Zichao Yang
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Information Systems top 1%
- Signal Processing top 2%
- Sociology and Political Science top 5%
- Co-authors
- Xiaodong HeAlex SmolaDiyi YangChris DyerEduard HovyLi DengJianfeng GaoChao Zhang
- Topics
- Topic Modeling (11 papers)Natural Language Processing Techniques (8 papers)Multimodal Machine Learning Applications (6 papers)
- Journals
- PLoS ONEJournal of Pharmaceutical SciencesIEEE Journal of Selected Topics in Signal Processing
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Zichao Yang
26 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 3.5k
- Computer Vision and Pattern Recognition 1.7k
- Information Systems 677
- Signal Processing 285
- Sociology and Political Science 253
Countries citing papers authored by Zichao Yang
This map shows the geographic impact of Zichao Yang'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 Zichao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zichao Yang more than expected).
Fields of papers citing papers by Zichao Yang
This network shows the impact of papers produced by Zichao Yang. 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 Zichao Yang. The network helps show where Zichao Yang may publish in the future.
Co-authorship network of co-authors of Zichao Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Zichao Yang. A scholar is included among the top collaborators of Zichao Yang 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 Zichao Yang. Zichao Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 40 | |
| 6 | 3 | |
| 7 | 33 | |
| 8 | 29 | |
| 9 | Connecting the Dots Between MLE and RL for Sequence Generation | 5 |
| 10 | 18 | |
| 11 | Controllable Text Generation. | 43 |
| 12 | On Unifying Deep Generative Models | 11 |
| 13 | 40 | |
| 14 | 29 | |
| 15 | 23 | |
| 16 | Hierarchical Attention Networks for Document Classificationbreakdown → | 2941 |
| 17 | 7 | |
| 18 | Stacked Attention Networks for Image Question Answeringbreakdown → | 1188 |
| 19 | 43 | |
| 20 | 47 |
About Zichao Yang
Zichao Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and General Social Sciences, having authored 26 papers that have together received 4.9k indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Artificial Intelligence (3.5k citations), Computer Vision and Pattern Recognition (1.7k citations) and Information Systems (677 citations). Zichao Yang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Xiaodong He, Alex Smola, Diyi Yang, Chris Dyer, Eduard Hovy, Li Deng, Jianfeng Gao, Chao Zhang, Zhiting Hu and Eric P. Xing. Their work appears in journals such as PLoS ONE, Journal of Pharmaceutical Sciences and IEEE Journal of Selected Topics in Signal Processing.
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.