Stanley F. Chen

5.0k total citations · 1 hit paper
22 papers, 2.5k citations indexed

About

Stanley F. Chen is a scholar working on Artificial Intelligence, Linguistics and Language and Infectious Diseases. According to data from OpenAlex, Stanley F. Chen has authored 22 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 1 paper in Linguistics and Language and 0 papers in Infectious Diseases. Recurrent topics in Stanley F. Chen's work include Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers) and Speech Recognition and Synthesis (14 papers). Stanley F. Chen is often cited by papers focused on Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers) and Speech Recognition and Synthesis (14 papers). Stanley F. Chen collaborates with scholars based in United States, United Kingdom and Türkiye. Stanley F. Chen's co-authors include Joshua Goodman, Roni Rosenfeld, Bhuvana Ramabhadran, Abhinav Sethy, Xiaojin Zhu, Ruhi Sarikaya, Ebru Arısoy, Stephen M. Chu, Michael Picheny and Lidia Mangu and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Computer Speech & Language and Figshare.

In The Last Decade

Stanley F. Chen

22 papers receiving 2.2k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An empirical study of smoothing techniques for language modeling

1999 1.4k citations Stanley F. Chen, Joshua Goodman Computer Speech & Language profile →

Peers

Countries citing papers authored by Stanley F. Chen

Since Specialization

Citations

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

Fields of papers citing papers by Stanley F. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stanley F. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Stanley F. Chen. A scholar is included among the top collaborators of Stanley F. 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 Stanley F. Chen. Stanley F. Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Evaluation Metrics For Language Models 2018 ·Figshare ·Stanley F. Chen, (unknown), Roni Rosenfeld	41
2	Converting Neural Network Language Models into Back-off Language Models for Efficient Decoding in Automatic Speech Recognition 2013 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·Ebru Arısoy, Stanley F. Chen, Bhuvana Ramabhadran, Abhinav Sethy	22
3	Converting Neural Network Language Models into back-off language models for efficient decoding in automatic speech recognition 2013 ·Ebru Arısoy, Stanley F. Chen, Bhuvana Ramabhadran, Abhinav Sethy	31
4	Shrinkage-based features for natural language call routing 2011 ·Ruhi Sarikaya, Stanley F. Chen, Bhuvana Ramabhadran	3
5	Multi-class Model M 2011 ·Ahmad Emami, Stanley F. Chen	4
6	Pruning exponential language models 2011 ·Stanley F. Chen, Abhinav Sethy, Bhuvana Ramabhadran	2
7	Decoding with shrinkage-based language models 2010 ·Ahmad Emami, Stanley F. Chen, Abraham Ittycheriah, Hagen Soltau, Bing Zhao	8
8	Impact of word classing on shrinkage-based language models 2010 ·Ruhi Sarikaya, Stanley F. Chen, Abhinav Sethy, Bhuvana Ramabhadran	8
9	Shrinking exponential language models 2009 ·Stanley F. Chen	69
10	Scaling shrinkage-based language models 2009 ·Stanley F. Chen, Lidia Mangu, Bhuvana Ramabhadran, Ruhi Sarikaya, Abhinav Sethy	29
11	Performance prediction for exponential language models 2009 ·Stanley F. Chen	45
12	Using semantic analysis to improve speech recognition performance 2004 ·Computer Speech & Language ·Hakan Erdoğan, Ruhi Sarikaya, Stanley F. Chen, Yuqing Gao, Michael Picheny	31
13	Compiling large-context phonetic decision trees into finite-state transducers 2003 ·Stanley F. Chen	15
14	Conditional and joint models for grapheme-to-phoneme conversion 2003 ·Stanley F. Chen	105
15	Using place name data to train language identification models 2003 ·Stanley F. Chen, B. Maison	5
16	Whole-sentence exponential language models: a vehicle for linguistic-statistical integration 2001 ·Computer Speech & Language ·Roni Rosenfeld, Stanley F. Chen, Xiaojin Zhu	59
17	An empirical study of smoothing techniques for language modeling breakdown → 1999 ·Computer Speech & Language ·Stanley F. Chen, Joshua Goodman	1364
18	An empirical study of smoothing techniques for language modeling 1996 ·Stanley F. Chen, Joshua Goodman	490
19	Bayesian grammar induction for language modeling 1995 ·Stanley F. Chen	44
20	Aligning sentences in bilingual corpora using lexical information 1993 ·The COCOON platform (University of Paris) ·Stanley F. Chen	135

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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