Yuchen Fang

About

Yuchen Fang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Yuchen Fang has authored 15 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 3 papers in Management Science and Operations Research. Recurrent topics in Yuchen Fang’s work include Complex Network Analysis Techniques (3 papers), Recommender Systems and Techniques (3 papers) and Advanced Graph Neural Networks (2 papers). Yuchen Fang is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Recommender Systems and Techniques (3 papers) and Advanced Graph Neural Networks (2 papers). Yuchen Fang collaborates with scholars based in China, United States and United Kingdom. Yuchen Fang's co-authors include Weinan Zhang, Yong Yu, Jiarui Jin, Zheng Zhang, Jiarui Qin, Alexander J. Smola, Kan Ren, Jiang Bian, Tie‐Yan Liu and Weiqing Liu and has published in prestigious journals such as Applied Energy, Sensors and Energies.

In The Last Decade

Co-authorship network of co-authors of Yuchen Fang i

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Fields of papers citing papers by Yuchen Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuchen Fang

Since Specialization

Citations

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