Summrina Kanwal

575 total citations
22 papers, 371 citations indexed

About

Summrina Kanwal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Summrina Kanwal has authored 22 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Summrina Kanwal's work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Image and Signal Denoising Methods (2 papers). Summrina Kanwal is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Image and Signal Denoising Methods (2 papers). Summrina Kanwal collaborates with scholars based in Saudi Arabia, Pakistan and United Kingdom. Summrina Kanwal's co-authors include Amir Hussain, Sultan Alamri, Muhammad Hussain, Ali El‐Zaart, Usama Mir, Ubaid Abbasi, Kaizhu Huang, Talha Mir, Jingpeng Li and Guang Yang and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Summrina Kanwal

21 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Summrina Kanwal Saudi Arabia 11 185 67 61 49 46 22 371
Tamanna Siddiqui India 9 152 0.8× 103 1.5× 101 1.7× 68 1.4× 50 1.1× 33 506
Bryar A. Hassan Iraq 11 239 1.3× 78 1.2× 36 0.6× 72 1.5× 60 1.3× 30 472
Song Yang China 12 104 0.6× 52 0.8× 87 1.4× 148 3.0× 40 0.9× 42 489
Mohammed Eshtay Jordan 9 262 1.4× 57 0.9× 19 0.3× 72 1.5× 68 1.5× 15 394
Hadeel Alsolai Saudi Arabia 12 199 1.1× 113 1.7× 105 1.7× 106 2.2× 81 1.8× 32 604
Mohammad Hashem Ryalat Jordan 10 232 1.3× 80 1.2× 79 1.3× 21 0.4× 20 0.4× 19 389
Hakan Ezgi Kızılöz Türkiye 10 329 1.8× 94 1.4× 26 0.4× 40 0.8× 42 0.9× 20 517
Pradip Dhal India 7 194 1.0× 75 1.1× 27 0.4× 51 1.0× 35 0.8× 13 386
Jianzhong Qiao China 11 74 0.4× 71 1.1× 35 0.6× 43 0.9× 41 0.9× 47 305

Countries citing papers authored by Summrina Kanwal

Since Specialization
Citations

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

Fields of papers citing papers by Summrina Kanwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Summrina Kanwal

This figure shows the co-authorship network connecting the top 25 collaborators of Summrina Kanwal. A scholar is included among the top collaborators of Summrina Kanwal 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 Summrina Kanwal. Summrina Kanwal 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.
Farhan, Asma Ahmad, et al.. (2024). Entropy and Memory Aware Active Transfer Learning in Smart Sensing Systems. IEEE Access. 12. 88841–88861. 1 indexed citations
2.
Naseer, Asma, et al.. (2024). Investigating the Taxonomy of Character Recognition Systems: A Systematic Literature Review. IEEE Access. 12. 134285–134303. 4 indexed citations
3.
Alamri, Sultan & Summrina Kanwal. (2024). Enhancing Traffic Systems. International Journal of Data Warehousing and Mining. 20(1). 1–18.
4.
Kanwal, Summrina, et al.. (2023). A hybrid dependency-based approach for Urdu sentiment analysis. Scientific Reports. 13(1). 22075–22075. 8 indexed citations
5.
Rajabi, Enayat, et al.. (2023). A Knowledge-Based AI Framework for Mobility as a Service. Sustainability. 15(3). 2717–2717. 5 indexed citations
6.
Kanwal, Summrina, et al.. (2023). An Intelligent Heart Disease Prediction Framework Using Machine Learning and Deep Learning Techniques. International Journal of Data Warehousing and Mining. 19(1). 1–24. 1 indexed citations
7.
Kanwal, Summrina, et al.. (2022). COVID‐opt‐aiNet: A clinical decision support system for COVID‐19 detection. International Journal of Imaging Systems and Technology. 32(2). 444–461. 9 indexed citations
8.
Kanwal, Summrina, et al.. (2022). Cognitive-inspired Post-processing of optical character recognition for Swedish addresses. 248–257. 1 indexed citations
9.
Kanwal, Summrina, et al.. (2022). A multimodal deep learning infused with artificial algae algorithm – An architecture of advanced E-health system for cancer prognosis prediction. Journal of King Saud University - Computer and Information Sciences. 34(6). 2707–2719. 10 indexed citations
10.
Kanwal, Summrina, et al.. (2021). Urdu Sentiment Analysis via Multimodal Data Mining Based on Deep Learning Algorithms. IEEE Access. 9. 153072–153082. 32 indexed citations
11.
Kanwal, Summrina, et al.. (2021). Feature Selection Using Artificial Immune Network: An Approach for Software Defect Prediction. Intelligent Automation & Soft Computing. 29(3). 669–684. 18 indexed citations
12.
Mir, Usama, Ubaid Abbasi, Talha Mir, Summrina Kanwal, & Sultan Alamri. (2021). Energy Management in Smart Buildings and Homes: Current Approaches, a Hypothetical Solution, and Open Issues and Challenges. IEEE Access. 9. 94132–94148. 30 indexed citations
13.
Ali, Abder-Rahman, Jingpeng Li, Summrina Kanwal, et al.. (2020). A Novel Fuzzy Multilayer Perceptron (F-MLP) for the Detection of Irregularity in Skin Lesion Border Using Dermoscopic Images. Frontiers in Medicine. 7. 297–297. 22 indexed citations
14.
Kanwal, Summrina, et al.. (2020). Hyper-Parameter Optimization of Classifiers, Using an Artificial Immune Network and Its Application to Software Bug Prediction. IEEE Access. 8. 20954–20964. 43 indexed citations
15.
Kanwal, Summrina, Amir Hussain, & Kaizhu Huang. (2020). Novel Artificial Immune Networks-based optimization of shallow machine learning (ML) classifiers. Expert Systems with Applications. 165. 113834–113834. 15 indexed citations
16.
Kanwal, Summrina, et al.. (2019). Speech Enhancement Based on Adaptive Noise Cancellation and Particle Swarm Optimization. Journal of Computer Science. 15(5). 691–701. 3 indexed citations
17.
Kanwal, Summrina, Amir Hussain, & Kaizhu Huang. (2017). Three-Dimensional Local Energy-Based Shape Histogram (3D-LESH): A Novel Feature Extraction Technique. Expert Systems with Applications. 112. 388–400. 13 indexed citations
18.
Ali, Liaqat, Summrina Kanwal, Zain Hussain, et al.. (2017). Machine learning based computer-aided diagnosis of liver tumours. Stirling Online Research Repository (University of Stirling). 139–145. 12 indexed citations
19.
Kanwal, Summrina & Amir Hussain. (2015). Local energy-based shape histogram feature extraction technique for breast cancer diagnosis. Expert Systems with Applications. 42(20). 6990–6999. 40 indexed citations
20.
Kanwal, Summrina, et al.. (2011). Robust and Imperceptible Image Watermarking using Full Counter Propagation Neural Networks. 4 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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