Zuchao Li

2.0k total citations
73 papers, 1.0k citations indexed

About

Zuchao Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Zuchao Li has authored 73 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Zuchao Li's work include Topic Modeling (55 papers), Natural Language Processing Techniques (55 papers) and Multimodal Machine Learning Applications (21 papers). Zuchao Li is often cited by papers focused on Topic Modeling (55 papers), Natural Language Processing Techniques (55 papers) and Multimodal Machine Learning Applications (21 papers). Zuchao Li collaborates with scholars based in China, Japan and United States. Zuchao Li's co-authors include Hai Zhao, Shexia He, Zhuosheng Zhang, Xi Zhou, Xiang Zhou, Eiichiro Sumita, Shuailiang Zhang, Yuwei Wu, Rui Wang and Masao Utiyama and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Zuchao Li

68 papers receiving 977 citations

Peers

Zuchao Li
Comparison fields: 5 of 74
  • Artificial Intelligence 891
  • Computer Vision and Pattern Recognition 291
  • Information Systems 55
  • Molecular Biology 46
  • Signal Processing 23
Replace Kehai Chen with:
Kehai Chen China
Lidia S. Chao Macao
Junhui Li China
Macduff Hughes United States
Linting Xue United States
Shinsuke Mori Japan
John DeNero United States
Yvette Graham Ireland
Jackie Chi Kit Cheung Canada
Daxiang Dong China
Kehai Chen China View profile →
Citations per field, relative to Zuchao Li
Zuchao Li · 1×
Citations per year, relative to Zuchao Li
Zuchao Li · 1×

Countries citing papers authored by Zuchao Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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