Boxing Chen

2.1k citations
103 papers · 1.3k · h-index 21

Impact in

Papers in

    • Natural Language Processing Techniques 86
    • Topic Modeling 84
    • Speech Recognition and Synthesis 20
    • Speech and dialogue systems 13
    • Semantic Web and Ontologies 11
    • Algorithms and Data Compression 8
    • Text Readability and Simplification 7
    • Multimodal Machine Learning Applications 21

Boxing Chen

95 papers receiving 1.2k citations

Peers

Boxing Chen
Comparison fields: 5 of 60
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 321
  • Information Systems 126
  • Software 20
  • Signal Processing 32
Replace Hideki Isozaki with:
Hideki Isozaki Japan
Linfeng Song China
Christian Federmann Germany
Cícero Nogueira dos Santos Brazil
Michael Denkowski United States
Sam Wiseman United States
Muyun Yang China
Zuchao Li China
Rajeev Sangal India
Guohong Fu China
Boxing Chen relative to Hideki Isozaki Japan Hideki Isozaki's profile →
Citations per field
00.5×2×4×6×8.8×
Hideki Isozaki · 1×
Citations per year

Countries citing papers authored by Boxing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Boxing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014147
2 202151
3 201750
4 202044
5 201944
6 202140
7 201937
8 201935
9 202032
10 202332
11 202231
12 202030
13
Vector Space Model for Adaptation in Statistical Machine Translation
201326
14
AMBER: A Modified BLEU, Enhanced Ranking Metric
201126
15 201825
16 201624
17 202224
18 202124
19 202022
20
Unpacking and Transforming Feature Functions: New Ways to Smooth Phrase Tables
201121

About Boxing Chen

Boxing Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Computer Networks and Communications, having authored 103 papers that have together received 1.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (86 papers), Topic Modeling (84 papers), Multimodal Machine Learning Applications (21 papers), Speech Recognition and Synthesis (20 papers), Speech and dialogue systems (13 papers), Semantic Web and Ontologies (11 papers), Algorithms and Data Compression (8 papers) and Text Readability and Simplification (7 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (321 citations), Information Systems (126 citations), Software (20 citations) and Signal Processing (32 citations). Boxing Chen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Colin Cherry, Roland Kühn, Weihua Luo, George Foster, Zhirui Zhang, Kai Fan, Baosong Yang, Junliang Guo, Pei Zhang and Min Zhang. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Computational Linguistics, Lecture notes in computer science, ACM Transactions on Asian Language Information Processing and Proceedings of the AAAI Conference on Artificial Intelligence.

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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