Jung-Chih Chen

790 total citations
43 papers, 588 citations indexed

About

Jung-Chih Chen is a scholar working on Biomedical Engineering, Molecular Biology and Bioengineering. According to data from OpenAlex, Jung-Chih Chen has authored 43 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 12 papers in Molecular Biology and 10 papers in Bioengineering. Recurrent topics in Jung-Chih Chen's work include Analytical Chemistry and Sensors (10 papers), Electrochemical Analysis and Applications (8 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Jung-Chih Chen is often cited by papers focused on Analytical Chemistry and Sensors (10 papers), Electrochemical Analysis and Applications (8 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Jung-Chih Chen collaborates with scholars based in Taiwan, United Kingdom and China. Jung-Chih Chen's co-authors include Feng‐Huei Lin, Ching‐Li Tseng, Subramaniam Sadhasivam, Yu‐Lin Wang, Kai‐Chiang Yang, Chengwei Li, Shang‐Ting Tsai, Mosa Alsehli, Wenliang Chen and Tsung‐Han Lee and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Jung-Chih Chen

40 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung-Chih Chen Taiwan 13 259 232 107 101 75 43 588
Sattar Akbari Nakhjavani Iran 16 379 1.5× 361 1.6× 99 0.9× 126 1.2× 143 1.9× 23 674
Birendra Kumar Yadav India 12 296 1.1× 381 1.6× 106 1.0× 239 2.4× 24 0.3× 39 674
Wanqing Yue China 20 440 1.7× 306 1.3× 243 2.3× 214 2.1× 146 1.9× 43 864
Samuel S. Hinman United States 14 355 1.4× 323 1.4× 84 0.8× 88 0.9× 27 0.4× 22 652
Wenyue Xie China 17 252 1.0× 296 1.3× 160 1.5× 91 0.9× 70 0.9× 41 747
Junjie Liu China 16 246 0.9× 374 1.6× 211 2.0× 130 1.3× 41 0.5× 45 725
Katarzyna Ratajczak Poland 10 238 0.9× 335 1.4× 92 0.9× 60 0.6× 43 0.6× 15 532
Zhiyong Qian China 16 199 0.8× 137 0.6× 91 0.9× 65 0.6× 115 1.5× 36 519
Shuaijian Ni China 10 266 1.0× 789 3.4× 85 0.8× 58 0.6× 78 1.0× 15 972
Esther Sánchez‐Tirado Spain 15 309 1.2× 443 1.9× 80 0.7× 212 2.1× 11 0.1× 28 687

Countries citing papers authored by Jung-Chih Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jung-Chih Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung-Chih 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 Jung-Chih Chen. The network helps show where Jung-Chih Chen may publish in the future.

Co-authorship network of co-authors of Jung-Chih Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jung-Chih Chen. A scholar is included among the top collaborators of Jung-Chih 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 Jung-Chih Chen. Jung-Chih 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, Jung-Chih, et al.. (2025). High sensitivity mercury ion detection via thermal shock and quench with molecular sieve-functionalized FETs. Chemical Engineering Journal. 513. 163098–163098. 1 indexed citations
2.
Wang, Ching-Ping, et al.. (2025). Boosting predictive accuracy in tumor cellularity evaluation with AI-powered ensemble methods. Health and Technology. 15(3). 577–587.
3.
Sakthivel, Rajalakshmi, Lu‐Yin Lin, Yeh‐Fang Duann, et al.. (2024). The synergy of gadolinium vanadate/acid functionalized carbon nanofiber for effective determination of anti-psychotic drug chlorpromazine hydrochloride in human serum sample. Microchemical Journal. 200. 110336–110336. 2 indexed citations
4.
Chen, Jung-Chih, et al.. (2024). Design and demonstration of a temperature-resistant aptamer structure for highly sensitive mercury ion detection with BioFETs. Talanta. 283. 127138–127138. 4 indexed citations
5.
6.
Cheng, Yuying, Zong‐Hong Lin, Jung-Chih Chen, et al.. (2023). Mercury Ion Sensing Using Aptamer-Modified Extended Gate Field-Effect Transistors and a Handheld Device. ECS Journal of Solid State Science and Technology. 12(7). 77005–77005. 2 indexed citations
7.
Prasanna, Sanjay Ballur, Rajalakshmi Sakthivel, Santhosh Arehalli Shivamurthy, et al.. (2023). Catalytic degradation of tetracycline using marigold flower-like structure erbium molybdate decorated on sulphur-doped g-C3N4 nanocomposite: Kinetics, thermodynamics, DFT calculations, and toxicity studies. Separation and Purification Technology. 330. 125439–125439. 24 indexed citations
8.
Wu, Yudan, et al.. (2022). Using convolutional neural network to analyze brain MRI images for predicting functional outcomes of stroke. Medical & Biological Engineering & Computing. 60(10). 2841–2849. 10 indexed citations
9.
Huang, Chih‐Cheng, Po-Hsuan Chen, Adarsh Tripathi, et al.. (2021). Rapid Drug-Screening Platform Using Field-Effect Transistor-Based Biosensors: A Study of Extracellular Drug Effects on Transmembrane Potentials. Analytical Chemistry. 94(6). 2679–2685. 7 indexed citations
10.
Tripathi, Adarsh, et al.. (2021). High-Sensitivity and Trace-Amount Specimen Electrochemical Sensors for Exploring the Levels of β-Amyloid in Human Blood and Tears. Analytical Chemistry. 93(22). 8099–8106. 29 indexed citations
11.
12.
Wang, Yu‐Lin, et al.. (2020). Rapid and Highly Sensitive Extended Gate FET-Based Sensors for Arsenite Detection Using a Handheld Device. ECS Journal of Solid State Science and Technology. 9(11). 115014–115014. 12 indexed citations
13.
Chen, Jung-Chih, Gin-Shin Chen, Ching‐Yun Chen, et al.. (2020). Enhancement of Neurite Outgrowth by Warming Biomaterial Ultrasound Treatment. International Journal of Molecular Sciences. 21(6). 2236–2236. 1 indexed citations
14.
Ali, Imran, Mosa Alsehli, Luciana Scotti, et al.. (2020). Progress in Polymeric Nano-Medicines for Theranostic Cancer Treatment. Polymers. 12(3). 598–598. 86 indexed citations
15.
Chen, Po-Hsuan, et al.. (2020). Monitoring of Retinoic Acid Uptake into H9c2 Cells Using Electric-Double-Layer (EDL) Gated Field-Effect Transistors. ECS Journal of Solid State Science and Technology. 9(11). 115017–115017. 4 indexed citations
16.
Chen, Jung-Chih, et al.. (2020). Highly Sensitive Lead Ion Detection in One Drop of Human Whole Blood Using Impedance-Modulated Field-Effect Transistors and a Portable Measurement Device. ECS Journal of Solid State Science and Technology. 9(5). 55020–55020. 5 indexed citations
17.
Li, Chengwei, et al.. (2020). Improving the reproducibility, accuracy, and stability of an electrochemical biosensor platform for point-of-care use. Biosensors and Bioelectronics. 155. 112111–112111. 108 indexed citations
18.
Chen, Jung-Chih, et al.. (2017). A feasibility study on non-invasive oxidative metabolism detection and acoustic assessment of human vocal cords by using optical technique. Scientific Reports. 7(1). 17002–17002. 6 indexed citations
19.
Liao, Yu‐Te, et al.. (2015). Fabrication of inorganic hydroxyapatite nanoparticles and organic biomolecules-dual encapsulated alginate microspheres. Biointerphases. 10(2). 21005–21005. 7 indexed citations
20.
Chen, Jung-Chih & Hang–Chin Lai. (2002). Optimization analysis involving set functions.. 2. 78–97. 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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