Kamran Siddique

1.2k total citations
42 papers, 740 citations indexed

About

Kamran Siddique is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Kamran Siddique has authored 42 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 11 papers in Artificial Intelligence. Recurrent topics in Kamran Siddique's work include Advanced Malware Detection Techniques (7 papers), Constructed Wetlands for Wastewater Treatment (3 papers) and User Authentication and Security Systems (3 papers). Kamran Siddique is often cited by papers focused on Advanced Malware Detection Techniques (7 papers), Constructed Wetlands for Wastewater Treatment (3 papers) and User Authentication and Security Systems (3 papers). Kamran Siddique collaborates with scholars based in Malaysia, United States and South Korea. Kamran Siddique's co-authors include Zahid Akhtar, Yangwoo Kim, Farrukh Aslam Khan, Abdulkadir Şengür, Arafat Al-Dhaqm, Victor R. Kebande, Shukor Abd Razak, Richard A. Ikuesan, Ka Lok Man and Mohammed Alswaitti and has published in prestigious journals such as Chemosphere, IEEE Access and Computer.

In The Last Decade

Kamran Siddique

38 papers receiving 716 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamran Siddique Malaysia 17 212 198 168 168 136 42 740
Avinash Sharma India 18 195 0.9× 206 1.0× 172 1.0× 56 0.3× 151 1.1× 113 964
Mohit Agarwal India 16 159 0.8× 88 0.4× 86 0.5× 66 0.4× 163 1.2× 55 1.4k
Semih Ergi̇n Türkiye 12 212 1.0× 57 0.3× 106 0.6× 58 0.3× 101 0.7× 45 808
Amitabha Chakrabarty Bangladesh 16 203 1.0× 99 0.5× 117 0.7× 73 0.4× 132 1.0× 85 760
Lifang Wu China 19 307 1.4× 37 0.2× 167 1.0× 185 1.1× 656 4.8× 142 1.2k
V. Muneeswaran India 18 185 0.9× 107 0.5× 116 0.7× 58 0.3× 196 1.4× 85 803
Ghulam Ali Pakistan 15 147 0.7× 49 0.2× 31 0.2× 33 0.2× 213 1.6× 42 811
Maria Habib Jordan 18 408 1.9× 157 0.8× 148 0.9× 166 1.0× 38 0.3× 42 872
Rakesh Kumar Mahendran India 13 108 0.5× 119 0.6× 89 0.5× 67 0.4× 92 0.7× 38 605

Countries citing papers authored by Kamran Siddique

Since Specialization
Citations

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

Fields of papers citing papers by Kamran Siddique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamran Siddique

This figure shows the co-authorship network connecting the top 25 collaborators of Kamran Siddique. A scholar is included among the top collaborators of Kamran Siddique 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 Siddique. Kamran Siddique 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.
Akhtar, Zahid, et al.. (2025). A Multi-Scale Feature Extraction and Fusion Deep Learning Method for Classification of Wheat Diseases. Journal of Computer Science. 21(1). 34–42. 5 indexed citations
2.
Akhtar, Zahid, et al.. (2025). The Importance of AI Data Governance in Large Language Models. Big Data and Cognitive Computing. 9(6). 147–147. 2 indexed citations
3.
Sharif, Muhammad Imran, et al.. (2024). Federated Learning for Analysis of Medical Images: A Survey. Journal of Computer Science. 20(12). 1610–1621. 3 indexed citations
4.
Sharif, Muhammad, et al.. (2024). Phishing Website Detection Using Improved Multilayered Convolutional Neural Networks. SSRN Electronic Journal.
5.
Sharif, Muhammad, et al.. (2024). A Comprehensive Survey on Applications, Challenges, Threats and Solutions in IoT Environment and Architecture. Journal of Computer Science. 20(3). 310–332. 1 indexed citations
6.
Sharif, Muhammad, et al.. (2024). Phishing Website Detection Using Improved Multilayered Convolutional Neural Networks. Journal of Computer Science. 20(9). 1069–1079. 3 indexed citations
7.
Arslan, Muhammad, Kamran Siddique, Jochen A. Müller, et al.. (2023). Full-Scale Floating Treatment Wetlands in Pakistan: From Performance Evaluation to Public Acceptance. ACS ES&T Water. 3(11). 3516–3525. 7 indexed citations
8.
Akhtar, Zahid, et al.. (2023). Investigating TrustZone: A Comprehensive Analysis. Security and Communication Networks. 2023. 1–19. 1 indexed citations
9.
10.
Naqvi, Rizwan Ali, et al.. (2022). Designing Deep Learning Hardware Accelerator and Efficiency Evaluation. Computational Intelligence and Neuroscience. 2022. 1–11. 7 indexed citations
11.
Siddique, Kamran, et al.. (2022). Dental Caries Detection Using Score-Based Multi-Input Deep Convolutional Neural Network. IEEE Access. 10. 18320–18329. 57 indexed citations
12.
Siddique, Kamran, et al.. (2022). Wavelet ELM-AE Based Data Augmentation and Deep Learning for Efficient Emotion Recognition Using EEG Recordings. IEEE Access. 10. 72171–72181. 19 indexed citations
13.
Zhou, Zijian, et al.. (2022). An AI-empowered affect recognition model for healthcare and emotional well-being using physiological signals. Cluster Computing. 26(2). 1253–1266. 19 indexed citations
14.
Chen, Weijian, et al.. (2022). Resistive-RAM-Based In-Memory Computing for Neural Network: A Review. Electronics. 11(22). 3667–3667. 22 indexed citations
15.
Al-Dhaqm, Arafat, Shukor Abd Razak, Kim‐Kwang Raymond Choo, et al.. (2020). Categorization and Organization of Database Forensic Investigation Processes. IEEE Access. 8. 112846–112858. 44 indexed citations
16.
Al-Dhaqm, Arafat, Shukor Abd Razak, Richard A. Ikuesan, Victor R. Kebande, & Kamran Siddique. (2020). A Review of Mobile Forensic Investigation Process Models. IEEE Access. 8. 173359–173375. 46 indexed citations
17.
Karim, Asim, et al.. (2020). Gly-LysPred: Identification of Lysine Glycation Sites in Protein Using Position Relative Features and Statistical Moments Via Chou’s 5 Step Rule. Computers, materials & continua/Computers, materials & continua (Print). 66(2). 2165–2181. 8 indexed citations
18.
Arslan, Muhammad, Ghulam Shabir, Tahira Yasmeen, et al.. (2019). Phragmites australis in combination with hydrocarbons degrading bacteria is a suitable option for remediation of diesel-contaminated water in floating wetlands. Chemosphere. 240. 124890–124890. 68 indexed citations
19.
Siddique, Kamran, et al.. (2019). Management and Evaluation of Communication and Coordination Practices among Multi Stakeholders in Complex Engineering Projects in Pakistan. European Scientific Journal ESJ. 15(3). 1 indexed citations
20.
Akhtar, Zahid, et al.. (2019). A deep learning platooning-based video information-sharing Internet of Things framework for autonomous driving systems. International Journal of Distributed Sensor Networks. 15(11). 812341081–812341081. 12 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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