Siva Sai

1.2k total citations · 3 hit papers
39 papers, 598 citations indexed

About

Siva Sai is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Siva Sai has authored 39 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 9 papers in Computer Networks and Communications and 9 papers in Artificial Intelligence. Recurrent topics in Siva Sai's work include Blockchain Technology Applications and Security (6 papers), IoT and Edge/Fog Computing (5 papers) and Hate Speech and Cyberbullying Detection (4 papers). Siva Sai is often cited by papers focused on Blockchain Technology Applications and Security (6 papers), IoT and Edge/Fog Computing (5 papers) and Hate Speech and Cyberbullying Detection (4 papers). Siva Sai collaborates with scholars based in India, Singapore and United Kingdom. Siva Sai's co-authors include Vinay Chamola, Biplab Sikdar, Mohsen Guizani, Joel J. P. C. Rodrigues, Yashvardhan Sharma, Heena Rathore, Amir Hussain, Santosh Kumar Yadav, Kamlesh Tiwari and Vikas Hassija and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Siva Sai

36 papers receiving 573 citations

Hit Papers

Generative AI for Transformative Healthcare: A Comprehens... 2024 2026 2025 2024 2024 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siva Sai India 14 175 118 113 81 69 39 598
Ahed Abugabah United Arab Emirates 15 144 0.8× 110 0.9× 175 1.5× 91 1.1× 39 0.6× 56 667
Feifei Shi China 12 153 0.9× 267 2.3× 173 1.5× 89 1.1× 66 1.0× 22 614
Pengyuan Zhou China 14 160 0.9× 182 1.5× 111 1.0× 114 1.4× 96 1.4× 43 598
Muhammad Bilal Amin Australia 13 140 0.8× 182 1.5× 245 2.2× 66 0.8× 40 0.6× 29 513
Abdul Rahim Ahmad Malaysia 14 197 1.1× 82 0.7× 144 1.3× 65 0.8× 79 1.1× 66 585
Mohammad Aljanabi Iraq 13 298 1.7× 142 1.2× 111 1.0× 37 0.5× 31 0.4× 59 666
Patricia Morreale United States 13 124 0.7× 190 1.6× 123 1.1× 128 1.6× 68 1.0× 94 610
Stuart Russell United States 6 397 2.3× 71 0.6× 69 0.6× 230 2.8× 30 0.4× 7 845
Adina Magda Florea Romania 12 161 0.9× 102 0.9× 61 0.5× 137 1.7× 22 0.3× 102 459
Chetan Arora Australia 20 421 2.4× 123 1.0× 580 5.1× 78 1.0× 34 0.5× 77 1.0k

Countries citing papers authored by Siva Sai

Since Specialization
Citations

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

Fields of papers citing papers by Siva Sai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siva Sai

This figure shows the co-authorship network connecting the top 25 collaborators of Siva Sai. A scholar is included among the top collaborators of Siva Sai 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 Siva Sai. Siva Sai 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.
Sai, Siva, et al.. (2025). Generative AI for Finance: Applications, Case Studies and Challenges. Expert Systems. 42(3). 5 indexed citations
2.
Patel, Ajay, et al.. (2025). Blockchain enabled traceability in the jewel supply chain. Scientific Reports. 15(1). 3837–3837. 1 indexed citations
3.
Sai, Siva, et al.. (2025). A Novel Diffusion-Guided Semantic Data Augmentation Method for Vehicular IoT. IEEE Internet of Things Magazine. 8(6). 58–64.
4.
Sai, Siva, et al.. (2025). Unleashing the Power of Generative AI in Agriculture 4.0 for Smart and Sustainable Farming. Cognitive Computation. 17(1). 10 indexed citations
5.
Sai, Siva, et al.. (2024). Pivotal role of digital twins in the metaverse: A review. Digital Communications and Networks. 11(5). 1343–1355. 6 indexed citations
6.
Sai, Siva & Vinay Chamola. (2024). A Blockchain-Enabled Split Learning Framework With a Novel Client Selection Method for Collaborative Learning in Smart Healthcare. IEEE Transactions on Consumer Electronics. 70(3). 5887–5894. 2 indexed citations
7.
Chamola, Vinay, Gaurang Bansal, Vikas Hassija, et al.. (2024). Beyond Reality: The Pivotal Role of Generative AI in the Metaverse. IEEE Internet of Things Magazine. 7(4). 126–135. 39 indexed citations
8.
Chamola, Vinay, et al.. (2024). Generative AI for Consumer Electronics: Enhancing User Experience With Cognitive and Semantic Computing. IEEE Consumer Electronics Magazine. 14(2). 10–19. 11 indexed citations
9.
Sai, Siva, et al.. (2024). Explorative Implementation of Quantum Key Distribution Algorithms for Secure Consumer Electronics Networks. IEEE Transactions on Consumer Electronics. 70(3). 5576–5584. 14 indexed citations
10.
Chamola, Vinay, Siva Sai, Wenchao Jiang, et al.. (2024). A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience. Cognitive Computation. 16(6). 3286–3315. 7 indexed citations
11.
Sai, Siva, Arun Kumar Giri, & Vinay Chamola. (2024). A novel hybrid random convolutional kernels model for price volatlity forecasting of precious metals. Expert Systems. 42(2). 1 indexed citations
12.
Sai, Siva, et al.. (2024). Empowering IoT with Generative AI: Applications, Case Studies, and Limitations. IEEE Internet of Things Magazine. 7(3). 38–43. 12 indexed citations
13.
Sai, Siva, et al.. (2024). Explainable AI-Empowered Neuromorphic Computing Framework for Consumer Healthcare. IEEE Transactions on Consumer Electronics. 71(2). 5889–5897. 6 indexed citations
14.
Sai, Siva, et al.. (2024). DMDAT: Diffusion Model-Based Data Augmentation Technique for Vision-Based Accident Detection in Vehicular Networks. IEEE Transactions on Vehicular Technology. 74(2). 2241–2250. 5 indexed citations
15.
Sai, Siva, et al.. (2024). Confluence of Digital Twins and Metaverse for Consumer Electronics: Real World Case Studies. IEEE Transactions on Consumer Electronics. 70(1). 3194–3203. 19 indexed citations
16.
Sai, Siva, et al.. (2024). A Comprehensive Review on Generative AI for Education. IEEE Access. 12. 142733–142759. 74 indexed citations breakdown →
17.
Sai, Siva, Vinay Chamola, Kaizhu Huang, et al.. (2023). Machine Un-learning: An Overview of Techniques, Applications, and Future Directions. Cognitive Computation. 7 indexed citations
18.
Sai, Siva, Vikas Hassija, Vinay Chamola, & Mohsen Guizani. (2023). Federated Learning and NFT-Based Privacy-Preserving Medical-Data-Sharing Scheme for Intelligent Diagnosis in Smart Healthcare. IEEE Internet of Things Journal. 11(4). 5568–5577. 29 indexed citations
19.
Yadav, Santosh Kumar, et al.. (2021). CSITime: Privacy-preserving human activity recognition using WiFi channel state information. Neural Networks. 146. 11–21. 52 indexed citations
20.
Sai, Siva & Yashvardhan Sharma. (2020). Siva@HASOC-Dravidian-CodeMix-FIRE-2020: Multilingual Offensive Speech Detection in Code-mixed and Romanized Text.. 336–343. 10 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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