Gokul Yenduri

3.1k total citations · 4 hit papers
38 papers, 1.5k citations indexed

About

Gokul Yenduri is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Gokul Yenduri has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 15 papers in Information Systems and 12 papers in Artificial Intelligence. Recurrent topics in Gokul Yenduri's work include IoT and Edge/Fog Computing (9 papers), Software Engineering Research (7 papers) and Blockchain Technology Applications and Security (7 papers). Gokul Yenduri is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Software Engineering Research (7 papers) and Blockchain Technology Applications and Security (7 papers). Gokul Yenduri collaborates with scholars based in India, Lebanon and China. Gokul Yenduri's co-authors include Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Thien Huynh‐The, Quoc‐Viet Pham, Sweta Bhattacharya, Weizheng Wang, Madhusanka Liyanage, Daniel Benevides da Costa, Pasika Ranaweera and Rutvij H. Jhaveri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Gokul Yenduri

34 papers receiving 1.5k citations

Hit Papers

Blockchain for the metave... 2022 2026 2023 2024 2023 2023 2022 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gokul Yenduri India 12 514 442 379 270 136 38 1.5k
Volker Gruhn Germany 25 503 1.0× 364 0.8× 1.1k 2.9× 242 0.9× 119 0.9× 203 2.2k
Pasika Ranaweera Ireland 13 216 0.4× 475 1.1× 356 0.9× 161 0.6× 102 0.8× 31 1.0k
Besmira Nushi United States 13 1.0k 2.0× 159 0.4× 382 1.0× 197 0.7× 212 1.6× 19 2.1k
Ravi Sharma India 23 397 0.8× 332 0.8× 557 1.5× 39 0.1× 125 0.9× 90 1.7k
Jaiteg Singh India 22 319 0.6× 308 0.7× 331 0.9× 85 0.3× 153 1.1× 155 1.5k
Satyabrata Aich South Korea 21 224 0.4× 154 0.3× 318 0.8× 109 0.4× 124 0.9× 60 1.5k
Sairam Vakkalanka Sweden 2 358 0.7× 371 0.8× 852 2.2× 79 0.3× 98 0.7× 4 1.7k
Utku Köse Türkiye 21 411 0.8× 215 0.5× 299 0.8× 37 0.1× 199 1.5× 148 1.6k
Johannes Schneider Switzerland 21 581 1.1× 360 0.8× 200 0.5× 36 0.1× 131 1.0× 73 1.4k
Danilo Caivano Italy 23 344 0.7× 258 0.6× 684 1.8× 97 0.4× 144 1.1× 114 1.5k

Countries citing papers authored by Gokul Yenduri

Since Specialization
Citations

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

Fields of papers citing papers by Gokul Yenduri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gokul Yenduri

This figure shows the co-authorship network connecting the top 25 collaborators of Gokul Yenduri. A scholar is included among the top collaborators of Gokul Yenduri 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 Gokul Yenduri. Gokul Yenduri 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.
Yenduri, Gokul, et al.. (2025). Artificial General Intelligence: Advancements, Challenges, and Future Directions in AGI Research. IEEE Access. 13. 134325–134356. 1 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.
Srivastava, Gautam, et al.. (2024). A Trustable Federated Learning Framework for Rapid Fire Smoke Detection at the Edge in Smart Home Environments. IEEE Internet of Things Journal. 11(23). 37708–37717. 9 indexed citations
5.
Yenduri, Gokul, M. Ramalingam, Y. Supriya, et al.. (2024). GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions. IEEE Access. 12. 54608–54649. 215 indexed citations breakdown →
6.
Chengoden, Rajeswari, Nancy Victor, Thien Huynh‐The, et al.. (2023). Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions. IEEE Access. 11. 12765–12795. 240 indexed citations breakdown →
7.
Huynh‐The, Thien, Thippa Reddy Gadekallu, Weizheng Wang, et al.. (2023). Blockchain for the metaverse: A Review. Future Generation Computer Systems. 143. 401–419. 404 indexed citations breakdown →
8.
Yenduri, Gokul & Thippa Reddy Gadekallu. (2023). XAI for Maintainability Prediction of Software-Defined Networks. 402–406. 7 indexed citations
9.
Yenduri, Gokul, G. Deepti Raj, Y. Supriya, et al.. (2023). The Amalgamation of Federated Learning and Explainable ArtificialIntelligence for the Internet of Medical Things: A Review. Recent Advances in Computer Science and Communications. 17(4).
10.
Yenduri, Gokul, Rajesh Kaluri, Dharmendra Singh Rajput, et al.. (2023). From Assistive Technologies to Metaverse—Technologies in Inclusive Higher Education for Students With Specific Learning Difficulties: A Review. IEEE Access. 11. 64907–64927. 41 indexed citations
11.
Ramalingam, M., Nancy Victor, Rajeswari Chengoden, et al.. (2023). A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems. IEEE Access. 11. 107309–107330. 5 indexed citations
12.
Yenduri, Gokul, et al.. (2023). Explainable AI for the Metaverse: A Short Survey. 1–6. 2 indexed citations
14.
Yenduri, Gokul, Rajesh Kaluri, Thippa Reddy Gadekallu, Mufti Mahmud, & David J. Brown. (2023). Blockchain for Software Maintainability in Healthcare. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 420–424. 3 indexed citations
15.
Bashir, Ali Kashif, Nancy Victor, Sweta Bhattacharya, et al.. (2023). Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions. IEEE Internet of Things Journal. 10(24). 21873–21891. 62 indexed citations
16.
Paliwal, Manish, et al.. (2023). Amalgamation of Transfer Learning and Explainable AI for Internet ofMedical Things. Recent Advances in Computer Science and Communications. 17(4). 2 indexed citations
17.
Agrawal, Shaashwat, Sagnik Sarkar, Ons Aouedi, et al.. (2022). Federated Learning for intrusion detection system: Concepts, challenges and future directions. Computer Communications. 195. 346–361. 223 indexed citations breakdown →
18.
Maddikunta, Praveen Kumar Reddy, Quoc‐Viet Pham, Dinh C. Nguyen, et al.. (2022). Incentive techniques for the Internet of Things: A survey. Journal of Network and Computer Applications. 206. 103464–103464. 54 indexed citations
19.
Liyanage, Madhusanka, Quoc‐Viet Pham, Kapal Dev, et al.. (2022). A survey on Zero touch network and Service Management (ZSM) for 5G and beyond networks. Journal of Network and Computer Applications. 203. 103362–103362. 93 indexed citations
20.
Yenduri, Gokul & Thippa Reddy Gadekallu. (2021). Firefly-Based Maintainability Prediction for Enhancing Quality of Software. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 29(Supp02). 211–235. 14 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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