Sultan Basudan

458 total citations
20 papers, 330 citations indexed

About

Sultan Basudan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Sultan Basudan has authored 20 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Sultan Basudan's work include Privacy-Preserving Technologies in Data (11 papers), Cryptography and Data Security (8 papers) and IoT and Edge/Fog Computing (6 papers). Sultan Basudan is often cited by papers focused on Privacy-Preserving Technologies in Data (11 papers), Cryptography and Data Security (8 papers) and IoT and Edge/Fog Computing (6 papers). Sultan Basudan collaborates with scholars based in Saudi Arabia, Canada and India. Sultan Basudan's co-authors include Xiaodong Lin, Karthik Sankaranarayanan, Patrick C. K. Hung, Abdullah Sheneamer, C. Kishor Kumar Reddy, Mohammed Shuaib and Shadab Alam and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Internet of Things Journal.

In The Last Decade

Sultan Basudan

17 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sultan Basudan Saudi Arabia	9	184	170	137	113	71	20	330
Wuyungerile Li China	8	146 0.8×	72 0.4×	83 0.6×	162 1.4×	60 0.8×	40	318
Jiandian Zeng China	7	167 0.9×	113 0.7×	70 0.5×	75 0.7×	20 0.3×	11	291
Jinwen Xi China	10	103 0.6×	87 0.5×	97 0.7×	52 0.5×	65 0.9×	21	252
Abolfazl Diyanat Iran	6	234 1.3×	56 0.3×	73 0.5×	108 1.0×	25 0.4×	15	298
Wei Tong China	9	64 0.3×	242 1.4×	66 0.5×	54 0.5×	55 0.8×	21	320
Bimal Ghimire United States	6	167 0.9×	255 1.5×	112 0.8×	88 0.8×	14 0.2×	9	377
Lijun Wei China	9	177 1.0×	116 0.7×	217 1.6×	69 0.6×	24 0.3×	21	336
Marco V. Barbera Italy	6	414 2.3×	69 0.4×	138 1.0×	230 2.0×	39 0.5×	7	484
Hamed Shah‐Mansouri Iran	9	261 1.4×	48 0.3×	52 0.4×	221 2.0×	85 1.2×	29	408
Triet D. Vo-Huu United States	8	74 0.4×	160 0.9×	46 0.3×	126 1.1×	15 0.2×	11	275

Countries citing papers authored by Sultan Basudan

Since Specialization

Citations

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

Fields of papers citing papers by Sultan Basudan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sultan Basudan

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

Basudan, Sultan, et al.. (2025). Verifiable Key-Aggregate Searchable Encryption Scheme for Fog-Based Internet of Autonomous Vehicles. Applied Sciences. 15(6). 3081–3081.

Basudan, Sultan, et al.. (2025). A Privacy-Preserving Federated Learning With a Feature of Detecting Forged and Duplicated Gradient Model in Autonomous Vehicle. IEEE Access. 13. 38484–38501. 2 indexed citations

Basudan, Sultan, et al.. (2025). A Secure Parking Navigation System for Autonomous Vehicles Communication. 1(1).

Basudan, Sultan, et al.. (2025). A Securing Transmitted Data in Internet of Autonomous Vehicles. 1–7. 1 indexed citations

Basudan, Sultan. (2024). A privacy-preserving federated learning protocol with a secure data aggregation for the Internet of Everything. Computer Communications. 223. 1–14. 5 indexed citations

Basudan, Sultan, et al.. (2024). Efficient Privacy-Preserving Range Query With Leakage Suppressed for Encrypted Data in Cloud-Based Internet of Things. IEEE Access. 12. 187652–187664. 1 indexed citations

Basudan, Sultan, et al.. (2024). Trustworthy federated learning model for the internet of robotic things. Enterprise Information Systems. 19(3-4). 2 indexed citations

Reddy, C. Kishor Kumar, et al.. (2024). Detecting and forecasting cryptojacking attack trends in Internet of Things and wireless sensor networks devices. PeerJ Computer Science. 10. e2491–e2491.

Basudan, Sultan. (2024). IPFS-blockchain-based delegation model for internet of medical robotics things telesurgery system. Connection Science. 36(1). 4 indexed citations

10.

Basudan, Sultan. (2023). A Scalable Blockchain Framework for Secure Transactions in IoT-Based Dynamic Applications. IEEE Open Journal of the Communications Society. 4. 1931–1945. 10 indexed citations

11.

Basudan, Sultan, et al.. (2022). Security and privacy of network transmitted system in the Internet of Robotic Things. The Journal of Supercomputing. 78(16). 18361–18378. 8 indexed citations

12.

Basudan, Sultan, et al.. (2022). A privacy-preserving scheme to support the detection of multiple similar request-real-time services in IoT application systems. Expert Systems with Applications. 214. 119005–119005. 12 indexed citations

13.

Basudan, Sultan. (2021). A puncturable attribute-based data sharing scheme for the Internet of Medical Robotic Things. Library Hi Tech. 40(4). 1064–1080. 6 indexed citations

14.

Basudan, Sultan, et al.. (2020). A Secure Tracing Method in Fog Computing Network for the IoT Devices. 104–110. 6 indexed citations

15.

Basudan, Sultan. (2020). LEGA: A Lightweight and Efficient Group Authentication Protocol for Massive Machine Type Communication in 5G Networks. Journal of Communications and Information Networks. 5(4). 457–466. 16 indexed citations

16.

Basudan, Sultan, et al.. (2020). An efficient truthfulness privacy-preserving tendering framework for vehicular fog computing. Engineering Applications of Artificial Intelligence. 91. 103583–103583. 25 indexed citations

17.

Basudan, Sultan, et al.. (2018). A Privacy-Preserving Incentive Framework for the Vehicular Cloud. 435–441. 9 indexed citations

18.

Basudan, Sultan, et al.. (2018). Efficient Deduplicated Reporting in Fog-Assisted Vehicular Crowdsensing. 463–469. 8 indexed citations

19.

Basudan, Sultan, Xiaodong Lin, & Karthik Sankaranarayanan. (2017). An Efficient Compromised Node Revocation Scheme in Fog-Assisted Vehicular Crowdsensing. 1–6. 9 indexed citations

20.

Basudan, Sultan, Xiaodong Lin, & Karthik Sankaranarayanan. (2017). A Privacy-Preserving Vehicular Crowdsensing-Based Road Surface Condition Monitoring System Using Fog Computing. IEEE Internet of Things Journal. 4(3). 772–782. 206 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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