Chia‐Yu Chen

1.5k total citations
54 papers, 744 citations indexed

About

Chia‐Yu Chen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Chia‐Yu Chen has authored 54 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 11 papers in Materials Chemistry and 8 papers in Biomedical Engineering. Recurrent topics in Chia‐Yu Chen's work include Thin-Film Transistor Technologies (11 papers), ZnO doping and properties (9 papers) and Semiconductor materials and devices (7 papers). Chia‐Yu Chen is often cited by papers focused on Thin-Film Transistor Technologies (11 papers), ZnO doping and properties (9 papers) and Semiconductor materials and devices (7 papers). Chia‐Yu Chen collaborates with scholars based in Taiwan, United States and Philippines. Chia‐Yu Chen's co-authors include Jungwook Choi, Ankur Agrawal, Hung‐Che Ting, Ming-Yen Tsai, Te-Chih Chen, Tien‐Yu Hsieh, Ting‐Chang Chang, Swagath Venkataramani, Kailash Gopalakrishnan and Kailash Gopalakrishnan and has published in prestigious journals such as Applied Physics Letters, Clinical Chemistry and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

Chia‐Yu Chen

51 papers receiving 726 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‐Yu Chen Taiwan 14 396 208 131 109 95 54 744
Guangjun Xie China 16 739 1.9× 103 0.5× 113 0.9× 66 0.6× 182 1.9× 141 1.1k
Yudi Zhao China 18 628 1.6× 122 0.6× 89 0.7× 77 0.7× 27 0.3× 59 893
Zhigang Ji China 24 1.6k 4.0× 424 2.0× 109 0.8× 76 0.7× 64 0.7× 226 2.0k
Parviz Keshavarzi Iran 17 428 1.1× 142 0.7× 231 1.8× 146 1.3× 66 0.7× 68 1.0k
Guohe Zhang China 15 447 1.1× 95 0.5× 81 0.6× 125 1.1× 22 0.2× 102 678
Hyun‐Sik Choi South Korea 17 511 1.3× 226 1.1× 132 1.0× 90 0.8× 31 0.3× 55 1.1k
Lingzhi Luo China 16 370 0.9× 263 1.3× 106 0.8× 86 0.8× 37 0.4× 41 787
Jing Su China 15 475 1.2× 179 0.9× 85 0.6× 116 1.1× 33 0.3× 55 742
Zhiyuan Ye China 17 360 0.9× 295 1.4× 113 0.9× 159 1.5× 228 2.4× 75 1.2k
Jaehong Park South Korea 19 529 1.3× 260 1.3× 73 0.6× 36 0.3× 158 1.7× 79 1.0k

Countries citing papers authored by Chia‐Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia‐Yu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Yu Chen. A scholar is included among the top collaborators of Chia‐Yu Chen 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‐Yu Chen. Chia‐Yu Chen 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.
Chen, Chia‐Yu, et al.. (2025). Machine Learning for Detecting Iron Deficiency through Comprehensive Blood Analysis. Clinical Chemistry. 71(9). 949–961.
2.
Chen, Chia‐Yu, Nadaraj Sathishkumar, Hsin‐Tsung Chen, et al.. (2023). Comparative study on the H2S gas-sensing properties of graphene aerogels synthesized through hydrothermal and chemical reduction. Journal of the Taiwan Institute of Chemical Engineers. 154. 105155–105155. 6 indexed citations
3.
Lee, Yu‐Chin, Chia‐Yu Chen, Kuo‐Shen Chen, et al.. (2022). Effective Computational Models for Addressing Asymmetric Warping of Fan-Out Reconstituted Wafer Packaging. 2022 IEEE 72nd Electronic Components and Technology Conference (ECTC). 1068–1073. 3 indexed citations
4.
Chen, Lun-Chi, et al.. (2022). Edge-glued wooden panel defect detection using deep learning. Wood Science and Technology. 56(2). 477–507. 29 indexed citations
5.
Fasoli, Andrea, Chia‐Yu Chen, Maurício Serrano, et al.. (2022). Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. Interspeech 2022. 2038–2042. 3 indexed citations
6.
Chen, Chia‐Yu, Songtao Lu, Xiaodong Cui, et al.. (2021). ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training. arXiv (Cornell University). 33. 13551–13563. 7 indexed citations
7.
Fasoli, Andrea, Chia‐Yu Chen, Maurício Serrano, et al.. (2021). 4-Bit Quantization of LSTM-Based Speech Recognition Models. 2586–2590. 12 indexed citations
8.
Sun, Xiao, Naigang Wang, Chia‐Yu Chen, et al.. (2020). Ultra-Low Precision 4-bit Training of Deep Neural Networks. Neural Information Processing Systems. 33. 1796–1807. 53 indexed citations
9.
Chen, Chia‐Yu & Kyriakos D. Papadopoulos. (2020). Temperature and Salting out Effects on Nicotine Dissolution Kinetics in Saline Solutions. ACS Omega. 5(14). 7738–7744. 4 indexed citations
10.
Chen, Chia‐Yu, Boris Murmann, Jae-sun Seo, & Hoi‐Jun Yoo. (2019). Custom Sub-Systems and Circuits for Deep Learning: Guest Editorial Overview. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9(2). 247–252. 1 indexed citations
11.
Lee, Hao-Ping, et al.. (2019). Does Who Matter?. 1–12. 33 indexed citations
12.
Chen, Chia‐Yu, Jungwook Choi, Kailash Gopalakrishnan, V. Srinivasan, & Swagath Venkataramani. (2018). Exploiting approximate computing for deep learning acceleration. 821–826. 47 indexed citations
13.
Chen, Chia‐Yu, et al.. (2018). Mobilization of n-hexadecane in porous media using food grade amphiphiles. Colloids and Surfaces A Physicochemical and Engineering Aspects. 558. 123–129. 6 indexed citations
14.
Chen, Chia‐Yu, et al.. (2018). A Prefetching Scheme for Multi-Tiered Storage Systems. 1582–1586.
15.
Chen, Chia‐Yu & K. Papadopoulos. (2018). Ethanol's effects on acid neutralization by motor oils. Tribology International. 132. 24–29. 2 indexed citations
16.
Hsieh, Tien‐Yu, Ting‐Chang Chang, Te-Chih Chen, et al.. (2012). Origin of self-heating effect induced asymmetrical degradation behavior in InGaZnO thin-film transistors. Applied Physics Letters. 100(23). 31 indexed citations
17.
Chen, Chia‐Yu, et al.. (2011). Taiwan : The Changing Taiwanese Academic Profession: From regulation to supervision (The Changing Academic Profession in ASIA : Contexts. Realities and Trends : Report of the International Conference on the Changing Academic Profession Project, 2011 : Presentations). 17. 197–212. 1 indexed citations
18.
Chen, Chia‐Yu, et al.. (2009). Linearity Analysis of Lateral Channel Doping in RF Power MOSFETs. IEEE Transactions on Microwave Theory and Techniques. 57(12). 3389–3394. 5 indexed citations
19.
Chen, Chia‐Yu, et al.. (2008). A Multi-Band Current-Reused VCO for 2.5 GHz and 3.4 GHz WiMAX Applications. 236–236. 4 indexed citations
20.
Chen, Chia‐Yu, et al.. (2008). Numerical Study of Flicker Noise in p-Type $ \hbox{Si}_{0.7}\hbox{Ge}_{0.3}/\hbox{Si}$ Heterostructure MOSFETs. IEEE Transactions on Electron Devices. 55(7). 1741–1748. 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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