Peng Yang

110 papers and 2.1k indexed citations i.

About

Peng Yang is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Peng Yang has authored 110 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 24 papers in Industrial and Manufacturing Engineering and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Peng Yang’s work include Advanced Manufacturing and Logistics Optimization (18 papers), Optimization and Packing Problems (17 papers) and Metaheuristic Optimization Algorithms Research (17 papers). Peng Yang is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (18 papers), Optimization and Packing Problems (17 papers) and Metaheuristic Optimization Algorithms Research (17 papers). Peng Yang collaborates with scholars based in China, United States and United Kingdom. Peng Yang's co-authors include Ke Tang, Lixin Miao, Xin Yao, Zhaojie Xue, José A. Lozano, Wanneng Yang, Guoxing Chen, Lizhong Xiong, Sun-Wei Li and Haifu Tu and has published in prestigious journals such as Scientific Reports, Food Chemistry and IEEE Transactions on Signal Processing.

In The Last Decade

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

Fields of papers citing papers by Peng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Yang

Since Specialization
Citations

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