Tie Li

30 papers and 679 indexed citations
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About

Tie Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Tie Li has authored 30 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Tie Li’s work include Advanced Image and Video Retrieval Techniques (4 papers), Data Stream Mining Techniques (3 papers) and Financial Distress and Bankruptcy Prediction (3 papers). Tie Li is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Data Stream Mining Techniques (3 papers) and Financial Distress and Bankruptcy Prediction (3 papers). Tie Li collaborates with scholars based in China, United States and Poland. Tie Li's co-authors include Yi Peng, Gang Kou, Philip S. Yu, Mao‐Xu Zhu, Gui‐Peng Yang, Xiaoning Shi, Weiwei Ma, Guangxu Li, Yanhong Li and Yongming Song and has published in prestigious journals such as European Journal of Operational Research, IEEE Transactions on Geoscience and Remote Sensing and Marine Pollution Bulletin.

In The Last Decade

Co-authorship network of co-authors of Tie Li

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

Fields of papers citing papers by Tie Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tie Li

Since Specialization
Citations

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

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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2026