Can Wang

177 papers and 2.7k indexed citations i.

About

Can Wang is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Can Wang has authored 177 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Artificial Intelligence, 44 papers in Information Systems and 33 papers in Statistical and Nonlinear Physics. Recurrent topics in Can Wang’s work include Complex Network Analysis Techniques (32 papers), Recommender Systems and Techniques (28 papers) and Advanced Graph Neural Networks (23 papers). Can Wang is often cited by papers focused on Complex Network Analysis Techniques (32 papers), Recommender Systems and Techniques (28 papers) and Advanced Graph Neural Networks (23 papers). Can Wang collaborates with scholars based in China, Australia and United States. Can Wang's co-authors include Chun Chen, Jiajun Bu, Defang Chen, Feng Yan, Longbing Cao, Xiaofei He, Lijun Zhang, Weimin Li, Jian-Ping Mei and Xiaofeng Zhu and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

Co-authorship network of co-authors of Can Wang i

Fields of papers citing papers by Can Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Can Wang

Since Specialization
Citations

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