A. S. M. Kayes

3.2k total citations · 3 hit papers
72 papers, 1.8k citations indexed

About

A. S. M. Kayes is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, A. S. M. Kayes has authored 72 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Information Systems, 25 papers in Artificial Intelligence and 23 papers in Sociology and Political Science. Recurrent topics in A. S. M. Kayes's work include Access Control and Trust (13 papers), Advanced Malware Detection Techniques (13 papers) and Blockchain Technology Applications and Security (10 papers). A. S. M. Kayes is often cited by papers focused on Access Control and Trust (13 papers), Advanced Malware Detection Techniques (13 papers) and Blockchain Technology Applications and Security (10 papers). A. S. M. Kayes collaborates with scholars based in Australia, Bangladesh and United Kingdom. A. S. M. Kayes's co-authors include Paul Watters, Iqbal H. Sarker, Alex Ng, Shahriar Badsha, Wenny Rahayu, Hamed Alqahtani, Adnan Anwar, Tharam S. Dillon, Jinho Choi and Jun Han and has published in prestigious journals such as IEEE Access, Sensors and ACM Computing Surveys.

In The Last Decade

A. S. M. Kayes

64 papers receiving 1.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Cybersecurity data science: an overview from machine learning perspective

2020 366 citations Iqbal H. Sarker, A. S. M. Kayes et al. Journal Of Big Data profile →
IoT-Enabled Smart Energy Grid: Applications and Challenges

2021 156 citations Adnan Anwar, Jinho Choi et al. IEEE Access profile →
Privacy Preservation of Electronic Health Records in the Modern Era: A Systematic Survey

2024 38 citations Khandakar Ahmed, A. S. M. Kayes et al. ACM Computing Surveys profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. S. M. Kayes Australia	21	800	738	614	379	224	72	1.8k
Ahmad Karim Pakistan	14	665 0.8×	848 1.1×	636 1.0×	369 1.0×	168 0.8×	26	1.7k
Shailendra Rathore South Korea	22	1.3k 1.6×	1.4k 1.9×	809 1.3×	438 1.2×	217 1.0×	38	2.3k
Shen Su China	18	703 0.9×	888 1.2×	778 1.3×	353 0.9×	294 1.3×	79	1.9k
Gregory Epiphaniou United Kingdom	23	758 0.9×	573 0.8×	411 0.7×	305 0.8×	331 1.5×	106	1.7k
Alessandra Rizzardi Italy	17	878 1.1×	1.4k 2.0×	523 0.9×	395 1.0×	262 1.2×	44	2.0k
Alberto Coen‐Porisini Italy	20	1.1k 1.3×	1.6k 2.2×	692 1.1×	432 1.1×	268 1.2×	75	2.5k
Klemens Böhm Germany	19	399 0.5×	627 0.8×	900 1.5×	292 0.8×	250 1.1×	201	1.7k
Theo Tryfonas United Kingdom	20	542 0.7×	528 0.7×	257 0.4×	324 0.9×	221 1.0×	141	1.7k
Bharanidharan Shanmugam Australia	22	665 0.8×	630 0.9×	611 1.0×	330 0.9×	226 1.0×	99	1.6k
Jingsha He China	23	629 0.8×	1.0k 1.4×	689 1.1×	208 0.5×	281 1.3×	215	1.9k

Countries citing papers authored by A. S. M. Kayes

Since Specialization

Citations

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

Fields of papers citing papers by A. S. M. Kayes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. S. M. Kayes. 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 A. S. M. Kayes. The network helps show where A. S. M. Kayes may publish in the future.

Co-authorship network of co-authors of A. S. M. Kayes

This figure shows the co-authorship network connecting the top 25 collaborators of A. S. M. Kayes. A scholar is included among the top collaborators of A. S. M. Kayes 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 A. S. M. Kayes. A. S. M. Kayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Salehi, Seyedmohammad, Carsten Rudolph, Hooman Alavizadeh, et al.. (2025). Securing cross-domain data access with decentralized attribute-based access control. Ad Hoc Networks. 173. 103807–103807. 5 indexed citations

Kayes, A. S. M., et al.. (2025). Design and Implementation of CNN-based Diabetic Retinopathy Detection. 1(1). 10–28. 2 indexed citations

Kayes, A. S. M., et al.. (2025). Approximation-based energy-efficient cyber-secured image classification framework. Signal Processing Image Communication. 133. 117261–117261.

Alavizadeh, Hooman, et al.. (2025). Physical layer security techniques for grant-free massive Machine-Type Communications in 5G and beyond: A survey, challenges, and future directions. Computer Networks. 264. 111268–111268. 2 indexed citations

Alavizadeh, Hooman, et al.. (2025). Social network botnet attack mitigation model for cloud. Computer Networks. 262. 111160–111160.

Kayes, A. S. M., et al.. (2025). Facial Expression Recognition with Limited Labels: A Self-Supervised and Semi-Supervised Approach : Overcoming Label Scarcity in FER. 1171–1178.

Kayes, A. S. M., et al.. (2024). IoTPredictor: A security framework for predicting IoT device behaviours and detecting malicious devices against cyber attacks. Computers & Security. 146. 104037–104037. 9 indexed citations

Ahmed, Khandakar, et al.. (2024). Privacy Preservation of Electronic Health Records in the Modern Era: A Systematic Survey. ACM Computing Surveys. 56(8). 1–37. 38 indexed citations breakdown →

Kayes, A. S. M., et al.. (2024). Safeguarding Individuals and Organizations From Privacy Breaches: A Comprehensive Review of Problem Domains, Solution Strategies, and Prospective Research Directions. IEEE Internet of Things Journal. 12(2). 1247–1265. 2 indexed citations

10.

Kayes, A. S. M., et al.. (2024). A Reinforcement Learning-assisted Evolutionary Computing Approach to Capacitated Vehicle Routing with Time Windows. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 15–16.

11.

Siddique, Nazmul, et al.. (2023). Applied Intelligence for Industry 4.0. 2 indexed citations

12.

Anwar, Adnan, et al.. (2021). IoT-Enabled Smart Energy Grid: Applications and Challenges. IEEE Access. 9. 50961–50981. 156 indexed citations breakdown →

13.

Kayes, A. S. M., et al.. (2021). Towards Developing a Framework to Analyze the Qualities of the University Websites. Computers. 10(5). 57–57. 13 indexed citations

14.

Ng, Alex, et al.. (2021). A Mechanism to Detect and Prevent Ethereum Blockchain Smart Contract Reentrancy Attacks. Frontiers in Computer Science. 3. 29 indexed citations

15.

Sarker, Iqbal H., A. S. M. Kayes, Shahriar Badsha, et al.. (2020). Cybersecurity data science: an overview from machine learning perspective. Journal Of Big Data. 7(1). 366 indexed citations breakdown →

16.

Anwar, Tarique, et al.. (2020). Inferring Location Types With Geo-Social-Temporal Pattern Mining. IEEE Access. 8. 154789–154799. 4 indexed citations

17.

Sharif, Omar, et al.. (2020). Detecting Suspicious Texts Using Machine Learning Techniques. Applied Sciences. 10(18). 6527–6527. 27 indexed citations

18.

Kayes, A. S. M., et al.. (2020). Integration of IoT Streaming Data With Efficient Indexing and Storage Optimization. IEEE Access. 8. 47456–47467. 19 indexed citations

19.

Islam, Md. Saiful, et al.. (2020). A deep learning model for mining and detecting causally related events in tweets. Concurrency and Computation Practice and Experience. 34(2). 8 indexed citations

20.

Kayes, A. S. M., et al.. (2020). A Framework for Measuring IoT Data Quality Based on Freshness Metrics. 1242–1249. 3 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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