Saqib Hakak

2.1k total citations · 2 hit papers
21 papers, 1.4k citations indexed

About

Saqib Hakak is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Saqib Hakak has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 7 papers in Artificial Intelligence and 6 papers in Sociology and Political Science. Recurrent topics in Saqib Hakak's work include Spam and Phishing Detection (7 papers), Advanced Malware Detection Techniques (6 papers) and Misinformation and Its Impacts (5 papers). Saqib Hakak is often cited by papers focused on Spam and Phishing Detection (7 papers), Advanced Malware Detection Techniques (6 papers) and Misinformation and Its Impacts (5 papers). Saqib Hakak collaborates with scholars based in Canada, India and Pakistan. Saqib Hakak's co-authors include Thippa Reddy Gadekallu, Wazir Zada Khan, Mamoun Alazab, Praveen Kumar Reddy Maddikunta, Sweta Bhattacharya, Quoc‐Viet Pham, Suleman Khan, Alireza Jolfaei, Kim‐Kwang Raymond Choo and Fazli Subhan and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and Future Generation Computer Systems.

In The Last Decade

Saqib Hakak

20 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges

2021 401 citations Praveen Kumar Reddy Maddikunta, Saqib Hakak et al. IEEE Sensors Journal profile →
An ensemble machine learning approach through effective feature extraction to classify fake news

2020 271 citations Saqib Hakak, Mamoun Alazab et al. Future Generation Computer Systems profile →

Peers

Saqib Hakak

CNC

SPS

Abdul Razaque United States

Md. Arafatur Rahman Malaysia

Lianyong Qi China

Hosam Alhakami Saudi Arabia

Amandeep Kaur India

Adarsh Kumar India

Shadi AlZu’bi Jordan

Xiaoding Wang China

Abbas Yazdinejad Canada

Ali Alzahrani Saudi Arabia

Abdul Razaque United States

Saqib Hakak

585 ×1.3

611 ×1.5

959 ×3.1

CNC

112 ×0.4

SPS

328 ×1.8

Citations per year, relative to Saqib Hakak Saqib Hakak (= 1×) peers Abdul Razaque

Countries citing papers authored by Saqib Hakak

Since Specialization

Citations

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

Fields of papers citing papers by Saqib Hakak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saqib Hakak

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

Hakak, Saqib, et al.. (2023). A Self-Attention Mechanism-Based Model for Early Detection of Fake News. IEEE Transactions on Computational Social Systems. 11(4). 5241–5252. 3 indexed citations

Hakak, Saqib, et al.. (2023). A Comparison of Machine Learning Algorithms for Multilingual Phishing Detection. 1–6.

Kelly, Brett, et al.. (2022). CephArmor: A Lightweight Cryptographic Interface for Secure High-Performance Ceph Storage Systems. IEEE Access. 10. 127911–127927. 6 indexed citations

Gadekallu, Thippa Reddy, et al.. (2022). Driver Identification Using Optimized Deep Learning Model in Smart Transportation. ACM Transactions on Internet Technology. 22(4). 1–17. 29 indexed citations

Hakak, Saqib, et al.. (2022). Are You a Cyborg, Bot or Human?—A Survey on Detecting Fake News Spreaders. IEEE Access. 10. 27069–27083. 42 indexed citations

Khan, Suleman, et al.. (2022). Detecting COVID-19-Related Fake News Using Feature Extraction. Frontiers in Public Health. 9. 788074–788074. 38 indexed citations

Kumar, V. D. Ambeth, et al.. (2022). Green-Tech CAV: Next Generation Computing for Traffic Sign and Obstacle Detection in Connected and Autonomous Vehicles. IEEE Transactions on Green Communications and Networking. 6(3). 1307–1315. 11 indexed citations

Shaikh, Tawseef Ayoub, et al.. (2022). Machine Learning and Artificial Intelligence in Healthcare Systems. 7 indexed citations

Hakak, Saqib, et al.. (2022). Detecting and Mitigating the Dissemination of Fake News: Challenges and Future Research Opportunities. IEEE Transactions on Computational Social Systems. 11(4). 4649–4662. 38 indexed citations

10.

Bhattacharya, Sweta, Mamoun Alazab, Thippa Reddy Gadekallu, et al.. (2021). Recent advances in blockchain technology: a survey on applications and challenges. International Journal of Ad Hoc and Ubiquitous Computing. 38(1/2/3). 82–82. 2 indexed citations

11.

Maddikunta, Praveen Kumar Reddy, Saqib Hakak, Mamoun Alazab, et al.. (2021). Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges. IEEE Sensors Journal. 21(16). 17608–17619. 401 indexed citations breakdown →

12.

Hakak, Saqib, Wazir Zada Khan, Gulshan Amin Gilkar, et al.. (2021). Recent advances in blockchain technology: a survey on applications and challenges. International Journal of Ad Hoc and Ubiquitous Computing. 38(1/2/3). 82–82. 26 indexed citations

13.

Jarwar, Muhammad Aslam, Sunder Ali Khowaja, Kapal Dev, Mainak Adhikari, & Saqib Hakak. (2021). NEAT: A Resilient Deep Representational Learning for Fault Detection Using Acoustic Signals in IIoT Environment. IEEE Internet of Things Journal. 10(4). 2864–2871. 17 indexed citations

14.

Subhan, Fazli, Wazir Zada Khan, Saqib Hakak, et al.. (2020). A Systematic Review on Clone Node Detection in Static Wireless Sensor Networks. IEEE Access. 8. 65450–65461. 96 indexed citations

15.

Asghar, Muhammad Zubair, Fazli Subhan, Wazir Zada Khan, et al.. (2020). Senti‐eSystem: A sentiment‐based eSystem‐using hybridized fuzzy and deep neural network for measuring customer satisfaction. Software Practice and Experience. 51(3). 571–594. 52 indexed citations

16.

Hakak, Saqib, Wazir Zada Khan, Muhammad Imran, Kim‐Kwang Raymond Choo, & Muhammad Shoaib. (2020). Have You Been a Victim of COVID-19-Related Cyber Incidents? Survey, Taxonomy, and Mitigation Strategies. IEEE Access. 8. 124134–124144. 74 indexed citations

17.

Gadekallu, Thippa Reddy, et al.. (2020). Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications. arXiv (Cornell University). 59 indexed citations

18.

Hakak, Saqib, Mamoun Alazab, Suleman Khan, et al.. (2020). An ensemble machine learning approach through effective feature extraction to classify fake news. Future Generation Computer Systems. 117. 47–58. 271 indexed citations breakdown →

19.

Gadekallu, Thippa Reddy, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, et al.. (2020). Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset. Multimedia Tools and Applications. 81(29). 41429–41453. 72 indexed citations

20.

Gadekallu, Thippa Reddy, Sweta Bhattacharya, Chiranji Lal Chowdhary, et al.. (2020). An Ensemble based Machine Learning model for Diabetic Retinopathy Classification. 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). 1–6. 98 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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