Feiyang Wang

24 papers and 354 indexed citations i.

About

Feiyang Wang is a scholar working on Artificial Intelligence, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Feiyang Wang has authored 24 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Materials Chemistry. Recurrent topics in Feiyang Wang’s work include Advanced Graph Neural Networks (8 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Complex Network Analysis Techniques (4 papers). Feiyang Wang is often cited by papers focused on Advanced Graph Neural Networks (8 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Complex Network Analysis Techniques (4 papers). Feiyang Wang collaborates with scholars based in China, United States and United Kingdom. Feiyang Wang's co-authors include Yuexiang Lu, Yueying Liu, Ying Chen, Liuying He, Jingwei Sun, Wenjie Jing, Zhongbao Zhang, Philip S. Yu, Li Sun and Jia‐Cheng E. Yang and has published in prestigious journals such as Analytica Chimica Acta, The Analyst and ACS Sustainable Chemistry & Engineering.

In The Last Decade

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

Fields of papers citing papers by Feiyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feiyang Wang

Since Specialization
Citations

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