7× 44 0.2× 90 0.5× 74 1.1k
Y. Kinouchi Japan 11 19 0.1× 69 0.3× 15 0.1× 62 0.3× 100 0.6× 62 423
Tânia Pereira Portugal 20 8 0.0× 46 0.2× 51 0.3× 329 1.7× 494 2.7× 86 1.4k
Tunç Aşuroğlu Türkiye 11 37 0.2× 27 0.1× 77 0.4× 51 0.3× 101 0.6× 47 475
Marta Borowska Poland 12 28 0.1× 16 0.1× 36 0.2× 111 0.6× 89 0.5× 47 537
Pengcheng Xi Canada 14 5 0.0× 49 0.2× 195 1.0× 145 0.7× 70 0.4× 66 737

Countries citing papers authored by Abhishek Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhishek Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Gupta. A scholar is included among the top collaborators of Abhishek Gupta 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 Abhishek Gupta. Abhishek Gupta 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.
Gupta, Abhishek, Komal Shah, & Vani Gupta. (2025). Early identification of cardiovascular health risks in pre-eclampsia: A biomarker-centric perspective. 8(3). 93–93. 1 indexed citations
2.
Jena, Saumya Ranjan, et al.. (2025). Multi-objective Bayesian optimization for the retrieval of aggregated aerosol structures from microscopic images. Journal of Aerosol Science. 186. 106556–106556.
3.
Gupta, Abhishek, et al.. (2024). Learning to Grasp in Clutter with Interactive Visual Failure Prediction. 18172–18178. 1 indexed citations
4.
Gupta, Himani, et al.. (2024). Increasing Prediction Accuracy using Pca-Regression Technique in Ehwsn. 1711–1716. 1 indexed citations
5.
Rana, Shailendra Singh, et al.. (2024). 2D-to-3DMaxiDeform: A computer-aided approach for 3D construction of maxillary sinus from PA and lateral X-ray images. Computers in Biology and Medicine. 183. 109263–109263.
6.
Berg, Jacob, et al.. (2024). Rank2Reward: Learning Shaped Reward Functions from Passive Video. 2806–2813.
7.
Gupta, Abhishek, et al.. (2024). Automated segmentation of acute leukemia using blood and bone marrow smear images: a systematic review. Multimedia Tools and Applications. 83(32). 77967–78000. 3 indexed citations
8.
Gupta, Abhishek, et al.. (2024). COVID-19 Associated Cardiovascular Disease—Risks, Prevention and Management: Heart at Risk Due to COVID-19. Current Issues in Molecular Biology. 46(3). 1904–1920. 7 indexed citations
9.
Sahu, Geet, Mohan Karnati, Abhishek Gupta, & Ayan Seal. (2023). SCZ-SCAN: An automated Schizophrenia detection system from electroencephalogram signals. Biomedical Signal Processing and Control. 86. 105206–105206. 20 indexed citations
10.
Gupta, Abhishek, et al.. (2023). HCIU: Hybrid clustered inception‐basedUNETfor the automatic segmentation of organs at risk in thoracic computed tomography images. International Journal of Imaging Systems and Technology. 33(6). 2203–2217. 1 indexed citations
11.
Gupta, Abhishek, et al.. (2023). Automatic Segmentation of Organs-at-Risk in Thoracic Computed Tomography Images Using Ensembled U-Net InceptionV3 Model. Journal of Computational Biology. 30(3). 346–362. 4 indexed citations
12.
Chen, Qiuyu, et al.. (2023). GenAug: Retargeting behaviors to unseen situations via Generative Augmentation. 24 indexed citations
13.
Gupta, Abhishek. (2023). On imaging modalities for cephalometric analysis: a review. Multimedia Tools and Applications. 82(24). 36837–36858. 7 indexed citations
14.
Karnati, Mohan, Geet Sahu, Abhishek Gupta, Ayan Seal, & Ondřej Krejcar. (2023). A Pyramidal Spatial-Based Feature Attention Network for Schizophrenia Detection Using Electroencephalography Signals. IEEE Transactions on Cognitive and Developmental Systems. 16(3). 935–946. 16 indexed citations
15.
Chen, Tao, et al.. (2023). TactoFind: A Tactile Only System for Object Retrieval. 8025–8032. 7 indexed citations
16.
Gupta, Isha, et al.. (2022). A deep learning based approach to detect IDC in histopathology images. Multimedia Tools and Applications. 81(25). 36309–36330. 11 indexed citations
17.
Gupta, Rajeev Kumar, et al.. (2021). Deep Learning Based Mathematical Model for Feature Extraction to Detect Corona Virus Disease using Chest X-ray Images. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 29(6). 921–947. 9 indexed citations
18.
Gupta, Abhishek. (2020). Challenges for computer aided diagnostics using X-ray and tomographic reconstruction images in craniofacial applications. International Journal of Computational Vision and Robotics. 10(4). 360–360. 14 indexed citations
19.
Gupta, Manoj, et al.. (2020). A hybrid-security model for privacy-enhanced distributed data mining. Journal of King Saud University - Computer and Information Sciences. 34(6). 3602–3614. 12 indexed citations
20.
Neelapu, Bala Chakravarthy, Om Prakash Kharbanda, Viren Sardana, et al.. (2017). A pilot study for segmentation of pharyngeal and sino-nasal airway subregions by automatic contour initialization. International Journal of Computer Assisted Radiology and Surgery. 12(11). 1877–1893. 22 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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