Sudhakar Sengan

3.1k total citations
121 papers, 1.5k citations indexed

About

Sudhakar Sengan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Sudhakar Sengan has authored 121 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 27 papers in Computer Vision and Pattern Recognition and 26 papers in Computer Networks and Communications. Recurrent topics in Sudhakar Sengan's work include COVID-19 diagnosis using AI (9 papers), Blockchain Technology Applications and Security (9 papers) and Network Security and Intrusion Detection (7 papers). Sudhakar Sengan is often cited by papers focused on COVID-19 diagnosis using AI (9 papers), Blockchain Technology Applications and Security (9 papers) and Network Security and Intrusion Detection (7 papers). Sudhakar Sengan collaborates with scholars based in India, Saudi Arabia and Iraq. Sudhakar Sengan's co-authors include Dilip Kumar Sharma, V. Subramaniyaswamy, Logesh Ravi, Priya Velayutham, Osamah Ibrahim Khalaf, P. Vidya Sagar, Pankaj Dadheech, Meshal Alharbi, Roy Setiawan and Abolfazl Mehbodniya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Pollution.

In The Last Decade

Sudhakar Sengan

104 papers receiving 1.4k citations

Peers

Sudhakar Sengan

CNC

EEE

CSE

Liang Qiao China

Tehseen Mazhar Pakistan

Sunder Ali Khowaja Pakistan

Mohammed Y. Aalsalem Saudi Arabia

Kwok Tai Chui Hong Kong

Subarna Shakya Nepal

Muhammad Ilyas Pakistan

A. M. Rıad Egypt

S. Baskar India

Juan Carlos López Spain

Liang Qiao China

Sudhakar Sengan

453 ×1.0

CNC

357 ×1.0

268 ×0.9

EEE

365 ×1.6

86 ×0.5

CSE

Citations per year, relative to Sudhakar Sengan Sudhakar Sengan (= 1×) peers Liang Qiao

Countries citing papers authored by Sudhakar Sengan

Since Specialization

Citations

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

Fields of papers citing papers by Sudhakar Sengan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudhakar Sengan

This figure shows the co-authorship network connecting the top 25 collaborators of Sudhakar Sengan. A scholar is included among the top collaborators of Sudhakar Sengan 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 Sudhakar Sengan. Sudhakar Sengan 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

Sengan, Sudhakar, et al.. (2025). A non-sub-sampled shearlet transform-based deep learning sub band enhancement and fusion method for multi-modal images. Scientific Reports. 15(1). 29472–29472.

Sengan, Sudhakar, et al.. (2025). The Diagnosis of Heart Attacks: Ensemble Models of Data and Accurate Risk Factor Analysis Based on Machine Learning. Journal of Machine and Computing. 589–599. 3 indexed citations

Koppula, Vijaya Kumar, et al.. (2025). Fractal image compression using digital cone metric space. Journal of Interdisciplinary Mathematics. 28(2). 647–658.

Sengan, Sudhakar, et al.. (2024). A Multi Moving Target Localization in Agricultural Farmlands by Employing Optimized Cooperative Unmanned Aerial Vehicle Swarm. Scalable Computing Practice and Experience. 25(6). 1 indexed citations

Dadheech, Pankaj, et al.. (2024). Security and privacy concerns in social networks mathematically modified metaheuristic-based approach. Journal of Discrete Mathematical Sciences and Cryptography. 27(2-A). 371–382. 1 indexed citations

Ghanimi, Hayder M. A., et al.. (2024). Chebyshev polynomial approximation in CNN for zero-knowledge encrypted data analysis. Journal of Discrete Mathematical Sciences and Cryptography. 27(2-A). 203–214. 1 indexed citations

Sengan, Sudhakar, et al.. (2024). Echocardiographic cardiac views classification using whale optimization and weighted support vector machine. Vessel Plus.

Dadheech, Pankaj, et al.. (2024). Modular metric spaces : Some fixed-point theorems and application of secure dynamic routing for WSN. Journal of Interdisciplinary Mathematics. 27(2). 393–401.

Thangavel, Senthil Kumar, et al.. (2024). Federated learning based fire detection method using local MobileNet. Scientific Reports. 14(1). 30388–30388. 6 indexed citations

10.

Sengan, Sudhakar, et al.. (2024). Advancing viscoelastic material modeling : Tackling time-dependent behavior with fractional calculus. Journal of Interdisciplinary Mathematics. 27(2). 307–316.

11.

Sengan, Sudhakar, Meshal Alharbi, Samah Alshathri, et al.. (2023). Impact of Fireworks Industry Safety Measures and Prevention Management System on Human Error Mitigation Using a Machine Learning Approach. Sensors. 23(9). 4365–4365. 18 indexed citations

12.

Ghanimi, Hayder M. A., Pankaj Dadheech, Meshal Alharbi, et al.. (2023). Soft Computing in Smart Grid with Decentralized Generation and Renewable Energy Storage System Planning. Energies. 16(6). 2655–2655. 18 indexed citations

13.

Romero, Carlos Andrés Tavera, et al.. (2022). Fuzzy and SVM Based Classification Model to Classify Spectral Objects in Sloan Digital Sky. IEEE Access. 10. 101276–101291. 1 indexed citations

14.

Amin, Rashid, et al.. (2022). A machine learning approach for non-invasive fall detection using Kinect. Multimedia Tools and Applications. 81(11). 15491–15519. 17 indexed citations

15.

Romero, Carlos Andrés Tavera, et al.. (2022). A Transformer-Based Framework for Scene Text Recognition. IEEE Access. 10. 100895–100910. 18 indexed citations

16.

Kumar, Tribhuwan, K. Sakthidasan Sankaran, Mahyudin Ritonga, et al.. (2022). Fuzzy Logic and Machine Learning-Enabled Recommendation System to Predict Suitable Academic Program for Students. Mathematical Problems in Engineering. 2022. 1–7. 6 indexed citations

17.

Sengan, Sudhakar, Abolfazl Mehbodniya, Surbhi Bhatia, et al.. (2022). Echocardiographic Image Segmentation for Diagnosing Fetal Cardiac Rhabdomyoma During Pregnancy Using Deep Learning. IEEE Access. 10. 114077–114091. 5 indexed citations

18.

Sengan, Sudhakar, et al.. (2022). A hybrid learning model for efficient classification of Land Use and land change from satellite images. Physics and Chemistry of the Earth Parts A/B/C. 128. 103284–103284. 7 indexed citations

19.

Sengan, Sudhakar, et al.. (2021). The optimization of reconfigured real-time datasets for improving classification performance of machine learning algorithms. Journal | MESA. 12(1). 43–54. 26 indexed citations

20.

Sengan, Sudhakar, et al.. (2015). INVESTIGATION OF ATTRIBUTE AIDED DATA AGGREGATION OVER DYNAMIC ROUTING IN WIRELESS SENSOR NETWORKS. SHILAP Revista de lepidopterología. 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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