William Chen

1.4k citations
30 papers · 1.0k · h-index 14

Impact in

Papers in

William Chen

28 papers receiving 977 citations

Peers

William Chen
Comparison fields: 5 of 122
  • Family Practice 68
  • Condensed Matter Physics 285
  • Infectious Diseases 133
  • Geriatrics and Gerontology 24
  • Public Health, Environmental and Occupational Health 156
Replace Julian T. Hertz with:
Julian T. Hertz United States
Timo Hakkarainen Finland
John Bell United States
Sang Il Kim South Korea
Nina E. Glass United States
Dominic Lee United States
Thomas R. Fanning United States
Pedro David Wendel‐Garcia Switzerland
Peter Clausen Denmark
Alan J. Collins United States
William Chen relative to Julian T. Hertz United States Julian T. Hertz's profile →
Citations per field
00.5×9.5×
Julian T. Hertz · 1×
Citations per year

Countries citing papers authored by William Chen

Since Specialization
Citations

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

Fields of papers citing papers by William Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013296
2 2007134
3 1990108
4 199174
5 202174
6 201261
7 198950
8 199031
9 202228
10 201024
11 201121
12 199120
13 202315
14 201715
15 202313
16 202410
17 20148
18 20157
19 19905
20 20165

About William Chen

William Chen is a scholar working on Electrical and Electronic Engineering, Infectious Diseases, Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Molecular Biology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (6 papers), Physics of Superconductivity and Magnetism (6 papers), Viral gastroenteritis research and epidemiology (3 papers), 3D IC and TSV technologies (3 papers), Magnetic properties of thin films (3 papers), COVID-19 epidemiological studies (2 papers), Machine Fault Diagnosis Techniques (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Family Practice (68 citations), Condensed Matter Physics (285 citations), Infectious Diseases (133 citations), Geriatrics and Gerontology (24 citations) and Public Health, Environmental and Occupational Health (156 citations). William Chen has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Paul J. McGinn, Robert R. Verbrugge, Kyle Bibby, Donald G. Pittman, Naiping Zhu, Michael T. Lanagan, U. Balachandràn, Richard D. Kelly, Keith Campbell and Ji‐Hyun Lee. Their work appears in journals such as Physica C Superconductivity, The Science of The Total Environment, Applied Physics Letters, ACS ES&T Water and Theriogenology.

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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