Chun-Ta Lu

18 papers and 298 indexed citations i.

About

Chun-Ta Lu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chun-Ta Lu has authored 18 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chun-Ta Lu’s work include Advanced Graph Neural Networks (6 papers), Recommender Systems and Techniques (5 papers) and Topic Modeling (5 papers). Chun-Ta Lu is often cited by papers focused on Advanced Graph Neural Networks (6 papers), Recommender Systems and Techniques (5 papers) and Topic Modeling (5 papers). Chun-Ta Lu collaborates with scholars based in United States and China. Chun-Ta Lu's co-authors include Philip S. Yu, Sihong Xie, Lifang He, Xiangnan Kong, Weixiang Shao, Ann Ragin, Guixiang Ma, Jian Wu, Tingting Liang and Congying Xia and has published in prestigious journals such as Knowledge and Information Systems, CiteSeer X (The Pennsylvania State University) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Chun-Ta Lu i

Fields of papers citing papers by Chun-Ta Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Ta Lu. 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 Chun-Ta Lu. The network helps show where Chun-Ta Lu may publish in the future.

Countries citing papers authored by Chun-Ta Lu

Since Specialization
Citations

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