Chao Chang

8 papers and 49 indexed citations i.

About

Chao Chang is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Chao Chang has authored 8 papers receiving a total of 49 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Chao Chang’s work include Advanced Graph Neural Networks (6 papers), Topic Modeling (4 papers) and Recommender Systems and Techniques (3 papers). Chao Chang is often cited by papers focused on Advanced Graph Neural Networks (6 papers), Topic Modeling (4 papers) and Recommender Systems and Techniques (3 papers). Chao Chang collaborates with scholars based in China and Denmark. Chao Chang's co-authors include Yong Tang, Chang‐Dong Wang, G.B. Hagemann, T. Yamazaki, Ling Huang, Yuefang Gao, Caixing Liu, Ye Zhu, Kun Hu and Xiangwei Zeng and has published in prestigious journals such as Coordination Chemistry Reviews, Scientific Reports and Nuclear Physics A.

In The Last Decade

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

Fields of papers citing papers by Chao Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chao Chang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025