Tie Li

25 papers and 636 indexed citations i.

About

Tie Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tie Li has authored 25 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Tie Li’s work include Advanced Image and Video Retrieval Techniques (4 papers), Adaptation to Concept Drift in Data Streams (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Tie Li is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Adaptation to Concept Drift in Data Streams (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Tie Li collaborates with scholars based in China, United States and South Korea. Tie Li's co-authors include Yi Peng, Gang Kou, Philip S. Yu, Gui‐Peng Yang, Mao‐Xu Zhu, Weiwei Ma, Xiaoning Shi, Yanhong Li, Yongming Song and Guangxu Li 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 i

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025