Yitan Li

563 total citations
6 papers, 128 citations indexed

About

Yitan Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yitan Li has authored 6 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Yitan Li's work include Sparse and Compressive Sensing Techniques (1 paper), Traffic Prediction and Management Techniques (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). Yitan Li is often cited by papers focused on Sparse and Compressive Sensing Techniques (1 paper), Traffic Prediction and Management Techniques (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). Yitan Li collaborates with scholars based in China and United States. Yitan Li's co-authors include Enhong Chen, Linli Xu, Fei Tian, Liang Jiang, Dong Wang, Jian Li, Hao Zhou, Wei Cao, Lei Li and Zhiyuan Liu and has published in prestigious journals such as Applied Soft Computing, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Yitan Li

6 papers receiving 120 citations

Peers

Yitan Li
Comparison fields: 5 of 51
  • Artificial Intelligence 79
  • Signal Processing 36
  • Computer Vision and Pattern Recognition 26
  • Information Systems 20
  • Computational Mechanics 13
Guolei Yang United States
Joaquín Borrego‐Díaz Spain
Hongyang Zhang China
Leszek Siwik Poland
Huafeng Liu China
Shizhe Diao Hong Kong
Alireza Rezaei Mahdiraji Germany
Giuseppe M. Mazzeo Italy
Lingjing Kong China
Guolei Yang United States View profile →
Citations per field, relative to Yitan Li
Yitan Li · 1×
Citations per year, relative to Yitan Li
Yitan Li · 1×

Countries citing papers authored by Yitan Li

Since Specialization
Citations

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

Fields of papers citing papers by Yitan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yitan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yitan Li. A scholar is included among the top collaborators of Yitan 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 Yitan Li. Yitan Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
# Work Indexed citations
1 4
2
BRITS: Bidirectional Recurrent Imputation for Time Series
46
3
Word embedding revisited: a new representation learning and explicit matrix factorization perspective
54
4 17
5 1
6 6

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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