Yang Yan

35 papers and 310 indexed citations i.

About

Yang Yan is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Yang Yan has authored 35 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Electrical and Electronic Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Yang Yan’s work include Computational Drug Discovery Methods (6 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and Coding theory and cryptography (4 papers). Yang Yan is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and Coding theory and cryptography (4 papers). Yang Yan collaborates with scholars based in China, United States and Macao. Yang Yan's co-authors include Xinghao Ding, Zhenqi Fu, Xingye Chen, Yanmin Zhang, Yadong Chen, Haichun Liu, Jianwei Huang, Kai‐Kuang Ma, Xiaotong Tu and Yue Huang and has published in prestigious journals such as Sensors, IEEE Journal on Selected Areas in Communications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Yang Yan i

Fields of papers citing papers by Yang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yang Yan

Since Specialization
Citations

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