Argon Chen

59 papers receiving 738 citations

Peers

Argon Chen
Comparison fields: 5 of 93
  • Statistics, Probability and Uncertainty 193
  • Industrial and Manufacturing Engineering 165
  • Management Science and Operations Research 180
  • Endocrinology, Diabetes and Metabolism 182
  • Medical Laboratory Technology 14
Replace Afshin Jamshidi with:
Afshin Jamshidi Canada
Young Myoung Ko South Korea
Leonardo Bottaci United Kingdom
Linhan Ouyang China
Soo Young Chang South Korea
Amik Garg India
Elias Zafiropoulos Greece
Zheng Zhu China
Jianwei Chen China
Alican Doğan Türkiye
Argon Chen relative to Afshin Jamshidi Canada Afshin Jamshidi's profile →
Citations per field
00.5×10×20×30×36.4×
Afshin Jamshidi · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993155
2 200658
3 201951
4 200741
5 201635
6 201031
7 201228
8 201424
9 201124
10 201424
11 201323
12 200219
13 201119
14 201018
15 202017
16 200617
17 200614
18 200014
19 200212
20 20239

About Argon Chen

Argon Chen is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering, Endocrinology, Diabetes and Metabolism, Management Science and Operations Research and Management Information Systems, having authored 60 papers that have together received 765 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (14 papers), Thyroid Cancer Diagnosis and Treatment (13 papers), Manufacturing Process and Optimization (10 papers), Fault Detection and Control Systems (6 papers), Industrial Vision Systems and Defect Detection (6 papers), Supply Chain and Inventory Management (6 papers), Thyroid and Parathyroid Surgery (5 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (193 citations), Industrial and Manufacturing Engineering (165 citations), Management Science and Operations Research (180 citations), Endocrinology, Diabetes and Metabolism (182 citations) and Medical Laboratory Technology (14 citations). Argon Chen has collaborated with scholars based in Taiwan, Australia and United States. Frequent co-authors include Elsayed A. Elsayed, Chiung‐Nien Chen, Kuan-Yuan Chen, Ming‐Hsun Wu, Jakey Blue, Hao‐Chih Tai, Chun‐Hung Chen, King‐Jen Chang, Ming‐Chih Ho and Min-Shu Hsieh. Their work appears in journals such as International Journal of Production Research, Ultrasound in Medicine & Biology, Cancers, Journal of Process Control and Pattern Recognition.

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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