Yitong Li

743 total citations
42 papers, 330 citations indexed

About

Yitong Li is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yitong Li has authored 42 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yitong Li's work include Topic Modeling (24 papers), Natural Language Processing Techniques (17 papers) and Speech and dialogue systems (9 papers). Yitong Li is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (17 papers) and Speech and dialogue systems (9 papers). Yitong Li collaborates with scholars based in China, United States and Sweden. Yitong Li's co-authors include Ming Zhou, Timothy Baldwin, Xiaohua Liu, Trevor Cohn, Furu Wei, David Carlson, Yi Lü, Lawrence Carin, Géraldine Dawson and Fei Mi and has published in prestigious journals such as IEEE Access, IEEE Transactions on Neural Networks and Learning Systems and Journal of Chemical Information and Modeling.

In The Last Decade

Yitong Li

38 papers receiving 315 citations

Peers

Yitong Li
Comparison fields: 5 of 76
  • Artificial Intelligence 267
  • Computer Vision and Pattern Recognition 56
  • Information Systems 51
  • Statistical and Nonlinear Physics 28
  • Management Science and Operations Research 16
Replace Hongkui Yu with:
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Massih-Reza Amini France
Jeffrey Flanigan United States
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Arvind Neelakantan United States
Hongkui Yu China View profile →
Citations per field, relative to Yitong Li
Yitong Li · 1×
Citations per year, relative to Yitong Li
Yitong Li · 1×

Countries citing papers authored by Yitong Li

Since Specialization
Citations

This map shows the geographic impact of Yitong 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 Yitong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yitong Li more than expected).

Fields of papers citing papers by Yitong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yitong 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 Yitong Li. The network helps show where Yitong Li may publish in the future.

Co-authorship network of co-authors of Yitong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yitong Li. A scholar is included among the top collaborators of Yitong 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 Yitong Li. Yitong 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 0
2 1
3 0
4 1
5 2
6 1
7 5
8 0
9 2
10 6
11 2
12 2
13 11
14 1
15 9
16
Learning Context-Aware Convolutional Filters for Text Processing
1
17
Adaptive Convolutional Filter Generation for Natural Language Understanding.
7
18
A Machine Learning Method to Distinguish Machine Translation from Human Translation
4
19
Entity Linking for Tweets
52
20
Graph-Based Multi-Tweet Summarization using Social Signals
25

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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