Mu Li
Impact in
-
- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Advanced Data Compression Techniques
- Advanced Image and Video Retrieval Techniques
- Computational Mathematics top 5%
Papers in
-
- Advanced Image Processing Techniques 10
- Video Analysis and Summarization 9
- Advanced Image and Video Retrieval Techniques 9
- Advanced Data Compression Techniques 6
Mu Li
98 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 1.0k
- Computational Mathematics 28
- Artificial Intelligence 1.4k
- Water Science and Technology 264
- Aging 29
Countries citing papers authored by Mu Li
This map shows the geographic impact of Mu Li'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 Mu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu Li more than expected).
Fields of papers citing papers by Mu Li
This network shows the impact of papers produced by Mu Li. 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 Mu Li. The network helps show where Mu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Mu Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 26 | |
| 8 | 2020 | 54 | |
| 9 | 2015 | 99 | |
| 10 | 2014 | 0 | |
| 11 | A Lexicalized Reordering Model for Hierarchical Phrase-based Translation | 2014 | 4 |
| 12 | 2013 | 11 | |
| 13 | 2013 | 15 | |
| 14 | Translation Model Size Reduction for Hierarchical Phrase-based Statistical Machine Translation | 2012 | 3 |
| 15 | Learning Translation Consensus with Structured Label Propagation | 2012 | 9 |
| 16 | Adaptive Development Data Selection for Log-linear Model in Statistical Machine Translation | 2010 | 14 |
| 17 | Mixture Model-based Minimum Bayes Risk Decoding using Multiple Machine Translation Systems | 2010 | 10 |
| 18 | A Joint Rule Selection Model for Hierarchical Phrase-Based Translation | 2010 | 9 |
| 19 | Phrase Reordering Model Integrating Syntactic Knowledge for SMT | 2007 | 20 |
| 20 | A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation | 2007 | 62 |
About Mu Li
Mu Li is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics, Artificial Intelligence, Water Science and Technology and Signal Processing, having authored 106 papers that have together received 2.9k indexed citations. Recurring topics across this work include Topic Modeling (37 papers), Natural Language Processing Techniques (34 papers), Advanced Image Processing Techniques (10 papers), Video Analysis and Summarization (9 papers), Advanced Image and Video Retrieval Techniques (9 papers), Membrane Separation Technologies (7 papers), Advanced Data Compression Techniques (6 papers) and Text Readability and Simplification (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Computational Mathematics (28 citations), Artificial Intelligence (1.4k citations), Water Science and Technology (264 citations) and Aging (29 citations). Mu Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ming Zhou, David Zhang, Shujie Liu, Wangmeng Zuo, Shuhang Gu, Debin Zhao, Dongdong Zhang, Feiyun Sun, Vishal Monga and Nan Yang. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition, Information Sciences, IEEE Transactions on Neural Networks and Learning Systems and Journal of Crystal Growth.
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.