Shujian Huang
- Artificial Intelligence top 0.5%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 2%
- Management Science and Operations Research top 5%
- Computer Networks and Communications top 10%
- Topics
- Topic Modeling (73 papers)Natural Language Processing Techniques (70 papers)Multimodal Machine Learning Applications (26 papers)
- Journals
- Veterinary MicrobiologyJournal of Artificial Intelligence ResearchLanguage Resources and Evaluation
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Shujian Huang
85 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 1.5k
- Information Systems 621
- Computer Vision and Pattern Recognition 539
- Management Science and Operations Research 111
- Computer Networks and Communications 98
Countries citing papers authored by Shujian Huang
This map shows the geographic impact of Shujian Huang'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 Shujian Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shujian Huang more than expected).
Fields of papers citing papers by Shujian Huang
This network shows the impact of papers produced by Shujian Huang. 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 Shujian Huang. The network helps show where Shujian Huang may publish in the future.
Co-authorship network of co-authors of Shujian Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Shujian Huang. A scholar is included among the top collaborators of Shujian Huang 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 Shujian Huang. Shujian Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 45 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | Variational Explanation Generator: Generating Explanation for Natural Language Inference Using Variational Auto-Encoder | 2 |
| 14 | 16 | |
| 15 | Mirror-Generative Neural Machine Translation | 10 |
| 16 | A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes | 3 |
| 17 | Enhancing Statistical Machine Translation with Character Alignment | 6 |
| 18 | Language Model Weight Adaptation Based on Cross-entropy for Statistical Machine Translation | 2 |
| 19 | Dealing with Spurious Ambiguity in Learning ITG-based Word Alignment | 1 |
| 20 | Improving Word Alignment by Semi-Supervised Ensemble | 1 |
About Shujian Huang
Shujian Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences, having authored 96 papers that have together received 1.8k indexed citations. Recurring topics across this work include Topic Modeling (73 papers), Natural Language Processing Techniques (70 papers) and Multimodal Machine Learning Applications (26 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Information Systems (621 citations) and Computer Vision and Pattern Recognition (539 citations). Shujian Huang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xinyu Dai, Jiajun Chen, Jiajun Chen, Jianbing Zhang, Zhen Wu, Hao Zhou, Zaixiang Zheng, Zhifang Fan, David Chiang and Yue Zhang. Their work appears in journals such as Veterinary Microbiology, Journal of Artificial Intelligence Research and Language Resources and Evaluation.
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.