Berlin Chen

1.9k citations
155 papers · 1.3k · h-index 19

Impact in

    • Speech Recognition and Synthesis
    • Advanced Text Analysis Techniques
    • Topic Modeling
    • Natural Language Processing Techniques
    • Music and Audio Processing
    • Speech and Audio Processing

Papers in

    • Speech Recognition and Synthesis 104
    • Topic Modeling 28
    • Advanced Text Analysis Techniques 27
    • Speech and dialogue systems 7
    • Text Readability and Simplification 5
    • Natural Language Processing Techniques 4
    • Information Retrieval and Search Behavior 32

Berlin Chen

141 papers receiving 1.3k citations

Peers

Berlin Chen
Comparison fields: 5 of 63
  • Artificial Intelligence 1.1k
  • Signal Processing 102
  • Information Systems 205
  • Computer Vision and Pattern Recognition 61
  • Health Informatics 4
Replace Lidia Mangu with:
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Mikio Yamamoto Japan
Saurabh Kataria United States
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Citations per field
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Citations per year

Countries citing papers authored by Berlin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Berlin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200583
2 201967
3 200245
4 201539
5 200937
6 202035
7 200427
8 201527
9 200225
10 200924
11 202124
12 200722
13 200922
14 201221
15 201221
16 201721
17 201720
18 201920
19 200719
20 201019

About Berlin Chen

Berlin Chen is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Statistics and Probability and Atomic and Molecular Physics, and Optics, having authored 155 papers that have together received 1.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (104 papers), Information Retrieval and Search Behavior (32 papers), Topic Modeling (28 papers), Advanced Text Analysis Techniques (27 papers), Speech and dialogue systems (7 papers), Text Readability and Simplification (5 papers), Music and Audio Processing (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Signal Processing (102 citations), Information Systems (205 citations), Computer Vision and Pattern Recognition (61 citations) and Health Informatics (4 citations). Berlin Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Hsin‐Min Wang, Shih-Hsiang Lin, Kuan‐Yu Chen, Shih‐Hung Liu, Lin-shan Lee, Yu‐Te Wu, Li Su, Hsin‐Hsi Chen, Yao‐Ting Sung and Jiawen Liu. Their work appears in journals such as Pattern Recognition Letters, IEEE/ACM Transactions on Audio Speech and Language Processing, Information Processing & Management, Journal of Chemical Theory and Computation and IEEE Transactions on Audio Speech and Language Processing.

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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