Jiao Gu

713 total citations
51 papers, 517 citations indexed

About

Jiao Gu is a scholar working on Materials Chemistry, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jiao Gu has authored 51 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 20 papers in Molecular Biology and 10 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jiao Gu's work include Advanced biosensing and bioanalysis techniques (15 papers), Carbon and Quantum Dots Applications (15 papers) and Nanocluster Synthesis and Applications (11 papers). Jiao Gu is often cited by papers focused on Advanced biosensing and bioanalysis techniques (15 papers), Carbon and Quantum Dots Applications (15 papers) and Nanocluster Synthesis and Applications (11 papers). Jiao Gu collaborates with scholars based in China, Germany and United Kingdom. Jiao Gu's co-authors include Chaoqun Ma, Guoqing Chen, Chun Zhu, Hui Gao, Zichen Yang, Yamin Wu, Taiqun Yang, Zirui Wang, Shiping Liu and Anqi Hu and has published in prestigious journals such as Food Chemistry, Chemical Physics Letters and Sensors.

In The Last Decade

Jiao Gu

49 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiao Gu China 14 232 165 149 91 76 51 517
Qiong Shi China 12 117 0.5× 108 0.7× 97 0.7× 48 0.5× 79 1.0× 26 354
Yamin Wu China 11 179 0.8× 97 0.6× 64 0.4× 37 0.4× 27 0.4× 53 335
Grace Lu United States 10 188 0.8× 197 1.2× 146 1.0× 116 1.3× 42 0.6× 11 563
Wen‐Tsen Chen Taiwan 10 157 0.7× 192 1.2× 113 0.8× 46 0.5× 137 1.8× 14 568
Dongxia Chen China 13 447 1.9× 196 1.2× 103 0.7× 44 0.5× 8 0.1× 30 750
Youqiu He China 19 528 2.3× 460 2.8× 117 0.8× 47 0.5× 47 0.6× 43 773
Chunhao Yuan China 25 115 0.5× 141 0.9× 95 0.6× 63 0.7× 35 0.5× 66 1.7k
Nader Shokoufi Iran 12 56 0.2× 50 0.3× 126 0.8× 28 0.3× 320 4.2× 33 526
Raylene Dyson Australia 11 150 0.6× 90 0.5× 67 0.4× 148 1.6× 216 2.8× 13 594
Min‐Jeong Lee South Korea 15 395 1.7× 51 0.3× 66 0.4× 29 0.3× 124 1.6× 37 640

Countries citing papers authored by Jiao Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jiao Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiao Gu. 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 Jiao Gu. The network helps show where Jiao Gu may publish in the future.

Co-authorship network of co-authors of Jiao Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiao Gu. A scholar is included among the top collaborators of Jiao Gu 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 Jiao Gu. Jiao Gu 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.
Hu, Anqi, Chaoqun Ma, Jiao Gu, et al.. (2025). The SERS method based on the COF-ag substrate, combined with machine learning, is used for the detection of tetracycline and oxytetracycline in milk.. Food Chemistry. 496(Pt 2). 146747–146747. 1 indexed citations
2.
Hu, Anqi, Chaoqun Ma, Jiao Gu, et al.. (2025). Sulfadiazine Detection in Milk Using F−-modified Ag-TpBD-COF as SERS Substrate. Food Analytical Methods. 18(10). 2165–2174.
3.
Zhou, Yan, Guoqing Chen, Chaoqun Ma, et al.. (2024). Carbon quantum dots as a turn-on fluorescent probe for the sensitive detection of Cd2+. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 317. 124453–124453. 11 indexed citations
4.
Li, Xin, Guoqing Chen, Anqi Hu, et al.. (2024). Non-enzymatic Detection of Uric Acid in Serum and Urine by Fluorescent and Visual Dual-Mode Sensor Based on 3-aminophenylboric Acid Functionalized Carbon Dots. Journal of Fluorescence. 35(4). 2309–2320. 4 indexed citations
5.
Yang, Dong, Chaoqun Ma, Guoqing Chen, et al.. (2024). Investigation of the Application and Mechanism of Nitrogen and Phosphorus Co-doped Carbon Dots for Mercury Ion Detection. Journal of Fluorescence. 35(2). 1181–1189. 4 indexed citations
6.
Ma, Chaoqun, Guoqing Chen, Jiao Gu, et al.. (2024). Nitrogen and Sulfur co-doped Carbon dots as an “on-off-on” Fluorescent Sensor for the Detection of Hg2+ and Ampicillin. Journal of Fluorescence. 35(3). 1807–1817. 3 indexed citations
7.
Hu, Anqi, Guoqing Chen, Taiqun Yang, et al.. (2023). o-phenylenediamine Derived Fluorescent Carbon Quantum dots for Detection of Hg(II) in Environmental Water. Journal of Fluorescence. 34(2). 905–913. 12 indexed citations
8.
Chen, Guoqing, Taiqun Yang, Chaoqun Ma, et al.. (2023). SERS Substrate Based on Cysteamine-Modified Silver Nanoparticles for Rapid Detection of Amaranth Red. Plasmonics. 18(6). 2059–2068. 2 indexed citations
9.
Chen, Guoqing, Taiqun Yang, Jiao Gu, et al.. (2023). Al2O3@Ag composite structure as SERS substrate for sensitive detection of sodium thiocyanate. Analytical Sciences. 39(4). 557–564. 1 indexed citations
10.
Yang, Zichen, Chaoqun Ma, Jiao Gu, et al.. (2022). Detection of melamine by using carboxyl-functionalized Ag-COF as a novel SERS substrate. Food Chemistry. 401. 134078–134078. 42 indexed citations
11.
Shen, Jialu, Guoqing Chen, Zichen Yang, et al.. (2022). Boric acid-functionalized silver nanoparticles as SERS substrate for sensitive and rapid detection of fructose in artificial urine. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 288. 122179–122179. 12 indexed citations
12.
Hu, Anqi, Guoqing Chen, Taiqun Yang, et al.. (2022). A fluorescent probe based on FRET effect between carbon nanodots and gold nanoparticles for sensitive detection of thiourea. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 281. 121582–121582. 12 indexed citations
13.
Gu, Jiao, Taiqun Yang, Chaoqun Ma, et al.. (2022). Sensitive determination of Norfloxacin in milk based on β-cyclodextrin functionalized silver nanoparticles SERS substrate. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 276. 121212–121212. 24 indexed citations
14.
Zhu, Chun, Guoqing Chen, Jiao Gu, et al.. (2022). A theoretical study on intermolecular hydrogen bonds of isopropanol-water clusters. Theoretical Chemistry Accounts. 141(1). 3 indexed citations
15.
Ma, Chaoqun, et al.. (2021). Detection of Melamine Based on the Fluorescence Changes of Nitrogen-Doped Carbon Dots. Journal of Spectroscopy. 2021. 1–9. 8 indexed citations
16.
Yang, Zichen, Chaoqun Ma, Jiao Gu, et al.. (2021). SERS Detection of Benzoic Acid in Milk by Using Ag-COF SERS Substrate. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 267(Pt 2). 120534–120534. 37 indexed citations
17.
Wang, Zirui, Chaoqun Ma, Yamin Wu, et al.. (2021). A sensitive method for detecting sodium thiocyanate using AgNPs and MIL-101(Fe) combined as SERS substrate. Vibrational Spectroscopy. 117. 103311–103311. 6 indexed citations
18.
Wang, Chengwei, Lei Li, Yamin Wu, et al.. (2021). Highly Photoluminescent Carbon Dots with pH-Dependent Switchable Fluorescence and Sensitivity to Tetracycline. NANO. 16(3). 2150036–2150036. 3 indexed citations
19.
Gu, Jiao, et al.. (2019). Cu doped ε-Fe2–3N films with manipulable magnetic and transport properties. Materials Letters. 250. 131–134. 4 indexed citations
20.
Gu, Jiao, et al.. (2011). Modeling of epidemic spreading with white Gaussian noise. Chinese Science Bulletin. 56(34). 3683–3688. 10 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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