Ruby C. Weng

4.3k citations
24 papers · 3.2k · 3 hit papers · h-index 11

Impact in

Papers in

    • Neural Networks and Applications 7
    • Bayesian Methods and Mixture Models 4
    • Imbalanced Data Classification Techniques 2
    • Advanced Statistical Methods and Models 7
    • Statistical Methods and Bayesian Inference 4
    • Statistical Distribution Estimation and Applications 4

Ruby C. Weng

22 papers receiving 3.1k citations

Ruby C. Weng's Hit Papers

A note on Platt’s probabilistic outputs for support vector machines 2007 · 589 citations
5890+7+15Years since publication2505007501000

Peers

Ruby C. Weng
Comparison fields: 5 of 165
  • Computer Vision and Pattern Recognition 1.1k
  • Media Technology 387
  • Artificial Intelligence 1.3k
  • Signal Processing 317
  • Statistics and Probability 133
Replace Ethem Alpaydın with:
Ethem Alpaydın Türkiye
S.R. Gunn United Kingdom
Juan J. Rodríguez Spain
Todd K. Moon United States
Pavel Pudil Czechia
Babak Nadjar Araabi Iran
Jana Novovičová Czechia
Jacob Goldberger Israel
Jing‐Hao Xue United Kingdom
Tingfan Wu China
Ruby C. Weng relative to Ethem Alpaydın Türkiye Ethem Alpaydın's profile →
Citations per field
00.5×2.7×
Ethem Alpaydın · 1×
Citations per year

Countries citing papers authored by Ruby C. Weng

Since Specialization
Citations

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

Fields of papers citing papers by Ruby C. Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruby C. Weng. 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 Ruby C. Weng. The network helps show where Ruby C. Weng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Probability Estimates for Multi-class Classification by Pairwise Coupling
Hit paper breakdown →
20041124
2
Probability Estimates for Multi-Class Classification by Pairwise Coupling
Hit paper breakdown →
2003853
3
A note on Platt’s probabilistic outputs for support vector machines
Hit paper breakdown →
2007589
4 2008208
5 2007203
6 2006109
7 201139
8 200631
9 200414
10 201012
11
A Generalized Bradley-Terry Model: From Group Competition to Individual Skill
200411
12
INTEGRABLE EXPANSIONS FOR POSTERIOR DISTRIBUTIONS FOR MULTIPARAMETER EXPONENTIAL FAMILIES WITH APPLICATIONS TO SEQUENTIAL CONFIDENCE LEVELS
20008
13 20087
14 20166
15
Very weak expansions for sequentially designed experiments.
19994
16
ON STEIN'S IDENTITY FOR POSTERIOR NORMALITY
20034
17 20123
18 20033
19 20153
20 20041

About Ruby C. Weng

Ruby C. Weng is a scholar working on Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 24 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Advanced Statistical Methods and Models (7 papers), Face and Expression Recognition (4 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Distribution Estimation and Applications (4 papers), Bayesian Methods and Mixture Models (4 papers), Sports Analytics and Performance (3 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (387 citations), Artificial Intelligence (1.3k citations), Signal Processing (317 citations) and Statistics and Probability (133 citations). Ruby C. Weng has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Chih‐Jen Lin, Tingfan Wu, Hsuan-Tien Lin, S. Sathiya Keerthi, Ming‐Wei Chang, Michael Woodroofe and D. Stephen Coad. Their work appears in journals such as Journal of Machine Learning Research, Journal of Statistical Planning and Inference, Bayesian Analysis, The American Statistician and Scandinavian Journal of Statistics.

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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