Saman Riaz

784 total citations · 1 hit paper
30 papers, 509 citations indexed

About

Saman Riaz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Saman Riaz has authored 30 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Saman Riaz's work include Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (7 papers) and Chaos-based Image/Signal Encryption (6 papers). Saman Riaz is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (7 papers) and Chaos-based Image/Signal Encryption (6 papers). Saman Riaz collaborates with scholars based in Pakistan, China and Saudi Arabia. Saman Riaz's co-authors include Arshad Ali, Licheng Jiao, Ashit Kumar Dutta, Sultan Almotairi, Muhammad Aamir, Abdulrahman Alruban, Nazri Mohd Nawi, Umer Farooq, Shahab S. Band and Ahmed Jan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of Magnetism and Magnetic Materials.

In The Last Decade

Saman Riaz

28 papers receiving 478 citations

Hit Papers

A Comparison of Pooling Methods for Convolutional Neural ... 2022 2026 2023 2024 2022 50 100 150
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 Comparison of Pooling Methods for Convolutional Neural Networks
    2022 182 citations Muhammad Aamir, Nazri Mohd Nawi et al. Applied Sciences profile →

Peers

Saman Riaz
Marius-Constantin Popescu Romania
Liliana Perescu-Popescu Romania
Khalid Mahmood Awan Pakistan
Naveed Riaz Pakistan
Yuling Fan China
Yin-Wen Chang United States
Fengxi Song China
Donglin Zhu China
Yangfan Zhou China
Marius-Constantin Popescu Romania
Saman Riaz
Citations per year, relative to Saman Riaz Saman Riaz (= 1×) peers Marius-Constantin Popescu

Countries citing papers authored by Saman Riaz

Since Specialization
Citations

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

Fields of papers citing papers by Saman Riaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saman Riaz

This figure shows the co-authorship network connecting the top 25 collaborators of Saman Riaz. A scholar is included among the top collaborators of Saman Riaz 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 Saman Riaz. Saman Riaz 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.
Ali, Arshad, et al.. (2024). Convolutional Neural Networks: A Comprehensive Evaluation and Benchmarking of Pooling Layer Variants. Symmetry. 16(11). 1516–1516. 1 indexed citations
2.
Ahmed, Waqas, et al.. (2024). Harnessing Rubik's Cube Algorithm for Counteracting Man-in-the-Middle Attacks. 1 indexed citations
3.
4.
Ali, Arshad, Muhammad Nadeem, Saman Riaz, et al.. (2023). Hill Matrix and Radix-64 Bit Algorithm to Preserve Data Confidentiality. Computers, materials & continua/Computers, materials & continua (Print). 75(2). 3065–3089. 2 indexed citations
5.
Riaz, Saman, Arshad Ali, Shahab S. Band, & Amir Mosavi. (2023). Deep Bimodal Fusion Approach for Apparent Personality Analysis. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 2301–2312. 1 indexed citations
6.
Rashid, Muhammad, Afia Zafar, Benish Fida, et al.. (2023). An efficient hybrid approach for optimization using simulated annealing and grasshopper algorithm for IoT applications. SHILAP Revista de lepidopterología. 3(1). 8 indexed citations
7.
Ali, Arshad, Saman Riaz, Ashit Kumar Dutta, et al.. (2022). Development of Security Rules and Mechanisms to Protect Data from Assaults. Applied Sciences. 12(24). 12578–12578. 6 indexed citations
8.
Ali, Arshad, et al.. (2022). Preventing Cloud Network from Spamming Attacks Using Cloudflare and KNN. Computers, materials & continua/Computers, materials & continua (Print). 74(2). 2641–2659. 2 indexed citations
9.
Ali, Arshad, et al.. (2022). Two Layer Symmetric Cryptography Algorithm for Protecting Data from燗ttacks. Computers, materials & continua/Computers, materials & continua (Print). 74(2). 2625–2640. 5 indexed citations
10.
Ali, Arshad, et al.. (2022). Preventing the Cloud Networks through Semi-Supervised Clustering from Both Sides Attacks. Applied Sciences. 12(15). 7701–7701. 2 indexed citations
11.
Riaz, Saman, Arshad Ali, Shahab S. Band, & Amir Mosavi. (2022). Transforming Hand Drawn Wireframes into Front-End Code with Deep Learning. Computers, materials & continua/Computers, materials & continua (Print). 72(3). 4303–4321. 3 indexed citations
12.
Aamir, Muhammad, Nazri Mohd Nawi, Arshad Ali, et al.. (2022). A Comparison of Pooling Methods for Convolutional Neural Networks. Applied Sciences. 12(17). 8643–8643. 182 indexed citations breakdown →
13.
Ali, Arshad, et al.. (2022). A Secure Architecture to Protect the Network from Replay Attacks during Client-to-Client Data Transmission. Applied Sciences. 12(16). 8143–8143. 5 indexed citations
14.
Ali, Arshad, et al.. (2021). Intercept the Cloud Network From Brute Force and DDoS Attacks via Intrusion Detection and Prevention System. IEEE Access. 9. 152300–152309. 42 indexed citations
15.
Riaz, Saman, Arshad Ali, & Licheng Jiao. (2019). A Semi-Supervised CNN With Fuzzy Rough C-Mean for Image Classification. IEEE Access. 7. 49641–49652. 11 indexed citations
16.
Ali, Arshad, Saman Riaz, & Licheng Jiao. (2019). Semi-Supervised Deep Fuzzy C-Mean Clustering for Imbalanced Multi-Class Classification. IEEE Access. 7. 28100–28112. 38 indexed citations
17.
Riaz, Saman, et al.. (2018). Methylglyoxal and insulin resistance in berberine-treated type 2 diabetic patients. Journal of Research in Medical Sciences. 23(1). 110–110. 22 indexed citations
18.
Ali, Arshad, et al.. (2018). The Empirical Study of Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction. IEEE Access. 6. 47047–47061. 17 indexed citations
19.
Riaz, Saman, Arshad Ali, & Licheng Jiao. (2018). Fuzzy Rough C-Mean Based Unsupervised CNN Clustering for Large-Scale Image Data. Applied Sciences. 8(10). 1869–1869. 9 indexed citations
20.
Ali, Arshad, et al.. (2018). Semi-Supervised Deep Fuzzy C-Mean Clustering for Software Fault Prediction. IEEE Access. 6. 25675–25685. 27 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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