N. Deepa

4.0k total citations · 2 hit papers
77 papers, 2.4k citations indexed

About

N. Deepa is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, N. Deepa has authored 77 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 14 papers in Information Systems. Recurrent topics in N. Deepa's work include Multi-Criteria Decision Making (6 papers), Network Security and Intrusion Detection (5 papers) and IoT and Edge/Fog Computing (5 papers). N. Deepa is often cited by papers focused on Multi-Criteria Decision Making (6 papers), Network Security and Intrusion Detection (5 papers) and IoT and Edge/Fog Computing (5 papers). N. Deepa collaborates with scholars based in India, Taiwan and Saudi Arabia. N. Deepa's co-authors include Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, B. Prabadevi, Quoc‐Viet Pham, Kapal Dev, Madhusanka Liyanage, Rukhsana Ruby, K. Ganesan, Pubudu N. Pathirana and Dinh C. Nguyen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

N. Deepa

67 papers receiving 2.2k citations

Hit Papers

Industry 5.0: A survey on enabling technologies and poten... 2021 2026 2022 2024 2021 2022 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Deepa India 19 635 544 444 397 296 77 2.4k
B. Prabadevi India 14 617 1.0× 529 1.0× 432 1.0× 455 1.1× 196 0.7× 37 2.1k
Jongtae Rhee South Korea 24 247 0.4× 214 0.4× 238 0.5× 507 1.3× 190 0.6× 69 2.7k
Shaik Vaseem Akram India 23 204 0.3× 415 0.8× 272 0.6× 177 0.4× 317 1.1× 136 1.9k
Abdelaziz Bouras Qatar 21 347 0.5× 444 0.8× 269 0.6× 724 1.8× 123 0.4× 111 2.2k
Chen Yang China 27 710 1.1× 359 0.7× 731 1.6× 196 0.5× 217 0.7× 123 2.2k
Kuo‐Ming Chao United Kingdom 28 406 0.6× 1.0k 1.9× 888 2.0× 717 1.8× 242 0.8× 201 2.7k
Anurag Agarwal United States 13 351 0.6× 320 0.6× 666 1.5× 254 0.6× 280 0.9× 70 1.8k
Hervé Panetto France 29 1.6k 2.6× 752 1.4× 325 0.7× 556 1.4× 124 0.4× 135 3.8k
Rukhsana Ruby China 26 578 0.9× 242 0.4× 873 2.0× 424 1.1× 1.2k 4.0× 101 3.0k
Xiangpei Hu China 22 704 1.1× 150 0.3× 246 0.6× 120 0.3× 146 0.5× 102 1.6k

Countries citing papers authored by N. Deepa

Since Specialization
Citations

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

Fields of papers citing papers by N. Deepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Deepa

This figure shows the co-authorship network connecting the top 25 collaborators of N. Deepa. A scholar is included among the top collaborators of N. Deepa 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 N. Deepa. N. Deepa 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.
Deepa, N., et al.. (2025). Advanced image preprocessing and context-aware spatial decomposition for enhanced breast cancer segmentation. MethodsX. 14. 103224–103224. 7 indexed citations
2.
Gadekallu, Thippa Reddy, Praveen Kumar Reddy Maddikunta, N. Deepa, et al.. (2024). XAI for Industry 5.0—Concepts, Opportunities, Challenges, and Future Directions. IEEE Open Journal of the Communications Society. 6. 2706–2729. 15 indexed citations
3.
Deepa, N., Praveen Kumar Reddy Maddikunta, Nancy Victor, et al.. (2024). The Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges. SHILAP Revista de lepidopterología. 6. 4–24. 7 indexed citations
4.
Prabadevi, B., et al.. (2024). Blockchain for Edge Computing in Smart Environments: Use Cases, Issues, and Challenges. Journal of Circuits Systems and Computers. 33(17).
5.
Liyanage, Madhusanka, N. Deepa, Praveen Kumar Reddy Maddikunta, et al.. (2024). Deep learning for intelligent demand response and smart grids: A comprehensive survey. Computer Science Review. 51. 100617–100617. 32 indexed citations
6.
Deepa, N., et al.. (2024). Innovative agricultural diagnosis: DQRR-AFH algorithm model for effective leaf disease prevention and monitoring. Earth Science Informatics. 17(3). 2461–2476. 3 indexed citations
7.
Deepa, N., Quoc‐Viet Pham, Dinh C. Nguyen, et al.. (2022). A survey on blockchain for big data: Approaches, opportunities, and future directions. Future Generation Computer Systems. 131. 209–226. 282 indexed citations breakdown →
9.
Khan, Suleman, et al.. (2022). Detecting COVID-19-Related Fake News Using Feature Extraction. Frontiers in Public Health. 9. 788074–788074. 38 indexed citations
10.
Bashir, Ali Kashif, Suleman Khan, B. Prabadevi, et al.. (2021). Comparative analysis of machine learning algorithms for prediction of smart grid stability . International Transactions on Electrical Energy Systems. 31(9). 75 indexed citations
11.
Gadekallu, Thippa Reddy, Quoc‐Viet Pham, Dinh C. Nguyen, et al.. (2021). Blockchain for Edge of Things: Applications, Opportunities, and Challenges. IEEE Internet of Things Journal. 9(2). 964–988. 138 indexed citations
12.
Deepa, N., et al.. (2021). Data Visualization in Business Intelligence. 13(1). 14–17. 1 indexed citations
13.
Maddikunta, Praveen Kumar Reddy, Quoc‐Viet Pham, B. Prabadevi, et al.. (2021). Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration. 26. 100257–100257. 1028 indexed citations breakdown →
14.
Deepa, N., B. Prabadevi, Praveen Kumar Reddy Maddikunta, et al.. (2020). An AI-based intelligent system for healthcare analysis using Ridge-Adaline Stochastic Gradient Descent Classifier. The Journal of Supercomputing. 77(2). 1998–2017. 97 indexed citations
15.
Srinivasan, Kathiravan, N. Deepa, P. M. Durai Raj Vincent, & Senthil Kumaran Selvaraj. (2020). Realizing the Resolution Enhancement of Tube-to-Tube Plate Friction Welding Microstructure Images Via Hybrid Sparsity Model for Improved Weld Interface Defects Diagnosis. 網際網路技術學刊. 21(1). 61–72. 8 indexed citations
16.
Deepa, N., et al.. (2020). An analysis on Version Control Systems. 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). 1–9. 3 indexed citations
17.
Deepa, N., Mohammad Zubair Khan, B. Prabadevi, et al.. (2020). Multiclass Model for Agriculture Development Using Multivariate Statistical Method. IEEE Access. 8. 183749–183758. 30 indexed citations
18.
Ganesh, A. Balaji, et al.. (2019). Optical determination of carbon dioxide and oxygen by a fluorescent membrane to evaluate the freshness of meat products. Instrumentation Science & Technology. 47(6). 640–665. 12 indexed citations
19.
Deepa, N., et al.. (2019). Sentiment Exploration System to Improve Teaching and Learning. 81. 5560–5565. 1 indexed citations
20.
Deepa, N., et al.. (2012). ADAPTIVE HYPERMEDIA USING LINK ANNOTATION TECHNOLOGY AND RECOMMENDER MODEL (AHLARM). 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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