Yan Jun Ju

957 citations
16 papers · 864 indexed · h-index 14

Impact in

    • Carbon and Quantum Dots Applications
    • Advanced Nanomaterials in Catalysis
    • Nanocluster Synthesis and Applications
    • Luminescence and Fluorescent Materials
    • Molecular Sensors and Ion Detection

Papers in

    • Carbon and Quantum Dots Applications 11
    • Nanocluster Synthesis and Applications 9
    • Advanced Nanomaterials in Catalysis 8
    • Luminescence and Fluorescent Materials 2

Yan Jun Ju

16 papers receiving 854 citations

Peers

Yan Jun Ju
Comparison fields: 5 of 57
  • Materials Chemistry 716
  • Spectroscopy 148
  • Electrochemistry 49
  • Bioengineering 33
  • Molecular Biology 325
Replace Fangkai Du with:
Fangkai Du China
Wen-Lian Cai China
Zhi-Yong Zheng China
Dechao Shi China
Chanjiao Ma China
Tancheng Zheng China
Guojuan Ren China
Xinyi Zhao China
Yan Jun Ju relative to Fangkai Du China Fangkai Du's profile →
Citations per field
00.5×1.5×1.8×
Fangkai Du · 1×
Citations per year

Countries citing papers authored by Yan Jun Ju

Since Specialization
Citations

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

Fields of papers citing papers by Yan Jun Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Jun Ju. 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 Yan Jun Ju. The network helps show where Yan Jun Ju may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yan Jun Ju, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yan Jun Ju Line = papers co-authored together Yan Jun Ju links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20253
2 201942
3 201938
4 201947
5 201921
6
A fluorescence and colorimetric dual-mode assay of alkaline phosphatase activity via destroying oxidase-like CoOOH nanoflakes
20184
7 201875
8 2018102
9 201877
10 2018127
11 201814
12 2018160
13 201845
14 201822
15 201867
16 201520

About Yan Jun Ju

Yan Jun Ju is a scholar working on Materials Chemistry, Bioengineering, Electrochemistry, Health, Toxicology and Mutagenesis and Spectroscopy, having authored 16 papers that have together received 864 indexed citations. Recurring topics across this work include Carbon and Quantum Dots Applications (11 papers), Nanocluster Synthesis and Applications (9 papers), Advanced Nanomaterials in Catalysis (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Electrochemical sensors and biosensors (4 papers), Molecular Sensors and Ion Detection (2 papers), Luminescence and Fluorescent Materials (2 papers) and Mercury impact and mitigation studies (2 papers). The work is most often cited by research in Materials Chemistry (716 citations), Spectroscopy (148 citations), Electrochemistry (49 citations), Bioengineering (33 citations) and Molecular Biology (325 citations). Yan Jun Ju has collaborated with scholars based in China, Bangladesh and Hong Kong. Frequent co-authors include Shi Gang Liu, Hong Qun Luo, Nian Bing Li, Lei Han, Na Li, Jia Yu Liang, Yu Zhu Fan, Na Xiao, Na Xiao and Shi Mo. Their work appears in journals such as Sensors and Actuators B Chemical, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Analytical and Bioanalytical Chemistry, Journal of Materials Chemistry B and Talanta.

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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