Jing Bai

61 papers and 762 indexed citations
i
.

About

Jing Bai is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Jing Bai has authored 61 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 16 papers in Computational Mechanics and 13 papers in Artificial Intelligence. Recurrent topics in Jing Bai’s work include 3D Shape Modeling and Analysis (15 papers), 3D Surveying and Cultural Heritage (10 papers) and Manufacturing Process and Optimization (9 papers). Jing Bai is often cited by papers focused on 3D Shape Modeling and Analysis (15 papers), 3D Surveying and Cultural Heritage (10 papers) and Manufacturing Process and Optimization (9 papers). Jing Bai collaborates with scholars based in China, United States and France. Jing Bai's co-authors include Shuming Gao, Song Guo, Feiwei Qin, Xiang Chen, Yusheng Liu, Aiguo Song, Weihua Tang, Yujing Wang, Benoît Eynard and Chen Zheng and has published in prestigious journals such as Scientific Reports, Annals of Oncology and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Jing Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Bai. A scholar is included among the top collaborators of Jing Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Bai. Jing Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Jing Bai

57 papers receiving 731 citations

Fields of papers citing papers by Jing Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Bai

Since Specialization
Citations

This map shows the geographic impact of Jing 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 Jing Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing 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
2026