Wei‐Ju Chen

1.6k citations
95 papers · 1.1k · h-index 19

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 6
    • Influenza Virus Research Studies 11
    • Respiratory viral infections research 5

Wei‐Ju Chen

86 papers receiving 1.1k citations

Peers

Wei‐Ju Chen
Comparison fields: 5 of 129
  • Infectious Diseases 158
  • Critical Care and Intensive Care Medicine 26
  • Epidemiology 159
  • Modeling and Simulation 23
  • Cognitive Neuroscience 78
Replace Lina Jiang with:
Lina Jiang China
Mehrzad Lotfi Iran
Nan Yang China
Yinghui Jin China
Attila Nagy Hungary
Rhonda Roberts United States
Fan Gao China
Terry B. White United States
Rahul Singh India
Eileen Wang United States
Wei‐Ju Chen relative to Lina Jiang China Lina Jiang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wei‐Ju Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Ju Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Ju 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 Wei‐Ju Chen. The network helps show where Wei‐Ju Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Wei‐Ju Chen, 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 Wei‐Ju Chen Line = papers co-authored together Wei‐Ju Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005107
2 201871
3 201560
4 201954
5 201552
6 201645
7 201639
8
Web-based telemedicine for management of type 2 diabetes through glucose uploads: a randomized controlled trial.
201436
9 200733
10 201730
11 202127
12 200926
13 201923
14 201723
15 201723
16 200922
17 202420
18 200920
19 202119
20 201818

About Wei‐Ju Chen

Wei‐Ju Chen is a scholar working on Molecular Biology, Epidemiology, Clinical Psychology, Cognitive Neuroscience and Genetics, having authored 95 papers that have together received 1.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Autism Spectrum Disorder Research (9 papers), Family and Disability Support Research (9 papers), Advanced biosensing and bioanalysis techniques (6 papers), Respiratory viral infections research (5 papers), Prenatal Screening and Diagnostics (5 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Advanced Nanomaterials in Catalysis (4 papers). The work is most often cited by research in Infectious Diseases (158 citations), Critical Care and Intensive Care Medicine (26 citations), Epidemiology (159 citations), Modeling and Simulation (23 citations) and Cognitive Neuroscience (78 citations). Wei‐Ju Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Lei‐Shih Chen, Ronghua Yang, Jing Zheng, Eugene V. Millar, Zhihe Qing, Patrick Danaher, Timothy Burgess, Mary Fairchok, Michelande Ridoré and John Arnold. Their work appears in journals such as Open Forum Infectious Diseases, International Journal of Environmental Research and Public Health, Obesity Surgery, Cells and Analytical Chemistry.

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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