Aditya Gupta

498 total citations
24 papers, 290 citations indexed

About

Aditya Gupta is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aditya Gupta has authored 24 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aditya Gupta's work include COVID-19 diagnosis using AI (4 papers), Machine Learning in Healthcare (3 papers) and Brain Tumor Detection and Classification (3 papers). Aditya Gupta is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Machine Learning in Healthcare (3 papers) and Brain Tumor Detection and Classification (3 papers). Aditya Gupta collaborates with scholars based in India, United States and United Kingdom. Aditya Gupta's co-authors include Vibha Jain, Monu Bhagat, Vinaya Rajan, Chythra R Rao, B B Darshan, Bijendra Kumar, Greg Durrett, Sukhpal Singh Gill, Prabal Verma and Mohit Kumar and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Multimedia Tools and Applications and Journal of King Saud University - Computer and Information Sciences.

In The Last Decade

Aditya Gupta

22 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aditya Gupta India	10	71	44	42	42	39	24	290
Samir Abdelrazek Egypt	8	133 1.9×	11 0.3×	33 0.8×	99 2.4×	70 1.8×	15	356
Zahraa K. Taha Iraq	10	73 1.0×	10 0.2×	28 0.7×	55 1.3×	138 3.5×	17	428
Omar H. Karam Egypt	11	172 2.4×	21 0.5×	48 1.1×	84 2.0×	47 1.2×	38	435
Tonmoy Ghosh United States	14	61 0.9×	8 0.2×	86 2.0×	45 1.1×	12 0.3×	46	507
Apeksha Koul India	11	189 2.7×	49 1.1×	78 1.9×	76 1.8×	27 0.7×	20	436
Tamer Ahmed Eltaras Qatar	4	57 0.8×	5 0.1×	23 0.5×	16 0.4×	35 0.9×	6	244
Lakmini Malasinghe United Kingdom	3	31 0.4×	4 0.1×	50 1.2×	30 0.7×	91 2.3×	7	322
Shereen Afifi Egypt	8	71 1.0×	6 0.1×	81 1.9×	10 0.2×	37 0.9×	36	320
Lina Li China	10	72 1.0×	9 0.2×	27 0.6×	12 0.3×	54 1.4×	40	278
Zhenming Yuan China	11	141 2.0×	17 0.4×	52 1.2×	43 1.0×	11 0.3×	49	381

Countries citing papers authored by Aditya Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Aditya Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Gupta

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

All Works

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20 of 20 papers shown

Jain, Vibha, et al.. (2025). Heartbeat audio signal analysis for cardiovascular abnormality diagnosis using neural-networks. Health Information Science and Systems. 14(1). 12–12.

Gupta, Aditya, et al.. (2024). The impact and applications of block chain technology in healthcare: A comprehensive analysis. AIP conference proceedings. 3188. 100067–100067.

Gupta, Aditya, et al.. (2024). Advances in Medical Imaging: Using Convolutional Neural Networks for White Blood Cell Identification. International Journal of Image Graphics and Signal Processing. 16(1). 108–125. 1 indexed citations

Gupta, Aditya, et al.. (2024). Sine cosine algorithm-based feature selection for improved machine learning models in polycystic ovary syndrome diagnosis. Multimedia Tools and Applications. 83(30). 75007–75031. 4 indexed citations

Verma, Prabal, Aditya Gupta, Mohit Kumar, & Sukhpal Singh Gill. (2023). FCMCPS-COVID: AI propelled fog–cloud inspired scalable medical cyber-physical system, specific to coronavirus disease. Internet of Things. 23. 100828–100828. 15 indexed citations

Gupta, Aditya, et al.. (2023). Prediction Framework on Early Urine Infection in IoT–Fog Environment Using XGBoost Ensemble Model. Wireless Personal Communications. 131(2). 1013–1031. 7 indexed citations

Gupta, Aditya, Monu Bhagat, & Vibha Jain. (2023). Blockchain-enabled healthcare monitoring system for early Monkeypox detection. The Journal of Supercomputing. 79(14). 15675–15699. 23 indexed citations

Gupta, Aditya & Amritpal Singh. (2023). A Comprehensive Survey on Cyber-Physical Systems Towards Healthcare 4.0. SN Computer Science. 4(2). 6 indexed citations

Gupta, Aditya, et al.. (2023). EDL‐NSGA‐II: Ensemble deep learning framework with NSGA‐II feature selection for heart disease prediction. Expert Systems. 40(7). 4 indexed citations

10.

Gupta, Aditya, et al.. (2022). NSGA‐II‐XGB: Meta‐heuristic feature selection with XGBoost framework for diabetes prediction. Concurrency and Computation Practice and Experience. 34(21). 11 indexed citations

11.

Gupta, Aditya, et al.. (2022). An Intelligent Healthcare Cyber Physical Framework for Encephalitis Diagnosis Based on Information Fusion and Soft-Computing Techniques. New Generation Computing. 40(4). 1093–1123. 18 indexed citations

12.

Gupta, Aditya, et al.. (2022). Healthcare 4.0: recent advancements and futuristic research directions. Wireless Personal Communications. 129(2). 933–952. 25 indexed citations

13.

Gupta, Aditya, et al.. (2021). Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications. New Generation Computing. 40(4). 987–1007. 50 indexed citations

14.

Gupta, Aditya, et al.. (2021). An Improved Multi-label k-Nearest Neighbour Algorithm with Prototype Selection using DENCLUE. 72. 1–6. 1 indexed citations

15.

Gupta, Aditya & Greg Durrett. (2019). Effective Use of Transformer Networks for Entity Tracking. 759–769. 7 indexed citations

16.

Rao, Chythra R, et al.. (2012). Practice of Physical Activity among Future Doctors: A Cross Sectional Analysis.. PubMed. 3(5). 365–9. 44 indexed citations

17.

Hegde, Narayan, et al.. (2010). Eco-friendly goat husbandry for sustainable livelihood of small farmers. 1 indexed citations

18.

Gupta, Aditya, et al.. (2005). 25–Gauge Transconjunctival Vitrectomy Safety: Cataract Progression. Investigative Ophthalmology & Visual Science. 46(13). 5458–5458. 1 indexed citations

19.

Gupta, Aditya, et al.. (2003). Transient Post-Operative Hypotony Following Transconjunctival 25 Gauge Vitrectomy. Investigative Ophthalmology & Visual Science. 44(13). 2026–2026. 4 indexed citations

20.

Gupta, Aditya, et al.. (2003). Ultrasound Biomicroscopic Evaluation of Sclerotomies Created by Transconjunctival 25 Gauge Vitrectomy. Investigative Ophthalmology & Visual Science. 44(13). 3008–3008. 1 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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