Faiq Khalid

1.1k total citations
44 papers, 586 citations indexed

About

Faiq Khalid is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Faiq Khalid has authored 44 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 24 papers in Hardware and Architecture and 22 papers in Artificial Intelligence. Recurrent topics in Faiq Khalid's work include Physical Unclonable Functions (PUFs) and Hardware Security (21 papers), Adversarial Robustness in Machine Learning (16 papers) and Integrated Circuits and Semiconductor Failure Analysis (11 papers). Faiq Khalid is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (21 papers), Adversarial Robustness in Machine Learning (16 papers) and Integrated Circuits and Semiconductor Failure Analysis (11 papers). Faiq Khalid collaborates with scholars based in Austria, United States and Pakistan. Faiq Khalid's co-authors include Muhammad Shafique, Muhammad Abdullah Hanif, Syed Rafay Hasan, Osman Hasan, Semeen Rehman, Theocharis Theocharides, Falah Awwad, Ezio Bartocci, Radu Grosu and Florian Geißler and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and International Journal of Disaster Risk Reduction.

In The Last Decade

Faiq Khalid

43 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Faiq Khalid Austria 14 306 217 204 123 119 44 586
Anju P. Johnson United Kingdom 11 294 1.0× 129 0.6× 314 1.5× 161 1.3× 99 0.8× 27 601
Xuefei Ning China 13 420 1.4× 281 1.3× 123 0.6× 62 0.5× 184 1.5× 44 737
Syed Rafay Hasan United States 13 419 1.4× 129 0.6× 336 1.6× 80 0.7× 60 0.5× 97 606
Mingfu Xue China 15 182 0.6× 334 1.5× 187 0.9× 95 0.8× 162 1.4× 49 628
Joonho Kong South Korea 15 386 1.3× 192 0.9× 358 1.8× 257 2.1× 68 0.6× 54 751
Sek Chai United States 15 359 1.2× 184 0.8× 203 1.0× 164 1.3× 349 2.9× 39 768
Artemios G. Voyiatzis Greece 16 153 0.5× 134 0.6× 148 0.7× 222 1.8× 66 0.6× 45 593
Sandeep S. Kumar Netherlands 8 282 0.9× 180 0.8× 219 1.1× 317 2.6× 77 0.6× 11 693
Guy Gogniat France 16 212 0.7× 434 2.0× 413 2.0× 316 2.6× 84 0.7× 83 833
Fahim Rahman United States 14 345 1.1× 205 0.9× 449 2.2× 79 0.6× 22 0.2× 58 668

Countries citing papers authored by Faiq Khalid

Since Specialization
Citations

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

Fields of papers citing papers by Faiq Khalid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faiq Khalid

This figure shows the co-authorship network connecting the top 25 collaborators of Faiq Khalid. A scholar is included among the top collaborators of Faiq Khalid 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 Faiq Khalid. Faiq Khalid 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.
Khalid, Faiq, et al.. (2023). DeMiST: Detection and Mitigation of Stealthy Analog Hardware Trojans. 47–55. 1 indexed citations
2.
Khalid, Faiq, et al.. (2023). StAIn: Stealthy Avenues of Attacks on Horizontally Collaborated Convolutional Neural Network Inference and Their Mitigation. IEEE Access. 11. 10520–10534. 7 indexed citations
3.
Khalid, Faiq, et al.. (2023). FM-ModComp: Feature Map Modification and Hardware–Software Co-Comparison for secure hardware accelerator-based CNN inference. Microprocessors and Microsystems. 100. 104827–104827. 3 indexed citations
4.
Khalid, Faiq, et al.. (2022). LaBaNI: Layer-based Noise Injection Attack on Convolutional Neural Networks. 143–146. 2 indexed citations
5.
Khalid, Faiq, et al.. (2021). ForASec: Formal Analysis of Hardware Trojan-Based Security Vulnerabilities in Sequential Circuits. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(4). 1167–1180. 5 indexed citations
6.
Khalid, Faiq, et al.. (2021). Side-Channel Attacks on RISC-V Processors: Current Progress, Challenges, and Opportunities. arXiv (Cornell University). 18–23. 1 indexed citations
7.
Khalid, Faiq, et al.. (2020). MacLeR: Machine Learning-Based Runtime Hardware Trojan Detection in Resource-Constrained IoT Edge Devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(11). 3748–3761. 14 indexed citations
8.
Bukhari, Syed, Faiq Khalid, Osman Hasan, Muhammad Shafique, & Jörg Henkel. (2019). Toward Model Checking-Driven Fair Comparison of Dynamic Thermal Management Techniques Under Multithreaded Workloads. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(8). 1725–1738. 2 indexed citations
9.
Marchisio, Alberto, et al.. (2019). SNN under Attack: are Spiking Deep Belief Networks vulnerable to Adversarial Examples?. arXiv (Cornell University). 1 indexed citations
10.
Khalid, Faiq, Muhammad Abdullah Hanif, Semeen Rehman, Junaid Qadir, & Muhammad Shafique. (2019). FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning. 902–907. 22 indexed citations
11.
Hanif, Muhammad Abdullah, Faiq Khalid, & Muhammad Shafique. (2019). CANN. 1–6. 22 indexed citations
12.
Khalid, Faiq, et al.. (2018). Using gate-level side channel parameters for formally analyzing vulnerabilities in integrated circuits. Science of Computer Programming. 171. 42–66. 4 indexed citations
13.
Shafique, Muhammad, Theocharis Theocharides, Christos-Savvas Bouganis, et al.. (2018). An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era. Spiral (Imperial College London). 827–832. 63 indexed citations
14.
Ali, Hassan, et al.. (2018). SSCNets: A Selective Sobel Convolution-based Technique to Enhance the Robustness of Deep Neural Networks against Security Attacks.. arXiv (Cornell University). 1 indexed citations
15.
Shafique, Muhammad, Faiq Khalid, & Semeen Rehman. (2018). Intelligent Security Measures for Smart Cyber Physical Systems. 280–287. 13 indexed citations
16.
Rehman, Semeen, et al.. (2018). Hardware and Software Techniques for Heterogeneous Fault-Tolerance. 15 4. 115–118. 2 indexed citations
17.
Khalid, Faiq, et al.. (2017). Behavior profiling of power distribution networks for runtime hardware trojan detection. 1316–1319. 4 indexed citations
18.
Khalid, Faiq, Syed Rafay Hasan, Osman Hasan, & Falah Awwad. (2016). Analyzing Vulnerability of Asynchronous Pipeline to Soft Errors: Leveraging Formal Verification. Journal of Electronic Testing. 32(5). 569–586. 5 indexed citations
19.
Khalid, Faiq, et al.. (2016). FAMe-TM: Formal analysis methodology for task migration algorithms in Many-Core systems. Science of Computer Programming. 133. 154–174. 5 indexed citations
20.
Khalid, Faiq, Syed Rafay Hasan, Osman Hasan, & Falah Awwad. (2014). Low Power Soft Error Tolerant Macro Synchronous Micro Asynchronous (MSMA) Pipeline. 601–606. 7 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 Anju P. Johnson Breakdown of academic impact, for papers by Xuefei Ning Breakdown of academic impact, for papers by Syed Rafay Hasan Breakdown of academic impact, for papers by Mingfu Xue Breakdown of academic impact, for papers by Joonho Kong Breakdown of academic impact, for papers by Sek Chai Breakdown of academic impact, for papers by Artemios G. Voyiatzis Breakdown of academic impact, for papers by Sandeep S. Kumar Breakdown of academic impact, for papers by Guy Gogniat Breakdown of academic impact, for papers by Fahim Rahman
Rankless by CCL
2026