Fumie Costen

741 total citations
72 papers, 485 citations indexed

About

Fumie Costen is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Fumie Costen has authored 72 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 25 papers in Atomic and Molecular Physics, and Optics and 19 papers in Biomedical Engineering. Recurrent topics in Fumie Costen's work include Electromagnetic Simulation and Numerical Methods (39 papers), Electromagnetic Scattering and Analysis (20 papers) and Microwave Imaging and Scattering Analysis (16 papers). Fumie Costen is often cited by papers focused on Electromagnetic Simulation and Numerical Methods (39 papers), Electromagnetic Scattering and Analysis (20 papers) and Microwave Imaging and Scattering Analysis (16 papers). Fumie Costen collaborates with scholars based in United Kingdom, Japan and France. Fumie Costen's co-authors include Ryutaro Himeno, Hideo Yokota, Jean-Pierre Bérenger, Runze Hu, Vikass Monebhurrun, Salvador G. García, Anthony K. Brown, Mehmet Yavuz, Karim M. Nasr and Naotoshi Nakashima and has published in prestigious journals such as IEEE Access, IEEE Transactions on Antennas and Propagation and Pattern Recognition Letters.

In The Last Decade

Fumie Costen

59 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fumie Costen United Kingdom 14 266 158 110 68 54 72 485
Bin Xue China 14 207 0.8× 103 0.7× 79 0.7× 25 0.4× 143 2.6× 56 562
H. Wang United States 16 518 1.9× 211 1.3× 50 0.5× 44 0.6× 9 0.2× 69 1.1k
Yan‐Zhao Xie China 17 710 2.7× 105 0.7× 67 0.6× 120 1.8× 13 0.2× 166 945
Huan Wu China 12 393 1.5× 180 1.1× 69 0.6× 17 0.3× 40 0.7× 51 536
Yipeng Ding China 16 142 0.5× 59 0.4× 214 1.9× 42 0.6× 81 1.5× 72 624
Hang Xu China 13 169 0.6× 89 0.6× 89 0.8× 106 1.6× 55 1.0× 53 448
Michael Chen United States 9 70 0.3× 107 0.7× 58 0.5× 21 0.3× 50 0.9× 24 565
Chunxi Zhang China 15 804 3.0× 351 2.2× 101 0.9× 125 1.8× 87 1.6× 175 1.1k
Frank Sabath Germany 15 784 2.9× 266 1.7× 39 0.4× 32 0.5× 11 0.2× 59 950

Countries citing papers authored by Fumie Costen

Since Specialization
Citations

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

Fields of papers citing papers by Fumie Costen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumie Costen

This figure shows the co-authorship network connecting the top 25 collaborators of Fumie Costen. A scholar is included among the top collaborators of Fumie Costen 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 Fumie Costen. Fumie Costen 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.
Cole, James H., et al.. (2025). Brain Age Prediction Using a Lightweight Convolutional Neural Network. IEEE Access. 13. 6750–6763. 1 indexed citations
2.
Papa, João Paulo, et al.. (2024). SurvNet: A low-complexity convolutional neural network for survival time classification of patients with glioblastoma. Heliyon. 10(12). e32870–e32870. 3 indexed citations
3.
Costen, Fumie, et al.. (2024). A twin-tower model using MRI and gene for prediction on brain tumor patients’ response to therapy. Bioinformatics Advances. 5(1). vbaf041–vbaf041. 1 indexed citations
4.
Fort, Emmanuel, et al.. (2022). Tailoring Instantaneous Time Mirrors for Time Reversal Focusing in Absorbing Media. IEEE Transactions on Antennas and Propagation. 70(10). 9630–9640.
5.
Hu, Runze, Vikass Monebhurrun, Ryutaro Himeno, Hideo Yokota, & Fumie Costen. (2022). An Uncertainty Analysis on Finite Difference Time-Domain Computations With Artificial Neural Networks: Improving accuracy while maintaining low computational costs. IEEE Antennas and Propagation Magazine. 65(1). 60–70. 13 indexed citations
6.
Talafha, Bashar, et al.. (2019). JUST at ImageCLEF 2019 Visual Question Answering in the Medical Domain.. CLEF (Working Notes). 8 indexed citations
7.
Hu, Runze, Vikass Monebhurrun, Ryutaro Himeno, Hideo Yokota, & Fumie Costen. (2019). A Statistical Parsimony Method for Uncertainty Quantification of FDTD Computation Based on the PCA and Ridge Regression. IEEE Transactions on Antennas and Propagation. 67(7). 4726–4737. 17 indexed citations
8.
Bérenger, Jean-Pierre, et al.. (2018). An Operator Absorbing Boundary Condition for the Absorption of Electromagnetic Waves in Dispersive Media. IEEE Transactions on Antennas and Propagation. 66(4). 2147–2150. 2 indexed citations
9.
Costen, Fumie, et al.. (2014). Efficient Parallel LOD-FDTD Method for Debye-Dispersive Media. IEEE Transactions on Antennas and Propagation. 62(3). 1330–1338. 22 indexed citations
10.
Costen, Fumie & Jean-Pierre Bérenger. (2012). Implementation of the Huygens Absorbing Boundary Condition in Corner Regions. IEEE Transactions on Electromagnetic Compatibility. 54(2). 367–374. 3 indexed citations
11.
Costen, Fumie, et al.. (2012). Development of a CUDA Implementation of the 3D FDTD Method. IEEE Antennas and Propagation Magazine. 54(5). 186–195. 34 indexed citations
12.
Costa, João C. W. A., Fumie Costen, Jean-Pierre Bérenger, & Anthony K. Brown. (2007). Inclusion of frequency dependency in the huygens subgridding FDTD for UWB systems. Research Explorer (The University of Manchester). 3077–3080. 2 indexed citations
13.
Nasr, Karim M., Fumie Costen, & S.K. Barton. (2006). Positioning and Channel Estimation Errors and their Impact on a Smart Antenna System in an Indoor WLAN. Greenwich Academic Literature Archive (University of Greenwich). 1. 639–643.
14.
Nasr, Karim M., Fumie Costen, & S.K. Barton. (2006). Average Signal Level Prediction in an Indoor WLAN Using Wall Imperfection Model. Greenwich Academic Literature Archive (University of Greenwich). 1. 674–678. 1 indexed citations
15.
Costen, Fumie, et al.. (2005). Guideline for a UWB waveform robust to the numerical dispersion in FDTD schemes. Research Explorer (The University of Manchester). 3A. 329–332.
16.
Costen, Fumie, et al.. (2004). On the Implementation of the Frequency-Dependent Alternating Direction-Implicit Finite-Difference Time-Domain Method. Research Explorer (The University of Manchester). 1 indexed citations
17.
Nasr, Karim M., Fumie Costen, & Stephen Barton. (2003). An Optimum Combiner for a Smart Antenna in an Indoor Infrastructure WLAN. 1 indexed citations
18.
Nasr, Karim M., Fumie Costen, & S.K. Barton. (2003). An optimum combiner for a smart antenna in an indoor infrastructure wireless local area network. Greenwich Academic Literature Archive (University of Greenwich). 85. 193–197 Vol.1. 4 indexed citations
19.
Iizuka, Keigo, et al.. (2001). Three-dimensional laser microvision. Applied Optics. 40(11). 1784–1784. 12 indexed citations
20.
Brooke, John, Stephen Pickles, Fumie Costen, & S. M. Ord. (2000). Using metacomputing to process scientific data. Research Explorer (The University of Manchester). 2 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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