Chun-Yu Chan

767 total citations
10 papers, 611 citations indexed

About

Chun-Yu Chan is a scholar working on Materials Chemistry, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Chun-Yu Chan has authored 10 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 4 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Chun-Yu Chan's work include Advanced biosensing and bioanalysis techniques (4 papers), Graphene research and applications (3 papers) and Carbon and Quantum Dots Applications (2 papers). Chun-Yu Chan is often cited by papers focused on Advanced biosensing and bioanalysis techniques (4 papers), Graphene research and applications (3 papers) and Carbon and Quantum Dots Applications (2 papers). Chun-Yu Chan collaborates with scholars based in Hong Kong, Australia and China. Chun-Yu Chan's co-authors include Mo Yang, Jingyu Shi, Weiwei Ye, Feng Tian, Jing Lyu, Yu Zhang, Ming‐Kiu Tsang, Yi Pan, Xiaoqian Su and Gerile Oudeng and has published in prestigious journals such as Biosensors and Bioelectronics, Sensors and Actuators B Chemical and Solid-State Electronics.

In The Last Decade

Chun-Yu Chan

10 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun-Yu Chan Hong Kong 6 353 340 318 91 50 10 611
Kang Bum Lee South Korea 7 385 1.1× 290 0.9× 290 0.9× 138 1.5× 95 1.9× 7 632
Muhit Rana United States 13 322 0.9× 531 1.6× 318 1.0× 116 1.3× 28 0.6× 19 713
Kwaku Baryeh United States 11 415 1.2× 456 1.3× 125 0.4× 80 0.9× 68 1.4× 11 625
Linqun Zhang China 11 220 0.6× 379 1.1× 240 0.8× 150 1.6× 53 1.1× 15 624
Sanaz Habibi United States 6 309 0.9× 350 1.0× 265 0.8× 76 0.8× 28 0.6× 14 505
Hasan Kurt Türkiye 13 378 1.1× 413 1.2× 227 0.7× 186 2.0× 59 1.2× 46 762
Mingling Dong China 14 466 1.3× 429 1.3× 216 0.7× 79 0.9× 32 0.6× 17 744
Tomáš Juřík Czechia 4 381 1.1× 459 1.4× 163 0.5× 129 1.4× 47 0.9× 4 650
Guobin Mao China 17 344 1.0× 676 2.0× 360 1.1× 125 1.4× 78 1.6× 53 903
Elham Solhi Iran 13 275 0.8× 359 1.1× 132 0.4× 119 1.3× 23 0.5× 13 505

Countries citing papers authored by Chun-Yu Chan

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Yu Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Yu Chan. 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 Chun-Yu Chan. The network helps show where Chun-Yu Chan may publish in the future.

Co-authorship network of co-authors of Chun-Yu Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Yu Chan. A scholar is included among the top collaborators of Chun-Yu Chan 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 Chun-Yu Chan. Chun-Yu Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chan, Chun-Yu & Guey-Yun Chang. (2020). A beam-based eICIC algorithm. 421–427. 1 indexed citations
2.
Zhang, Minjie, et al.. (2018). Enable Automated Emergency Responses Through An Agent-Based Computer-Aided Dispatch System. Adaptive Agents and Multi-Agents Systems. 1844–1846. 1 indexed citations
3.
Chan, Chun-Yu, Jingyu Shi, Yadi Fan, & Mo Yang. (2017). A microfluidic flow-through chip integrated with reduced graphene oxide transistor for influenza virus gene detection. Sensors and Actuators B Chemical. 251. 927–933. 56 indexed citations
4.
Chan, Chun-Yu, Feng Yan, & Mo Yang. (2016). Chemical vapor deposition grown graphene DNA field-effect transistor biosensor with gold nanoparticles signal amplification. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2016. 293. 1 indexed citations
5.
Su, Xiaoqian, Chun-Yu Chan, Jingyu Shi, et al.. (2016). A graphene quantum dot@Fe3O4@SiO2 based nanoprobe for drug delivery sensing and dual-modal fluorescence and MRI imaging in cancer cells. Biosensors and Bioelectronics. 92. 489–495. 142 indexed citations
7.
Chan, Chun-Yu, Jiubiao Guo, Cheng Sun, et al.. (2015). A reduced graphene oxide-Au based electrochemical biosensor for ultrasensitive detection of enzymatic activity of botulinum neurotoxin A. Sensors and Actuators B Chemical. 220. 131–137. 40 indexed citations
8.
Shi, Jingyu, Jiubiao Guo, Gongxun Bai, et al.. (2014). A graphene oxide based fluorescence resonance energy transfer (FRET) biosensor for ultrasensitive detection of botulinum neurotoxin A (BoNT/A) enzymatic activity. Biosensors and Bioelectronics. 65. 238–244. 60 indexed citations
10.
Surya, C., et al.. (1996). Effects of Ar+ back-surface gettering on the properties of flicker noise in n-channel nitrided MOSFETs. Solid-State Electronics. 39(11). 1577–1580. 7 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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