Liang Chang

165 papers and 1.6k indexed citations i.

About

Liang Chang is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Liang Chang has authored 165 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Artificial Intelligence, 42 papers in Information Systems and 35 papers in Computer Networks and Communications. Recurrent topics in Liang Chang’s work include Advanced Graph Neural Networks (20 papers), Recommender Systems and Techniques (18 papers) and Topic Modeling (14 papers). Liang Chang is often cited by papers focused on Advanced Graph Neural Networks (20 papers), Recommender Systems and Techniques (18 papers) and Topic Modeling (14 papers). Liang Chang collaborates with scholars based in China, United States and Australia. Liang Chang's co-authors include Yining Liu, Chi Cheng, Tianlong Gu, Li Li, Tianlong Gu, Wei Guo, Chun‐I Fan, Lirong Dou, Enbo Wang and Huifang Ma and has published in prestigious journals such as Scientific Reports, Atmospheric Environment and Expert Systems with Applications.

In The Last Decade

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

Fields of papers citing papers by Liang Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liang Chang

Since Specialization
Citations

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