Zuchao Li
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Molecular Biology
- Signal Processing
- Topics
- Topic Modeling (55 papers)Natural Language Processing Techniques (55 papers)Multimodal Machine Learning Applications (21 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Zuchao Li
68 papers receiving 977 citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 891
- Computer Vision and Pattern Recognition 291
- Information Systems 55
- Molecular Biology 46
- Signal Processing 23
Countries citing papers authored by Zuchao Li
This map shows the geographic impact of Zuchao Li'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 Zuchao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zuchao Li more than expected).
Fields of papers citing papers by Zuchao Li
This network shows the impact of papers produced by Zuchao Li. 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 Zuchao Li. The network helps show where Zuchao Li may publish in the future.
Co-authorship network of co-authors of Zuchao Li
This figure shows the co-authorship network connecting the top 25 collaborators of Zuchao Li. A scholar is included among the top collaborators of Zuchao Li 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 Zuchao Li. Zuchao Li 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 | 4 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 4 | |
| 8 | 10 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | Multilingual Pre-training with Universal Dependency Learning | 4 |
| 13 | 16 | |
| 14 | 13 | |
| 15 | Neural Machine Translation with Universal Visual Representation | 49 |
| 16 | 17 | |
| 17 | Data-dependent Gaussian Prior Objective for Language Generation | 32 |
| 18 | 35 | |
| 19 | 11 | |
| 20 | Seq2seq Dependency Parsing. | 61 |
About Zuchao Li
Zuchao Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Music, having authored 73 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (55 papers), Natural Language Processing Techniques (55 papers) and Multimodal Machine Learning Applications (21 papers). The work is most often cited by research in Artificial Intelligence (891 citations), Computer Vision and Pattern Recognition (291 citations) and Health Informatics (5 citations). Zuchao Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Hai Zhao, Shexia He, Zhuosheng Zhang, Xi Zhou, Xiang Zhou, Eiichiro Sumita, Shuailiang Zhang, Yuwei Wu, Rui Wang and Masao Utiyama. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image 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.