Chia‐Hsiang Yang

1.8k total citations
113 papers, 1.2k citations indexed

About

Chia‐Hsiang Yang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chia‐Hsiang Yang has authored 113 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Electrical and Electronic Engineering, 24 papers in Artificial Intelligence and 23 papers in Computer Networks and Communications. Recurrent topics in Chia‐Hsiang Yang's work include Advanced Wireless Communication Techniques (23 papers), Advanced Memory and Neural Computing (15 papers) and Error Correcting Code Techniques (15 papers). Chia‐Hsiang Yang is often cited by papers focused on Advanced Wireless Communication Techniques (23 papers), Advanced Memory and Neural Computing (15 papers) and Error Correcting Code Techniques (15 papers). Chia‐Hsiang Yang collaborates with scholars based in Taiwan, United States and Germany. Chia‐Hsiang Yang's co-authors include Dejan Marković, Yeong-Luh Ueng, Herming Chiueh, Tsan-Jieh Chen, Kai‐Chieh Chang, Horng‐Huei Liou, Jui‐Hung Hung, Sheng‐Fu Liang, Wei‐Ming Chen and Yulin Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Chia‐Hsiang Yang

100 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia‐Hsiang Yang Taiwan 19 713 267 255 251 243 113 1.2k
Mika Laiho Finland 16 1.0k 1.4× 164 0.6× 142 0.6× 211 0.8× 468 1.9× 118 1.2k
C. Diorio United States 23 1.3k 1.9× 635 2.4× 297 1.2× 60 0.2× 374 1.5× 63 1.9k
Manuel Delgado‐Restituto Spain 17 721 1.0× 433 1.6× 162 0.6× 177 0.7× 265 1.1× 128 1.2k
Hen‐Wai Tsao Taiwan 24 1.6k 2.2× 1.2k 4.4× 144 0.6× 174 0.7× 297 1.2× 193 2.1k
G. Ray India 19 435 0.6× 99 0.4× 268 1.1× 284 1.1× 127 0.5× 62 1.2k
Zhu Liang Yu China 27 489 0.7× 218 0.8× 529 2.1× 56 0.2× 196 0.8× 115 2.1k
Ricardo Carmona‐Galán Spain 18 964 1.4× 189 0.7× 129 0.5× 454 1.8× 135 0.6× 162 1.5k
Mounir Samet Tunisia 14 220 0.3× 159 0.6× 346 1.4× 66 0.3× 48 0.2× 82 896
Alexandre Schmid Switzerland 19 952 1.3× 554 2.1× 259 1.0× 46 0.2× 461 1.9× 168 1.5k
C. Sánchez‐López Mexico 22 978 1.4× 379 1.4× 158 0.6× 409 1.6× 306 1.3× 105 1.7k

Countries citing papers authored by Chia‐Hsiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Hsiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Hsiang Yang. 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 Chia‐Hsiang Yang. The network helps show where Chia‐Hsiang Yang may publish in the future.

Co-authorship network of co-authors of Chia‐Hsiang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Hsiang Yang. A scholar is included among the top collaborators of Chia‐Hsiang Yang 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 Chia‐Hsiang Yang. Chia‐Hsiang Yang 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
3.
Chen, Liangyu, et al.. (2025). A Diffusion-Model-Based Methodology for Virtual Silicon Data Generation. IEEE Transactions on Semiconductor Manufacturing. 38(2). 146–153.
4.
Lee, Tang, Tingyang Chen, I‐Hsuan Liu, & Chia‐Hsiang Yang. (2025). A 40-nm 131-mW 6.4-Gb/s 256 × 32 Multi-User MIMO OTFS Detector for Next-Gen Communication Systems. IEEE Journal of Solid-State Circuits. 60(9). 3428–3441.
5.
Lo, Yu‐Chen, et al.. (2024). A 44.3-mW 62.4-fps Hyperspectral Image Processor for Spectral Unmixing in MAV Remote Sensing. IEEE Journal of Solid-State Circuits. 60(5). 1818–1829. 1 indexed citations
6.
Chen, Yen‐Lung, et al.. (2023). An FM-Index Based High-Throughput Memory-Efficient FPGA Accelerator for Paired-End Short-Read Mapping. IEEE Transactions on Biomedical Circuits and Systems. 17(6). 1331–1341. 3 indexed citations
7.
Chen, Yen‐Lung, et al.. (2023). A 28.8-mW Accelerator IC for Dark Channel Prior-Based Blind Image Deblurring. IEEE Journal of Solid-State Circuits. 59(6). 1899–1911.
8.
Lee, Yu‐Chi, et al.. (2022). A 40-nm 646.6TOPS/W Sparsity-Scaling DNN Processor for On-Device Training. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). 40–41. 8 indexed citations
9.
Yang, Chia‐Hsiang, et al.. (2022). An Energy-Efficient Double Ratchet Cryptographic Processor With Backward Secrecy for IoT Devices. IEEE Journal of Solid-State Circuits. 58(6). 1810–1819. 4 indexed citations
10.
Lee, Pei‐Lin, et al.. (2022). Achieving Accurate Automatic Sleep Apnea/Hypopnea Syndrome Assessment Using Nasal Pressure Signal. IEEE Journal of Biomedical and Health Informatics. 26(11). 5473–5481. 6 indexed citations
11.
Yang, Chia‐Hsiang, et al.. (2021). Design of a Bone-Guided Cochlear Implant Microsystem With Monopolar Biphasic Multiple Stimulations and Evoked Compound Action Potential Acquisition and Its In Vivo Verification. IEEE Journal of Solid-State Circuits. 56(10). 3062–3076. 29 indexed citations
12.
Chen, Chiao-En, et al.. (2021). Hybrid Precoding Baseband Processor for 64 × 64 Millimeter Wave MIMO Systems. IEEE Transactions on Circuits and Systems I Regular Papers. 69(4). 1765–1773. 4 indexed citations
13.
Chi, Tai-Shih, et al.. (2020). A 2.17-mW Acoustic DSP Processor With CNN-FFT Accelerators for Intelligent Hearing Assistive Devices. IEEE Journal of Solid-State Circuits. 55(8). 2247–2258. 19 indexed citations
14.
Chiueh, Herming, et al.. (2020). A 1.5 mW Programmable Acoustic Signal Processor for Hearing Assistive Devices With Speech Intelligibility Enhancement. IEEE Transactions on Circuits and Systems I Regular Papers. 67(12). 4984–4993. 7 indexed citations
15.
Chen, Yen‐Lung, et al.. (2020). A 975-mW Fully Integrated Genetic Variant Discovery System-on-Chip in 28 nm for Next-Generation Sequencing. IEEE Journal of Solid-State Circuits. 56(1). 123–135. 7 indexed citations
16.
Wang, Peiyu, et al.. (2020). Digital Logic and Asynchronous Datapath With Heterogeneous TFET-MOSFET Structure for Ultralow-Energy Electronics. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 6(2). 130–137. 4 indexed citations
17.
Yang, Chia‐Hsiang, et al.. (2019). Iterative Inter-Cell Interference Cancellation Receiver for LDPC-Coded MIMO Systems. IEEE Transactions on Signal Processing. 67(6). 1636–1647. 2 indexed citations
18.
Tsai, Tsung‐Lin, et al.. (2018). An Integrated Message-Passing Detector and Decoder for Polar-Coded Massive MU-MIMO Systems. IEEE Transactions on Circuits and Systems I Regular Papers. 66(3). 1205–1218. 26 indexed citations
19.
Chen, Tsan-Jieh, et al.. (2012). Hardware-efficient EVD processor architecture in FastICA for epileptic seizure detection. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4. 5 indexed citations
20.
Ni, Wei-Tou, et al.. (1978). An Experimental Determination of the Gravitational Constant at Distances Around Ten Meters. Chinese Journal of Physics. 16(4). 201–212. 1 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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