Chang Lü

14 papers and 363 indexed citations i.

About

Chang Lü is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Epidemiology. According to data from OpenAlex, Chang Lü has authored 14 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Epidemiology. Recurrent topics in Chang Lü’s work include Machine Learning in Healthcare (4 papers), Topic Modeling (3 papers) and Image Retrieval and Classification Techniques (2 papers). Chang Lü is often cited by papers focused on Machine Learning in Healthcare (4 papers), Topic Modeling (3 papers) and Image Retrieval and Classification Techniques (2 papers). Chang Lü collaborates with scholars based in China, United States and Japan. Chang Lü's co-authors include Kay Chen Tan, Yaochu Jin, Xingyi Zhang, Ye Tian, Chandan K. Reddy, Yue Ning, Samantha Kleinberg, Prithwish Chakraborty, Lin Li and Yang Wu and has published in prestigious journals such as IEEE Transactions on Image Processing, Construction and Building Materials and IEEE Transactions on Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Chang Lü i

Fields of papers citing papers by Chang Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chang Lü

Since Specialization
Citations

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