Guang-Chen Bai

88 papers and 2.0k indexed citations i.

About

Guang-Chen Bai is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials and Civil and Structural Engineering. According to data from OpenAlex, Guang-Chen Bai has authored 88 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Statistics, Probability and Uncertainty, 36 papers in Mechanics of Materials and 29 papers in Civil and Structural Engineering. Recurrent topics in Guang-Chen Bai’s work include Probabilistic and Robust Engineering Design (66 papers), Fatigue and fracture mechanics (28 papers) and Turbomachinery Performance and Optimization (19 papers). Guang-Chen Bai is often cited by papers focused on Probabilistic and Robust Engineering Design (66 papers), Fatigue and fracture mechanics (28 papers) and Turbomachinery Performance and Optimization (19 papers). Guang-Chen Bai collaborates with scholars based in China, Hong Kong and Italy. Guang-Chen Bai's co-authors include Cheng‐Wei Fei, Lu-Kai Song, Xueqin Li, Wenzhong Tang, Haifeng Gao, Zhiwei Guo, Yuan Ren, Jie Wen, Yat Sze Choy and Enrico Zio and has published in prestigious journals such as IEEE Access, Mechanical Systems and Signal Processing and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Co-authorship network of co-authors of Guang-Chen Bai i

Fields of papers citing papers by Guang-Chen Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-Chen Bai. 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 Guang-Chen Bai. The network helps show where Guang-Chen Bai may publish in the future.

Countries citing papers authored by Guang-Chen Bai

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025