Yen-Chun Chen
About
In The Last Decade
Yen-Chun Chen
12 papers receiving 653 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 610
- Computer Vision and Pattern Recognition 302
- Information Systems 30
- Molecular Biology 22
- Political Science and International Relations 12
Countries citing papers authored by Yen-Chun Chen
This map shows the geographic impact of Yen-Chun Chen'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 Yen-Chun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen-Chun Chen more than expected).
Fields of papers citing papers by Yen-Chun Chen
This network shows the impact of papers produced by Yen-Chun Chen. 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 Yen-Chun Chen. The network helps show where Yen-Chun Chen may publish in the future.
Co-authorship network of co-authors of Yen-Chun Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yen-Chun Chen. A scholar is included among the top collaborators of Yen-Chun Chen 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 Yen-Chun Chen. Yen-Chun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 19 | |
| 5 | VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation | 1 |
| 6 | 53 | |
| 7 | 11 | |
| 8 | 76 | |
| 9 | Large-Scale Adversarial Training for Vision-and-Language Representation Learning | 15 |
| 10 | Distilling the Knowledge of BERT for Text Generation | 12 |
| 11 | UNITER: Learning UNiversal Image-TExt Representations | 166 |
| 12 | Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting breakdown → | 329 |
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.