Yu Cheng
About
In The Last Decade
Yu Cheng
32 papers receiving 863 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 672
- Artificial Intelligence 511
- Signal Processing 26
- Computer Graphics and Computer-Aided Design 25
- Molecular Biology 18
Countries citing papers authored by Yu Cheng
This map shows the geographic impact of Yu Cheng'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 Yu Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Cheng more than expected).
Fields of papers citing papers by Yu Cheng
This network shows the impact of papers produced by Yu Cheng. 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 Yu Cheng. The network helps show where Yu Cheng may publish in the future.
Co-authorship network of co-authors of Yu Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Cheng. A scholar is included among the top collaborators of Yu Cheng 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 Yu Cheng. Yu Cheng 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 36 | |
| 10 | VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation | 1 |
| 11 | 31 | |
| 12 | 42 | |
| 13 | 9 | |
| 14 | Large-Scale Adversarial Training for Vision-and-Language Representation Learning | 15 |
| 15 | 33 | |
| 16 | 63 | |
| 17 | FreeLB: Enhanced Adversarial Training for Language Understanding | 3 |
| 18 | Discourse-Aware Neural Extractive Model for Text Summarization. | 4 |
| 19 | IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems. | 5 |
| 20 | 4 |
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.