Jun‐Da Chen

504 total citations
43 papers, 378 citations indexed

About

Jun‐Da Chen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Jun‐Da Chen has authored 43 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 8 papers in Biomedical Engineering and 2 papers in Molecular Biology. Recurrent topics in Jun‐Da Chen's work include Radio Frequency Integrated Circuit Design (22 papers), Microwave Engineering and Waveguides (16 papers) and Advancements in PLL and VCO Technologies (8 papers). Jun‐Da Chen is often cited by papers focused on Radio Frequency Integrated Circuit Design (22 papers), Microwave Engineering and Waveguides (16 papers) and Advancements in PLL and VCO Technologies (8 papers). Jun‐Da Chen collaborates with scholars based in Taiwan, China and United States. Jun‐Da Chen's co-authors include Xuefeng Yao, Kiyoshi Takahashi, K. Arakawa, Peng Xu, Wenjun Wang, Kai Zhang, Jian Wang, Hongmei Guo, Ruilin Zhang and Timothy R. Billiar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and IEEE Access.

In The Last Decade

Jun‐Da Chen

36 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Da Chen Taiwan 10 148 56 54 53 43 43 378
Jishun Chen China 14 50 0.3× 199 3.6× 215 4.0× 84 1.6× 123 2.9× 20 588
Xinlin Wang China 11 83 0.6× 13 0.2× 71 1.3× 97 1.8× 26 0.6× 51 382
Adrian Funke Germany 18 79 0.5× 29 0.5× 83 1.5× 100 1.9× 82 1.9× 30 771
Fan‐Fan Wang China 13 36 0.2× 91 1.6× 27 0.5× 112 2.1× 77 1.8× 40 359
Joon Seok Oh South Korea 11 30 0.2× 32 0.6× 170 3.1× 44 0.8× 105 2.4× 30 556
Xun Su China 11 56 0.4× 37 0.7× 95 1.8× 21 0.4× 7 0.2× 47 504
Fouad Kaddah Lebanon 6 44 0.3× 15 0.3× 140 2.6× 37 0.7× 12 0.3× 18 310

Countries citing papers authored by Jun‐Da Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Da Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun‐Da Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Da Chen. A scholar is included among the top collaborators of Jun‐Da 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 Jun‐Da Chen. Jun‐Da 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.
Zhao, Jianing, Hao Li, Tianming Li, et al.. (2025). An Ultrathin Filtering Transmitarray Antenna Based on Machine-Learning-Enabled Phase Synthesis. IEEE Antennas and Wireless Propagation Letters. 24(10). 3336–3340.
2.
Chen, Jun‐Da, et al.. (2025). A high isolation 16–19 GHz down-conversion mixer in 0.18-μm SiGe Bi-CMOS. Integration. 102. 102358–102358.
3.
Liu, Shuting, Jiamei Zhang, Xiaona Ma, et al.. (2025). Acupuncture versus sham acupuncture in the treatment of insomnia for patients with Parkinson’s disease: a randomized controlled clinical trial. BMC Complementary Medicine and Therapies. 25(1). 278–278. 1 indexed citations
4.
Chen, Jun‐Da & Zhixiang Chen. (2025). An Ultrawideband Low‐Voltage High‐Gain Up‐Conversion CMOS Mixer in CMOS 0.18‐μm Technology for 3–16 GHz. International Journal of Circuit Theory and Applications. 53(10). 5595–5604.
5.
Chen, Jun‐Da, et al.. (2024). A Highly Linear, Low Power, Highly Efficient, CMOS Wideband Power Amplifier for 2–5 GHz Wireless Communications. Circuits Systems and Signal Processing. 43(8). 4691–4714. 1 indexed citations
6.
Li, Deqi, Baoqun Li, Shutong Liu, et al.. (2024). Detection of low-power RF signals using active mode-locking based coupled optoelectronic oscillator. Optical Fiber Technology. 89. 104040–104040. 1 indexed citations
7.
Chen, Jun‐Da & Zhixiang Chen. (2023). A 2.8–10-GHz CMOS Current Reuse Cascaded Linearity Improving Ultra-Wideband Low-Noise Amplifier. Circuits Systems and Signal Processing. 42(9). 5091–5107. 3 indexed citations
8.
Hu, Wei, Jun‐Da Chen, Caixia Sun, et al.. (2021). Spatial topological analysis of sympathetic neurovascular characteristic of acupoints in Ren meridian using advanced tissue-clearing and near infrared II imaging. Computational and Structural Biotechnology Journal. 19. 2236–2245. 4 indexed citations
9.
Tan, Jiaxing, et al.. (2021). Predictability of the Oxford classification of IgA nephropathy in Henoch–Schonlein purpura nephritis. International Urology and Nephrology. 54(1). 99–109. 6 indexed citations
10.
Chen, Jun‐Da, et al.. (2020). A Low-Noise and High-Gain Folded Mixer for a UWB System in 0.18-μm SiGe Bi-CMOS Technology. IEEE Transactions on Circuits & Systems II Express Briefs. 68(2). 612–616. 7 indexed citations
11.
Chen, Jun‐Da, et al.. (2017). A 0.7 V 6.66–9.36 GHz wide tuning range CMOS LC VCO with small chip size. International Journal of Electronics. 104(10). 1763–1776. 2 indexed citations
12.
Chen, Jun‐Da, et al.. (2017). A Low-Power, High-Gain, and Low-Noise 802.11a Down-Conversion Mixer in 0.35-μm SiGe Bi-CMOS Technology. Journal of Circuits Systems and Computers. 26(9). 1750134–1750134. 4 indexed citations
13.
Wang, Xiaodong, Chenyang Li, Miaomiao Jiang, et al.. (2016). Induction of apoptosis in human leukemia cells through an intrinsic pathway by cathachunine, a unique alkaloid isolated from Catharanthus roseus. Phytomedicine. 23(6). 641–653. 50 indexed citations
14.
Chen, Jun‐Da, et al.. (2016). A Low-Power and High-Gain Ultra-Wideband Down-Conversion Active Mixer in 0.18- $$\upmu $$ μ m SiGe Bi-CMOS Technology. Circuits Systems and Signal Processing. 36(7). 2635–2653. 11 indexed citations
15.
Li, Dongxiao, Yun Suk Jung, Hong Koo Kim, et al.. (2012). The Effect of Sample Holder Geometry on Electromagnetic Heating of Nanoparticle and NaCl Solutions at 13.56 MHz. IEEE Transactions on Biomedical Engineering. 59(12). 3468–3474. 19 indexed citations
16.
Chen, Jun‐Da. (2010). A low-voltage high-linearity ultra-wideband down-conversion mixer in 0.18-μm CMOS technology. Microelectronics Journal. 42(1). 113–126. 22 indexed citations
17.
Chen, Jun‐Da, et al.. (2008). A 2-GHz Low-Power Down-Conversion Mixer in 0.18- m CMOS Technology. IEICE Transactions on Electronics. E91-C(1). 64–71. 5 indexed citations
18.
Chen, Jun‐Da, et al.. (2006). A low-power and high-linear double-balanced switching mixer. 131–134. 1 indexed citations
19.
Chen, Jun‐Da, et al.. (2006). 2.4 GHz High IIP3 and Low-Noise Down-conversion Mixer. 2. 37–40. 7 indexed citations
20.
Chen, Jun‐Da, et al.. (2005). A low voltage high unity-gain bandwidth CMOS OP-AMP. 1. 45–48. 3 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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