Chenhui Chu
About
In The Last Decade
Chenhui Chu
81 papers receiving 699 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 604
- Computer Vision and Pattern Recognition 286
- Signal Processing 42
- Molecular Biology 40
- Information Systems 35
Countries citing papers authored by Chenhui Chu
This map shows the geographic impact of Chenhui Chu'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 Chenhui Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenhui Chu more than expected).
Fields of papers citing papers by Chenhui Chu
This network shows the impact of papers produced by Chenhui Chu. 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 Chenhui Chu. The network helps show where Chenhui Chu may publish in the future.
Co-authorship network of co-authors of Chenhui Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Chenhui Chu. A scholar is included among the top collaborators of Chenhui Chu 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 Chenhui Chu. Chenhui Chu 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 | 1 | |
| 3 | 0 | |
| 4 | MM-LLMs: Recent Advances in MultiModal Large Language Models breakdown → | 87 |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | iParaphrasing: Extracting Visually Grounded Paraphrases via an Image | 3 |
| 12 | Osaka University MT Systems for WAT 2018: Rewarding, Preordering, and Domain Adaptation | 1 |
| 13 | A Survey of Domain Adaptation for Neural Machine Translation | 51 |
| 14 | Parallel Sentence Extraction from Comparable Corpora with Neural Network Features | 5 |
| 15 | Paraphrasing out-of-vocabulary words with word embeddings and semantic lexicons for low resource statistical machine translation | 3 |
| 16 | Consistent Word Segmentation, Part-of-Speech Tagging and Dependency Labelling Annotation for Chinese Language | 4 |
| 17 | Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features | 3 |
| 18 | Cross-language Projection of Dependency Trees for Tree-to-tree Machine Translation | 2 |
| 19 | Improving Statistical Machine Translation Accuracy Using Bilingual Lexicon Extractionwith Paraphrases | 2 |
| 20 | Accurate Parallel Fragment Extraction from Quasi--Comparable Corpora using Alignment Model and Translation Lexicon | 6 |
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.