Lida Li

6 papers and 214 indexed citations i.

About

Lida Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems and Management. According to data from OpenAlex, Lida Li has authored 6 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems and Management. Recurrent topics in Lida Li’s work include Personal Information Management and User Behavior (3 papers), Adaptation to Concept Drift in Data Streams (3 papers) and Context-Aware Activity Recognition Systems (2 papers). Lida Li is often cited by papers focused on Personal Information Management and User Behavior (3 papers), Adaptation to Concept Drift in Data Streams (3 papers) and Context-Aware Activity Recognition Systems (2 papers). Lida Li collaborates with scholars based in United States. Lida Li's co-authors include Thomas G. Dietterich, Jonathan L. Herlocker, Simone Stumpf, Erin Sullivan, Margaret Burnett, Vidya Rajaram, Jianqiang Shen and Weng‐Keen Wong and has published in prestigious journals such as International Journal of Human-Computer Studies, CiteSeer X (The Pennsylvania State University) and International Joint Conference on Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Lida Li i

Fields of papers citing papers by Lida Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lida Li

Since Specialization
Citations

This map shows the geographic impact of Lida 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 Lida Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lida 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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2025