Argon Chen

947 total citations
57 papers, 703 citations indexed

About

Argon Chen is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Argon Chen has authored 57 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics, Probability and Uncertainty, 15 papers in Industrial and Manufacturing Engineering and 13 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Argon Chen's work include Advanced Statistical Process Monitoring (13 papers), Thyroid Cancer Diagnosis and Treatment (13 papers) and Manufacturing Process and Optimization (9 papers). Argon Chen is often cited by papers focused on Advanced Statistical Process Monitoring (13 papers), Thyroid Cancer Diagnosis and Treatment (13 papers) and Manufacturing Process and Optimization (9 papers). Argon Chen collaborates with scholars based in Taiwan, United States and Australia. Argon Chen's co-authors include Elsayed A. Elsayed, Kuan-Yuan Chen, Chiung‐Nien Chen, Ming‐Hsun Wu, Jakey Blue, Ming‐Chih Ho, Chun‐Hung Chen, King‐Jen Chang, Hao‐Chih Tai and Ting‐Chun Kuo and has published in prestigious journals such as Technometrics, Scientific Reports and IEEE Transactions on Power Systems.

In The Last Decade

Argon Chen

56 papers receiving 673 citations

Peers

Argon Chen
Comparison fields: 5 of 93
  • Statistics, Probability and Uncertainty 176
  • Endocrinology, Diabetes and Metabolism 173
  • Management Science and Operations Research 169
  • Industrial and Manufacturing Engineering 157
  • Surgery 87
Replace Georg Großmann with:
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Jeffrey A. Jones United Kingdom
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Georg Großmann Australia View profile →
Citations per field, relative to Argon Chen
Argon Chen · 1×
Citations per year, relative to Argon Chen
Argon Chen · 1×

Countries citing papers authored by Argon Chen

Since Specialization
Citations

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

Fields of papers citing papers by Argon Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Argon Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Argon Chen. A scholar is included among the top collaborators of Argon Chen 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 Argon Chen. Argon Chen 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
# Work Indexed citations
1 4
2 1
3 2
4 4
5 1
6 4
7 3
8 32
9 24
10 22
11 2
12 24
13 1
14 39
15 51
16 14
17 15
18 1
19 5
20 143

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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