Libin Shen
Impact in
- Artificial Intelligence top 1%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Text Readability and Simplification
- Semantic Web and Ontologies
- Algorithms and Data Compression
- Speech Recognition and Synthesis
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- Handwritten Text Recognition Techniques
Papers in
-
- Natural Language Processing Techniques 25
- Topic Modeling 23
- Algorithms and Data Compression 5
- Speech and dialogue systems 3
- Semantic Web and Ontologies 3
- Text Readability and Simplification 3
- Advanced Text Analysis Techniques 2
- Co-authors
- Aravind K. Joshi (10 shared papers)Jinxi Xu (4 shared papers)Ralph Weischedel (4 shared papers)Anoop Sarkar (3 shared papers)Franz Josef Och (2 shared papers)Nianwen Xue (1 shared paper)Giorgio Satta (1 shared paper)Zhen Jin (1 shared paper)
- Journals
- Machine Learning (1 paper)Nano Energy (1 paper)Academic Medicine (1 paper)Computational Linguistics (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Libin Shen
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 156
- Information Systems 104
- Health 14
- Computational Theory and Mathematics 31
Countries citing papers authored by Libin Shen
This map shows the geographic impact of Libin Shen'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 Libin Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libin Shen more than expected).
Fields of papers citing papers by Libin Shen
This network shows the impact of papers produced by Libin Shen. 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 Libin Shen. The network helps show where Libin Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Libin Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 203 | |
| 2 | A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model | 2008 | 193 |
| 3 | Discriminative Reranking for Machine Translation | 2004 | 154 |
| 4 | Guided Learning for Bidirectional Sequence Classification | 2007 | 123 |
| 5 | 2003 | 116 | |
| 6 | 2005 | 82 | |
| 7 | 2003 | 45 | |
| 8 | 2003 | 42 | |
| 9 | 2010 | 36 | |
| 10 | 2009 | 33 | |
| 11 | 2023 | 24 | |
| 12 | 2005 | 23 | |
| 13 | 2006 | 22 | |
| 14 | 2008 | 21 | |
| 15 | 1997 | 18 | |
| 16 | 2020 | 16 | |
| 17 | 2007 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2003 | 13 | |
| 20 | Statistical ltag parsing | 2006 | 13 |
About Libin Shen
Libin Shen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Pollution, Information Systems and Computational Theory and Mathematics, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (25 papers), Topic Modeling (23 papers), Algorithms and Data Compression (5 papers), Speech and dialogue systems (3 papers), Semantic Web and Ontologies (3 papers), Text Readability and Simplification (3 papers), Smart Materials for Construction (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (156 citations), Information Systems (104 citations), Health (14 citations) and Computational Theory and Mathematics (31 citations). Libin Shen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Aravind K. Joshi, Jinxi Xu, Ralph Weischedel, Anoop Sarkar, Franz Josef Och, Nianwen Xue, Giorgio Satta, Zhen Jin, Viren Jain and Dragomir Radev. Their work appears in journals such as Machine Learning, Nano Energy, Academic Medicine, Computational Linguistics and Lecture notes in computer science.
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.