Yi‐Hsin Chen

1.5k citations
80 papers · 973 · h-index 16

Impact in

Papers in

Yi‐Hsin Chen

70 papers receiving 930 citations

Peers

Yi‐Hsin Chen
Comparison fields: 5 of 170
  • Computer Vision and Pattern Recognition 229
  • Artificial Intelligence 184
  • Statistics and Probability 44
  • Radiology, Nuclear Medicine and Imaging 104
  • Media Technology 36
Replace Joel Weijia Lai with:
Joel Weijia Lai Singapore
Vı́tor Carvalho Portugal
Sung-Hee Kim South Korea
Simon Breslav Canada
Zhenghao Chen China
Jiaqi Gong United States
Tom Anderson United Kingdom
Yi‐Hsin Chen relative to Joel Weijia Lai Singapore Joel Weijia Lai's profile →
Citations per field
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Joel Weijia Lai · 1×
Citations per year

Countries citing papers authored by Yi‐Hsin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Hsin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017210
2 201676
3 200660
4 201148
5 200547
6 201647
7 199840
8 201129
9 201626
10 200122
11 202320
12
Understanding differences in postsecondary educational attainment: A comparison of predictive measures for Black and White students
200619
13 201119
14 201519
15 201017
16 201116
17 201215
18 201114
19 200813
20 200212

About Yi‐Hsin Chen

Yi‐Hsin Chen is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Management Science and Operations Research and Education, having authored 80 papers that have together received 973 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (8 papers), Psychometric Methodologies and Testing (8 papers), Statistical Methods in Clinical Trials (7 papers), Advanced Image Processing Techniques (7 papers), Education, Achievement, and Giftedness (6 papers), Statistical Methods and Bayesian Inference (6 papers), Advanced Data Compression Techniques (5 papers) and Advanced Statistical Modeling Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Artificial Intelligence (184 citations), Statistics and Probability (44 citations), Radiology, Nuclear Medicine and Imaging (104 citations) and Media Technology (36 citations). Yi‐Hsin Chen has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Min Sun, Yu-Chiang Frank Wang, Wei‐Yu Chen, Yu-Ting Chen, Jeffrey D. Kromrey, Marilyn S. Thompson, Eunsook Kim, Shein-Fu Wu, Diep Nguyen and Wang‐Tso Lee. Their work appears in journals such as Journal of Psychoeducational Assessment, Heat and Mass Transfer, SAE technical papers on CD-ROM/SAE technical paper series, Educational and Psychological Measurement and International Journal of Testing.

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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