Derek F. Wong
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Molecular Biology
- Signal Processing top 10%
- Topics
- Topic Modeling (92 papers)Natural Language Processing Techniques (91 papers)Multimodal Machine Learning Applications (16 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Science Applications
- Partner nations
- MacaoChinaUnited States
In The Last Decade
Derek F. Wong
118 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 1.0k
- Computer Vision and Pattern Recognition 317
- Information Systems 131
- Molecular Biology 114
- Signal Processing 56
Countries citing papers authored by Derek F. Wong
This map shows the geographic impact of Derek F. Wong'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 Derek F. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek F. Wong more than expected).
Fields of papers citing papers by Derek F. Wong
This network shows the impact of papers produced by Derek F. Wong. 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 Derek F. Wong. The network helps show where Derek F. Wong may publish in the future.
Co-authorship network of co-authors of Derek F. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Derek F. Wong. A scholar is included among the top collaborators of Derek F. Wong 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 Derek F. Wong. Derek F. Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | Understanding and Improving Lexical Choice in Non-Autoregressive Translation | 12 |
| 10 | 10 | |
| 11 | UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation | 53 |
| 12 | Influence of Part-of-Speech and Phrasal Category Universal Tag-set in Tree-to-Tree Translation Models | 1 |
| 13 | Edit Distance: A New Data Selection Criterion for Domain Adaptation in SMT | 4 |
| 14 | Experiments with POS-based restructuring and alignment-based reordering for statistical machine translation | 3 |
| 15 | UM-Checker: A Hybrid System for English Grammatical Error Correction | 10 |
| 16 | Quality Estimation for Machine Translation Using the Joint Method of Evaluation Criteria and Statistical Modeling | 7 |
| 17 | Co-regularizing character-based and word-based models for semi-supervised Chinese word segmentation | 4 |
| 18 | A Description of Tunable Machine Translation Evaluation Systems in WMT13 Metrics Task | 3 |
| 19 | Graph-based Semi-Supervised Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging | 28 |
| 20 | Knowledge acquisition in supporting diagnosis for e-healthcare infrastructure | 1 |
About Derek F. Wong
Derek F. Wong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Informatics, having authored 132 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (92 papers), Natural Language Processing Techniques (91 papers) and Multimodal Machine Learning Applications (16 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computer Vision and Pattern Recognition (317 citations) and Computer Science Applications (53 citations). Derek F. Wong has collaborated with scholars based in Macao, China and United States. Frequent co-authors include Lidia S. Chao, Baosong Yang, Zhaopeng Tu, Xuebo Liu, Sam Chao, Xiaodong Zeng, Longyue Wang, Yu Wan, Fandong Meng and Tong Zhang. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.
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.