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
Guolei Yang United States
Yitan Li
Citations per year, relative to Yitan Li Yitan Li (= 1×) peers Guolei Yang

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
1.
Li, Yitan, et al.. (2023). A local binary social spider algorithm for feature selection in credit scoring model. Applied Soft Computing. 144. 110549–110549. 4 indexed citations
2.
Cao, Wei, Dong Wang, Jian Li, et al.. (2018). BRITS: Bidirectional Recurrent Imputation for Time Series. arXiv (Cornell University). 31. 6775–6785. 46 indexed citations
3.
Li, Yitan, et al.. (2015). Word embedding revisited: a new representation learning and explicit matrix factorization perspective. International Conference on Artificial Intelligence. 3650–3656. 54 indexed citations
4.
Xu, Linli, et al.. (2015). A Nonconvex Relaxation Approach for Rank Minimization Problems. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 17 indexed citations
5.
Xu, Linli, et al.. (2015). Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction. 541–549. 1 indexed citations
6.
Xu, Linli, et al.. (2014). Robust Dynamic Trajectory Regression on Road Networks: A Multi-task Learning Framework. 68. 857–862. 6 indexed citations

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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