Jun Guo

75 papers and 1.1k indexed citations i.

About

Jun Guo is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Jun Guo has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Industrial and Manufacturing Engineering, 17 papers in Artificial Intelligence and 9 papers in Mechanical Engineering. Recurrent topics in Jun Guo’s work include Manufacturing Process and Optimization (16 papers), Scheduling and Optimization Algorithms (13 papers) and Advanced Manufacturing and Logistics Optimization (12 papers). Jun Guo is often cited by papers focused on Manufacturing Process and Optimization (16 papers), Scheduling and Optimization Algorithms (13 papers) and Advanced Manufacturing and Logistics Optimization (12 papers). Jun Guo collaborates with scholars based in China, United States and Japan. Jun Guo's co-authors include Baigang Du, Shunsheng Guo, Xiaorong Huang, Xiaobing Yu, Yibing Li, Wenxiang Xu, Kejia Zhuang, Xixing Li, Zhao Peng and Lei Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Jun Guo i

Fields of papers citing papers by Jun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Guo

Since Specialization
Citations

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