C.-L. Tsai

1.2k citations
6 papers · 780 · 1 hit paper · h-index 5

Impact in

Papers in

    • Statistical Methods and Inference 3
    • Advanced Statistical Methods and Models 3
    • Statistical Methods and Bayesian Inference 2
    • Statistical Distribution Estimation and Applications 1
    • Gaussian Processes and Bayesian Inference 1
    • Bayesian Methods and Mixture Models 1

C.-L. Tsai

6 papers receiving 747 citations

C.-L. Tsai's Hit Papers

Tuning parameter selectors for the smoothly clipped absolute deviation method 2007 · 544 citations
5440+6+12Years since publication100200300400500

Peers

C.-L. Tsai
Comparison fields: 5 of 93
  • Statistics and Probability 628
  • Statistics, Probability and Uncertainty 54
  • Artificial Intelligence 150
  • Management Science and Operations Research 58
  • Control and Systems Engineering 97
Replace Myoungshic Jhun with:
Myoungshic Jhun South Korea
Ivan Mizera Canada
Fengrong Wei United States
Prakash Patil United States
Volker Mammitzsch Germany
Efstathia Bura United States
Xiangrong Yin United States
Gaorong Li China
Lu Lin China
C.-L. Tsai relative to Myoungshic Jhun South Korea Myoungshic Jhun's profile →
Citations per field
00.5×2.6×
Myoungshic Jhun · 1×
Citations per year

Countries citing papers authored by C.-L. Tsai

Since Specialization
Citations

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

Fields of papers citing papers by C.-L. Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.-L. Tsai. 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 C.-L. Tsai. The network helps show where C.-L. Tsai may publish in the future.

Co-authors

The 7 scholars most cited alongside C.-L. Tsai, 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 C.-L. Tsai Line = papers co-authored together C.-L. Tsai links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Tuning parameter selectors for the smoothly clipped absolute deviation method
Hit paper breakdown →
2007544
2 198671
3 199264
4 200557
5 200740
6 19864

About C.-L. Tsai

C.-L. Tsai is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Control and Systems Engineering and Computational Mechanics, having authored 6 papers that have together received 780 indexed citations. Recurring topics across this work include Statistical Methods and Inference (3 papers), Advanced Statistical Methods and Models (3 papers), Statistical Methods and Bayesian Inference (2 papers), Control Systems and Identification (1 paper), Advanced Statistical Process Monitoring (1 paper), Statistical Distribution Estimation and Applications (1 paper), Gaussian Processes and Bayesian Inference (1 paper) and Bayesian Methods and Mixture Models (1 paper). The work is most often cited by research in Statistics and Probability (628 citations), Statistics, Probability and Uncertainty (54 citations), Artificial Intelligence (150 citations), Management Science and Operations Research (58 citations) and Control and Systems Engineering (97 citations). C.-L. Tsai has collaborated with scholars based in China and United States. Frequent co-authors include Runze Li, Hansheng Wang, R. Dennis Cook, A. C. Davison, Liqiang Ni, Li Li and R. D. Cook. Their work appears in journals such as Biometrika and International Statistical Review.

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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