Alsharif Abuadbba

1.2k total citations
52 papers, 578 citations indexed

About

Alsharif Abuadbba is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Alsharif Abuadbba has authored 52 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 14 papers in Information Systems. Recurrent topics in Alsharif Abuadbba's work include Adversarial Robustness in Machine Learning (18 papers), Privacy-Preserving Technologies in Data (13 papers) and Advanced Malware Detection Techniques (10 papers). Alsharif Abuadbba is often cited by papers focused on Adversarial Robustness in Machine Learning (18 papers), Privacy-Preserving Technologies in Data (13 papers) and Advanced Malware Detection Techniques (10 papers). Alsharif Abuadbba collaborates with scholars based in Australia, China and South Korea. Alsharif Abuadbba's co-authors include ‪Surya Nepal‬, Hyoungshick Kim, Chandra Thapa, Minki Kim, Yansong Gao, Naveen Chilamkurti, Yeonjae Kim, Ibrahim Khalil, Yansong Gao and Xun Yi and has published in prestigious journals such as IEEE Access, Sensors and ACM Computing Surveys.

In The Last Decade

Alsharif Abuadbba

44 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alsharif Abuadbba Australia 13 359 194 112 109 77 52 578
Puning Zhang China 13 195 0.5× 268 1.4× 131 1.2× 156 1.4× 65 0.8× 59 548
Zuobin Xiong United States 10 395 1.1× 120 0.6× 80 0.7× 71 0.7× 137 1.8× 21 599
Wenjuan Tang China 13 261 0.7× 242 1.2× 217 1.9× 108 1.0× 59 0.8× 25 539
Inshil Doh South Korea 11 197 0.5× 296 1.5× 141 1.3× 139 1.3× 56 0.7× 59 535
Victor Sucasas Portugal 13 237 0.7× 321 1.7× 227 2.0× 215 2.0× 62 0.8× 34 644
Bong Jun Ko United States 10 272 0.8× 255 1.3× 72 0.6× 119 1.1× 51 0.7× 31 524
Pedro Miguel Sánchez Sánchez Spain 14 384 1.1× 294 1.5× 165 1.5× 91 0.8× 45 0.6× 41 672
Helena Rifà-Pous Spain 13 249 0.7× 329 1.7× 102 0.9× 107 1.0× 83 1.1× 42 539
Abdullatif Albaseer Qatar 13 224 0.6× 219 1.1× 59 0.5× 168 1.5× 40 0.5× 47 481

Countries citing papers authored by Alsharif Abuadbba

Since Specialization
Citations

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

Fields of papers citing papers by Alsharif Abuadbba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alsharif Abuadbba

This figure shows the co-authorship network connecting the top 25 collaborators of Alsharif Abuadbba. A scholar is included among the top collaborators of Alsharif Abuadbba 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 Alsharif Abuadbba. Alsharif Abuadbba 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.
Abuadbba, Alsharif, et al.. (2026). From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs. IEEE Security & Privacy. 24(2). 53–63.
2.
Wu, Wei, Alsharif Abuadbba, Saru Kumari, et al.. (2025). Lightweight Privacy-Friendly Aggregation Scheme Against Internal Attacks for Smart Grids. IEEE Transactions on Industrial Informatics. 21(6). 4809–4819. 1 indexed citations
3.
Yang, Mengmeng, Youyang Qu, Thilina Ranbaduge, et al.. (2025). From 5G to 6G: A Survey on Security, Privacy, and Standardization Pathways. ACM Computing Surveys. 58(8). 1–38. 2 indexed citations
4.
Ma, Hua, Alsharif Abuadbba, Yansong Gao, Hyoungshick Kim, & ‪Surya Nepal‬. (2025). Comprehensive Evaluation of Cloaking Backdoor Attacks on Object Detector in Real-World. UWA Profiles and Research Repository (University of Western Australia). 605–620.
5.
Gao, Yansong, Alsharif Abuadbba, Alsharif Abuadbba, et al.. (2024). Token-modification adversarial attacks for natural language processing: A survey. AI Communications. 37(4). 655–676. 2 indexed citations
6.
Abuadbba, Alsharif, et al.. (2024). Lightweight Verifiable Privacy-Preserving Data Aggregation for Smart Grids. IEEE Internet of Things Journal. 11(19). 31249–31259. 3 indexed citations
7.
Jurdak, Raja, et al.. (2024). Electric Vehicle Next Charge Location Prediction. IEEE Transactions on Intelligent Transportation Systems. 25(10). 14128–14139.
8.
Abuadbba, Alsharif, et al.. (2024). Uncovering Gradient Inversion Risks in Practical Language Model Training. ArXiv.org. 3525–3539. 2 indexed citations
9.
Gao, Yansong, Zhi Zhang, Binghui Wang, et al.. (2024). DeepTheft: Stealing DNN Model Architectures through Power Side Channel. UWA Profiles and Research Repository (University of Western Australia). 3311–3326. 4 indexed citations
10.
Ibaida, Ayman, Alsharif Abuadbba, Dhiah Al‐Shammary, & Ibrahim Khalil. (2023). ECG compression technique using fast fractals in the Internet of medical things. Concurrency and Computation Practice and Experience. 35(23). 1 indexed citations
11.
Wang, Shuo, Mahathir Almashor, Alsharif Abuadbba, et al.. (2023). DOITRUST: Dissecting On-chain Compromised Internet Domains via Graph Learning. 1 indexed citations
12.
Tariq, Shahroz, et al.. (2023). Why Do Facial Deepfake Detectors Fail?. 24–28. 10 indexed citations
13.
Yi, Xun, et al.. (2023). A Security-Enhanced Certificateless Conditional Privacy-Preserving Authentication Scheme for Vehicular Ad Hoc Networks. IEEE Transactions on Intelligent Transportation Systems. 24(10). 10456–10466. 32 indexed citations
14.
Tariq, Shahroz, et al.. (2023). Deepfake in the Metaverse: Security Implications for Virtual Gaming, Meetings, and Offices. 16–19. 18 indexed citations
15.
Almashor, Mahathir, Muhammad Ejaz Ahmed, Alsharif Abuadbba, et al.. (2023). Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns. 78–86.
16.
Yi, Xun, et al.. (2022). Authenticated Data Sharing With Privacy Protection and Batch Verification for Healthcare IoT. IEEE Transactions on Sustainable Computing. 8(1). 32–42. 14 indexed citations
17.
Wang, Shuo, et al.. (2022). OCTOPUS: Overcoming Performance and Privatization Bottlenecks in Distributed Learning. IEEE Transactions on Parallel and Distributed Systems. 33(12). 3460–3477. 3 indexed citations
18.
Zheng, Yifeng, Yansong Gao, Alsharif Abuadbba, et al.. (2022). Can differential privacy practically protect collaborative deep learning inference for IoT?. Wireless Networks. 30(6). 4713–4733. 13 indexed citations
19.
Yi, Xun, et al.. (2021). Certificate-Based Anonymous Authentication With Efficient Aggregation for Wireless Medical Sensor Networks. IEEE Internet of Things Journal. 9(14). 12209–12218. 17 indexed citations
20.
Yi, Xun, et al.. (2021). Cost-Effective Authenticated Data Redaction With Privacy Protection in IoT. IEEE Internet of Things Journal. 8(14). 11678–11689. 19 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Puning Zhang Breakdown of academic impact, for papers by Zuobin Xiong Breakdown of academic impact, for papers by Wenjuan Tang Breakdown of academic impact, for papers by Inshil Doh Breakdown of academic impact, for papers by Victor Sucasas Breakdown of academic impact, for papers by Bong Jun Ko Breakdown of academic impact, for papers by Pedro Miguel Sánchez Sánchez Breakdown of academic impact, for papers by Helena Rifà-Pous Breakdown of academic impact, for papers by Abdullatif Albaseer
Rankless by CCL
2026