Angela Amphawan

3.1k total citations
134 papers, 2.3k citations indexed

About

Angela Amphawan is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Angela Amphawan has authored 134 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Electrical and Electronic Engineering, 22 papers in Atomic and Molecular Physics, and Optics and 18 papers in Artificial Intelligence. Recurrent topics in Angela Amphawan's work include Optical Network Technologies (64 papers), Advanced Photonic Communication Systems (41 papers) and Photonic and Optical Devices (32 papers). Angela Amphawan is often cited by papers focused on Optical Network Technologies (64 papers), Advanced Photonic Communication Systems (41 papers) and Photonic and Optical Devices (32 papers). Angela Amphawan collaborates with scholars based in Malaysia, United States and India. Angela Amphawan's co-authors include Sushank Chaudhary, Yousef Fazea, Kashif Nisar, S. A. Aljunid, Santosh Kumar, Hilal A. Fadhil, Hamza Mohammed Ridha Al‐Khafaji, Muhammed Basheer Jasser, Gurdeep Singh and Vivekanand Mishra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Optics Express.

In The Last Decade

Angela Amphawan

124 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angela Amphawan Malaysia 30 2.0k 445 293 285 157 134 2.3k
Paulo P. Monteiro Portugal 25 2.5k 1.3× 428 1.0× 306 1.0× 154 0.5× 383 2.4× 372 3.0k
Wei Zhuang China 18 530 0.3× 340 0.8× 187 0.6× 169 0.6× 302 1.9× 142 1.3k
Shanguo Huang China 23 1.8k 0.9× 613 1.4× 355 1.2× 69 0.2× 703 4.5× 377 2.4k
Junbin Fang China 20 746 0.4× 209 0.5× 70 0.2× 276 1.0× 95 0.6× 96 1.3k
Sushank Chaudhary China 31 1.9k 1.0× 249 0.6× 493 1.7× 80 0.3× 49 0.3× 111 2.2k
Qinghua Tian China 17 1.0k 0.5× 480 1.1× 137 0.5× 104 0.4× 148 0.9× 200 1.3k
Anthony C. Boucouvalas Greece 25 2.0k 1.0× 165 0.4× 161 0.5× 121 0.4× 1.2k 7.9× 177 2.7k
Rameez Asif United Kingdom 17 584 0.3× 90 0.2× 126 0.4× 225 0.8× 219 1.4× 106 1.0k
Elaine Wong Australia 28 2.5k 1.3× 355 0.8× 52 0.2× 122 0.4× 822 5.2× 236 3.1k

Countries citing papers authored by Angela Amphawan

Since Specialization
Citations

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

Fields of papers citing papers by Angela Amphawan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Amphawan

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Amphawan. A scholar is included among the top collaborators of Angela Amphawan 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 Angela Amphawan. Angela Amphawan 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.
2.
Jasser, Muhammed Basheer, et al.. (2025). Advancements and challenges in latency-optimized joint SFC placement and routing: a comprehensive review and future perspectives. International Journal of Systems Assurance Engineering and Management. 16(3). 1072–1105.
3.
Bazai, Sibghat Ullah, et al.. (2024). A comparative study of machine learning techniques for accurate disease prediction using symptom-based diagnosis. AIP conference proceedings. 3153. 20005–20005.
4.
Dabbagh, Mohammad, Kashif Saleem, Adel Al-Jumaily, Mohammad Tahir, & Angela Amphawan. (2024). Application of Machine Learning Algorithms for Predicting Employee Attrition. 21–26. 1 indexed citations
5.
Amphawan, Angela, et al.. (2024). Optimizing Medical IoT Disaster Management with Data Compression. SHILAP Revista de lepidopterología. 3(1). 55–66. 3 indexed citations
6.
Behjati, Mehran, et al.. (2024). Enhancing Malicious URL Detection: A Novel Framework Leveraging Priority Coefficient and Feature Evaluation. IEEE Access. 12. 85001–85026. 10 indexed citations
7.
Amphawan, Angela, Mustafa Mohammed Najm, Norshamsuri Ali, et al.. (2023). Rapid-convergence minimum mean square error equalization in few mode fiber. AIP conference proceedings. 2746. 20039–20039. 3 indexed citations
8.
Jasser, Muhammed Basheer, et al.. (2023). A Survey on the Optimization of Artificial Neural Networks Using Swarm Intelligence Algorithms. IEEE Access. 11. 1280–1294. 47 indexed citations
9.
Jasser, Muhammed Basheer, et al.. (2022). An Optimized Discrete Dragonfly Algorithm Tackling the Low Exploitation Problem for Solving TSP. Mathematics. 10(19). 3647–3647. 11 indexed citations
10.
Amphawan, Angela, et al.. (2022). Post-Flood UAV-Based Free Space Optics Recovery Communications with Spatial Mode Diversity. Electronics. 11(14). 2257–2257. 8 indexed citations
11.
Jasser, Muhammed Basheer, et al.. (2022). An Optimized Continuous Dragonfly Algorithm Using Hill Climbing Local Search to Tackle the Low Exploitation Problem. IEEE Access. 10. 95030–95045. 14 indexed citations
12.
Jasser, Muhammed Basheer, et al.. (2021). Dragonfly Algorithm and Its Hybrids: A Survey on Performance, Objectives and Applications. Sensors. 21(22). 7542–7542. 30 indexed citations
13.
Jasser, Muhammed Basheer, et al.. (2021). An Enhanced Swap Sequence-Based Particle Swarm Optimization Algorithm to Solve TSP. IEEE Access. 9. 164820–164836. 29 indexed citations
14.
Aljunid, S. A., et al.. (2020). Comparison of Laguerre-Gaussian, Hermite–Gaussian and linearly polarized modes in SDM over FMF with electrical nonlinear equalizer. AIP conference proceedings. 2203. 20045–20045. 18 indexed citations
15.
Masuda, Takahiko, et al.. (2019). Comparison of Different Wavelength Propagations over Few-Mode Fiber based on Space Division Multiplexing in Conjunction with Electrical Equalization. International Journal of Electronics and Telecommunications. 5–10. 8 indexed citations
16.
Amphawan, Angela, et al.. (2018). Channel Impulse Response Equalization based on Genetic Algorithm in Mode Division Multiplexing. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 10. 149–154. 9 indexed citations
17.
Chaudhary, Sushank & Angela Amphawan. (2018). Selective excitation of LG 00, LG 01, and LG 02 modes by a solid core PCF based mode selector in MDM-Ro-FSO transmission systems. Laser Physics. 28(7). 75106–75106. 36 indexed citations
18.
Amphawan, Angela, Sushank Chaudhary, & Tse‐Kian Neo. (2015). Hermite-Gaussian Mode Division Multiplexing for Free-Space Optical Interconnects. Advanced Science Letters. 21(10). 3050–3053. 30 indexed citations
19.
Sarkar, Nurul I., et al.. (2014). Hospital Environment Scenarios using WLAN over OPNET Simulation Tool. Universiti Utara Malaysia Institutional Repository (Universiti Utara Malaysia). 6(1). 69–90. 10 indexed citations
20.
Fadhil, Hilal A., et al.. (2013). Comparison of Single Mode Fiber and Multimode Fiber in Deployment of SCM-OCDMA in Local Area Network. Key engineering materials. 594-595. 1037–1040. 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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