Jun Jack Hu

606 citations
33 papers · 522 · h-index 12

Impact in

    • Electrochemical Analysis and Applications
  • Spectroscopy top 10%
    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography

Papers in

    • Mass Spectrometry Techniques and Applications 9
    • Analytical Chemistry and Chromatography 4
    • Electrochemical Analysis and Applications 4

Jun Jack Hu

31 papers receiving 479 citations

Peers

Jun Jack Hu
Comparison fields: 5 of 70
  • Electrochemistry 107
  • Spectroscopy 139
  • Bioengineering 24
  • Analytical Chemistry 34
  • Biomedical Engineering 153
Replace Kaixia Xiao with:
Kaixia Xiao China
Nikhil Maroli India
Yawei Lin China
Shuangjiao Sun China
Jie Bai China
Tomonori Konse Japan
Baoxian Ye China
Junyan Zhan China
Qing‐Zhi Zhu China
Jeffrey A. Purslow United States
Jun Jack Hu relative to Kaixia Xiao China Kaixia Xiao's profile →
Citations per field
00.5×2×2.8×
Kaixia Xiao · 1×
Citations per year

Countries citing papers authored by Jun Jack Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jack Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Jack Hu, 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 Jun Jack Hu Line = papers co-authored together Jun Jack Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001102
2 202083
3 202145
4 202344
5 202132
6 201628
7 200128
8 202218
9 202216
10 199714
11 202014
12 200212
13 202210
14 199710
15 20189
16 20178
17 20156
18 20206
19 20216
20 20235

About Jun Jack Hu

Jun Jack Hu is a scholar working on Spectroscopy, Electrochemistry, Bioengineering, Complementary and alternative medicine and Molecular Biology, having authored 33 papers that have together received 522 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (9 papers), Analytical Chemistry and Chromatography (4 papers), Electrochemical Analysis and Applications (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Advanced Chemical Sensor Technologies (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Electrochemistry (107 citations), Spectroscopy (139 citations), Bioengineering (24 citations), Analytical Chemistry (34 citations) and Biomedical Engineering (153 citations). Jun Jack Hu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Hong‐Yuan Chen, Jing‐Juan Xu, Yun Chen, Fang Liu, James K. Whitesell, Kevin W. Kittredge, Jian Zhang, Marye Anne Fox, Panke Zhang and Xing‐Hua Xia. Their work appears in journals such as Analytical Chemistry, Chemical Communications, Analytical Letters, Talanta and Angewandte Chemie International Edition.

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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