Chien‐Ching Chiu

1.7k total citations
176 papers, 1.4k citations indexed

About

Chien‐Ching Chiu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Ocean Engineering. According to data from OpenAlex, Chien‐Ching Chiu has authored 176 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Biomedical Engineering, 83 papers in Electrical and Electronic Engineering and 63 papers in Ocean Engineering. Recurrent topics in Chien‐Ching Chiu's work include Microwave Imaging and Scattering Analysis (87 papers), Geophysical Methods and Applications (63 papers) and Antenna Design and Analysis (50 papers). Chien‐Ching Chiu is often cited by papers focused on Microwave Imaging and Scattering Analysis (87 papers), Geophysical Methods and Applications (63 papers) and Antenna Design and Analysis (50 papers). Chien‐Ching Chiu collaborates with scholars based in Taiwan, United States and Malaysia. Chien‐Ching Chiu's co-authors include Yean‐Woei Kiang, Po‐Tsun Liu, Jenhui Chen, Chien‐Hung Chen, Kuan‐Chung Chen, Yu‐Ting Cheng, Chunliang Liu, Tao Hu, Hao Jiang and Chaomin Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

Chien‐Ching Chiu

157 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chien‐Ching Chiu Taiwan 18 732 550 498 385 340 176 1.4k
Manuel Benedetti Italy 14 287 0.4× 356 0.6× 223 0.4× 366 1.0× 81 0.2× 36 796
Nicola Anselmi Italy 26 391 0.5× 806 1.5× 283 0.6× 1.0k 2.7× 169 0.5× 88 1.7k
Anyong Qing China 22 321 0.4× 1.2k 2.1× 200 0.4× 1.3k 3.5× 177 0.5× 111 2.1k
Lorenzo Poli Italy 26 394 0.5× 1.3k 2.3× 259 0.5× 1.7k 4.3× 76 0.2× 82 2.2k
A. Roger France 12 311 0.4× 133 0.2× 144 0.3× 66 0.2× 194 0.6× 40 579
Armin Lechleiter Germany 17 432 0.6× 263 0.5× 109 0.2× 24 0.1× 234 0.7× 63 863
R. Azaro Italy 20 134 0.2× 793 1.4× 97 0.2× 808 2.1× 54 0.2× 75 1.1k
S.M. Riad United States 17 254 0.3× 577 1.0× 166 0.3× 188 0.5× 65 0.2× 64 904
Feng Yang China 26 200 0.3× 1.4k 2.5× 118 0.2× 1.6k 4.2× 109 0.3× 205 2.3k
Reinhard Feger Austria 21 666 0.9× 984 1.8× 72 0.1× 1.2k 3.2× 77 0.2× 142 1.9k

Countries citing papers authored by Chien‐Ching Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Ching Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Ching Chiu. 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 Chien‐Ching Chiu. The network helps show where Chien‐Ching Chiu may publish in the future.

Co-authorship network of co-authors of Chien‐Ching Chiu

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Ching Chiu. A scholar is included among the top collaborators of Chien‐Ching Chiu 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 Chien‐Ching Chiu. Chien‐Ching Chiu 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.
Chiu, Chien‐Ching, et al.. (2025). Convolutional Neural Network-Based Electromagnetic Imaging of Uniaxial Objects in a Half-Space. Sensors. 25(6). 1713–1713.
2.
Chiu, Chien‐Ching, et al.. (2025). Electromagnetic Imaging in Half-Space Using U-Net with the Iterative Modified Contrast Scheme. Sensors. 25(4). 1120–1120.
3.
Chiu, Chien‐Ching, et al.. (2024). Whale Optimization Algorithm with Machine Learning for Microwave Imaging. Electronics. 13(22). 4342–4342. 2 indexed citations
4.
Chiu, Chien‐Ching, et al.. (2024). A Convolutional Neural Network with Multifrequency and Structural Similarity Loss Functions for Electromagnetic Imaging. Sensors. 24(15). 4994–4994. 1 indexed citations
5.
Chiu, Chien‐Ching, et al.. (2024). Application of Self-Attention Generative Adversarial Network for Electromagnetic Imaging in Half-Space. Sensors. 24(7). 2322–2322. 3 indexed citations
6.
Chien, W.T. Kary, et al.. (2023). Reducing Surge Voltage and Ringing Effect of DC Voltage Converter by Transient Suppressor. Sensors and Materials. 35(7). 2413–2413.
7.
Chiu, Chien‐Ching, et al.. (2023). Dielectric Constant Measurement System Based on Rapid Switching. 861–863. 1 indexed citations
8.
Chiu, Chien‐Ching, et al.. (2018). BER Reduction for Ultra Wideband Multicasting System by Beamforming Techniques. Journal of Applied Science and Engineering. 21(4). 587–594. 1 indexed citations
9.
Chiu, Chien‐Ching, et al.. (2018). Beamforming Techniques at Both Transmitter and Receiver for Indoor Wireless Communication. Tamkang University Institutional Repository (TKUIR). 21(3). 407–412. 3 indexed citations
10.
Hsieh, Ching-Tang, et al.. (2015). Optimal MIMO-WLAN Location for Transmitter in Indoor Environment Using Particle Swarm Optimizer. Journal of Applied Science and Engineering. 18(2). 173–176. 1 indexed citations
11.
Chiu, Chien‐Ching, et al.. (2012). Bit Error Rate Reduction by Smart UWB Antenna Array in Indoor Wireless Communication. Journal of Applied Science and Engineering. 15(2). 139–148. 12 indexed citations
12.
Chiu, Chien‐Ching, et al.. (2012). Comparison of Particle Swarm Optimization and Genetic Algorithm for the Path Loss Reduction in an Urban Area. Journal of Applied Science and Engineering. 15(4). 371–380. 17 indexed citations
13.
Chen, Hua‐Pin, et al.. (2011). Channel Capacities of Indoor MIMO-UWB Transmission for Different Material Partitions. Tamkang University Institutional Repository (TKUIR). 14(1). 49–63. 14 indexed citations
14.
Chiu, Chien‐Ching, et al.. (2010). Time Domain Image Reconstruction for Homogenous Dielectric Objects by Dynamic Differential Evolution. Electromagnetics. 30(4). 309–323. 26 indexed citations
15.
Chiu, Chien‐Ching, et al.. (2010). UWB Communication Characteristics for Different Distribution of People and Various Materials of Walls. Journal of Applied Science and Engineering. 13(3). 315–326. 14 indexed citations
16.
Chiu, Chien‐Ching, et al.. (2010). Microwave Imaging of Buried 2D Homogeneous Dielectric Cylinder Using Dynamic Differential Evolution. Lecture notes in computer science. 2181(1). 1306–1308. 1 indexed citations
17.
Chiu, Chien‐Ching, et al.. (2009). Electromagnetic Imaging for Inhomogeneous Dielectric Cylinder Buried in a Slab Medium. Tamkang University Institutional Repository (TKUIR). 12(1). 67–72. 8 indexed citations
18.
Chiu, Chien‐Ching, et al.. (2001). Image Reconstruction of Multiple Conductors. IEICE Transactions on Electronics. 84(7). 961–966. 1 indexed citations
19.
Chiu, Chien‐Ching, et al.. (2001). Image Reconstruction of a Buried Conductor by the Genetic Algorithm(Special Issue on New Technologies in Signal Processing for Electromagnetic-wave Sensing and Imaging). IEICE Transactions on Electronics. 84(12). 1946–1951. 16 indexed citations
20.
Chiu, Chien‐Ching, et al.. (1996). Coverage Prediction in Indoor Wireless Communication (Special Issue on Personal Communications). IEICE Transactions on Communications. 79(9). 1346–1350.

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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