Kamran Shaukat

4.9k total citations · 9 hit papers
74 papers, 3.2k citations indexed

About

Kamran Shaukat is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Kamran Shaukat has authored 74 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 18 papers in Information Systems and 17 papers in Computer Networks and Communications. Recurrent topics in Kamran Shaukat's work include Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (9 papers) and Imbalanced Data Classification Techniques (7 papers). Kamran Shaukat is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (9 papers) and Imbalanced Data Classification Techniques (7 papers). Kamran Shaukat collaborates with scholars based in Pakistan, Australia and Norway. Kamran Shaukat's co-authors include Suhuai Luo, Ibrahim A. Hameed, Talha Mahboob Alam, Vijay Varadharajan, Farhat Iqbal, Matloob Khushi, Min Xu, Jiaming Li, Dongxi Liu and Adeel Nasir and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Kamran Shaukat

70 papers receiving 3.0k citations

Hit Papers

A Survey on Machine Learning Techniques for Cyber Securit... 2020 2026 2022 2024 2020 2020 2021 2021 2022 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey on Machine Learning Techniques for Cyber Security in the Last Decade
    2020 315 citations Kamran Shaukat, Suhuai Luo et al. IEEE Access profile →
  2. Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity
    2020 207 citations Kamran Shaukat, Suhuai Luo et al. Energies profile →
  3. A Review of Content-Based and Context-Based Recommendation Systems
    2021 197 citations Kamran Shaukat, Ibrahim A. Hameed et al. profile →
  4. A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data
    2021 194 citations Kamran Shaukat, Talha Mahboob Alam et al. IEEE Access profile →
  5. Deep Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images
    2022 191 citations Kamran Shaukat et al. profile →
  6. A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review
    2023 132 citations Kamran Shaukat et al. profile →
  7. An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset
    2022 119 citations Talha Mahboob Alam, Kamran Shaukat et al. Diagnostics profile →
  8. A novel deep learning-based approach for malware detection
    2023 115 citations Kamran Shaukat, Suhuai Luo et al. Engineering Applications of Artificial Intelligence profile →
  9. Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
    2024 45 citations Suhuai Luo, Kamran Shaukat et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamran Shaukat Pakistan 33 1.3k 773 644 570 411 74 3.2k
Mamoona Humayun Saudi Arabia 33 958 0.7× 1.1k 1.4× 1000 1.6× 423 0.7× 347 0.8× 168 3.5k
Sami Azam Australia 31 1.5k 1.1× 591 0.8× 710 1.1× 314 0.6× 447 1.1× 158 3.6k
Sweta Bhattacharya India 30 1.4k 1.1× 1.2k 1.5× 844 1.3× 323 0.6× 635 1.5× 61 4.3k
Muhammad Fazal Ijaz South Korea 34 1.2k 0.9× 645 0.8× 451 0.7× 183 0.3× 783 1.9× 95 4.0k
Farman Ali South Korea 36 1.4k 1.1× 673 0.9× 618 1.0× 237 0.4× 450 1.1× 150 4.3k
Muzammil Hussain Pakistan 39 947 0.7× 757 1.0× 942 1.5× 363 0.6× 436 1.1× 92 4.2k
Suhuai Luo Australia 40 1.8k 1.3× 705 0.9× 701 1.1× 672 1.2× 1.1k 2.8× 172 5.1k
Munir Ahmad Pakistan 33 1.4k 1.1× 669 0.9× 953 1.5× 144 0.3× 327 0.8× 171 4.1k
Gyu Sang Choi South Korea 34 1.8k 1.4× 498 0.6× 828 1.3× 302 0.5× 564 1.4× 182 4.1k
Habib Ullah Khan Qatar 33 561 0.4× 644 0.8× 678 1.1× 233 0.4× 370 0.9× 213 3.4k

Countries citing papers authored by Kamran Shaukat

Since Specialization
Citations

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

Fields of papers citing papers by Kamran Shaukat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamran Shaukat

This figure shows the co-authorship network connecting the top 25 collaborators of Kamran Shaukat. A scholar is included among the top collaborators of Kamran Shaukat 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 Kamran Shaukat. Kamran Shaukat 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.
Shaukat, Kamran, et al.. (2025). A Novel Method to Investigate Environmental Risk in Wastewater Toxicity. Agronomy. 15(4). 841–841. 1 indexed citations
2.
Alam, Khubaib Amjad, et al.. (2025). Exploring Critical Factors of Crowd-Based Requirement Engineering Using Fuzzy DEMATEL-ANP Method. IEEE Access. 13. 101745–101763.
3.
4.
Shaukat, Kamran, et al.. (2024). An Intelligent Mechanism to Detect Multi-Factor Skin Cancer. Diagnostics. 14(13). 1359–1359. 17 indexed citations
5.
Luo, Suhuai, et al.. (2024). Machine Learning for Predicting Intradialytic Hypotension: A Survey Review. International Journal of Advanced Computer Science and Applications. 15(10). 2 indexed citations
6.
Shaukat, Kamran, et al.. (2024). Traumatic Brain Injury Structure Detection Using Advanced Wavelet Transformation Fusion Algorithm with Proposed CNN-ViT. Information. 15(10). 612–612. 1 indexed citations
7.
Shaukat, Kamran, Suhuai Luo, & Vijay Varadharajan. (2023). A novel deep learning-based approach for malware detection. Engineering Applications of Artificial Intelligence. 122. 106030–106030. 115 indexed citations breakdown →
8.
Luo, Suhuai, et al.. (2023). A Comprehensive Review of Deep Learning Approaches for Animal Detection on Video Data. International Journal of Advanced Computer Science and Applications. 14(11). 6 indexed citations
9.
Karmaoui, Ahmed, et al.. (2023). Global network analysis of links between business, climate change, and sustainability and setting up the interconnections framework. Environment Development and Sustainability. 26(12). 30501–30525. 4 indexed citations
10.
Summons, Peter, et al.. (2022). Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review. International Journal of Environmental Research and Public Health. 19(11). 6439–6439. 38 indexed citations
11.
Luo, Suhuai, Peter Summons, Dadong Wang, et al.. (2022). Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography. Journal of Clinical Medicine. 11(18). 5342–5342. 38 indexed citations
12.
Shaukat, Kamran, Talha Mahboob Alam, Ibrahim A. Hameed, et al.. (2022). A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning. Plants. 11(15). 1925–1925. 59 indexed citations
13.
Ibrar, Muhammad, Muhammad Awais, Kamran Shaukat, et al.. (2022). A Machine Learning‐Based Model for Stability Prediction of Decentralized Power Grid Linked with Renewable Energy Resources. Wireless Communications and Mobile Computing. 2022(1). 30 indexed citations
14.
Tang, Xianlun, et al.. (2021). V2X-Based Mobile Localization in 3D Wireless Sensor Network. Security and Communication Networks. 2021. 1–13. 33 indexed citations
15.
Nasir, Adeel, Kamran Shaukat, Kanwal Iqbal Khan, et al.. (2021). Trends and Directions of Financial Technology (Fintech) in Society and Environment: A Bibliometric Study. Applied Sciences. 11(21). 10353–10353. 45 indexed citations
16.
Shaukat, Kamran, Suhuai Luo, Vijay Varadharajan, et al.. (2020). Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity. Energies. 13(10). 2509–2509. 207 indexed citations breakdown →
17.
Nasir, Adeel, Kamran Shaukat, Ibrahim A. Hameed, et al.. (2020). A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure. IEEE Access. 8. 133377–133402. 101 indexed citations
18.
Shaukat, Kamran, Suhuai Luo, Vijay Varadharajan, Ibrahim A. Hameed, & Min Xu. (2020). A Survey on Machine Learning Techniques for Cyber Security in the Last Decade. IEEE Access. 8. 222310–222354. 315 indexed citations breakdown →
19.
Shaukat, Kamran, et al.. (2020). The Impact of Artificial intelligence and Robotics on the Future Employment Opportunities. 5(1). 50–54. 58 indexed citations
20.
Nasir, Adeel, Kamran Shaukat, Kanwal Iqbal Khan, et al.. (2020). What is Core and What Future Holds for Blockchain Technologies and Cryptocurrencies: A Bibliometric Analysis. IEEE Access. 9. 989–1004. 62 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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