Ling Dai

12 papers and 418 indexed citations i.

About

Ling Dai is a scholar working on Organic Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Ling Dai has authored 12 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 5 papers in Mechanical Engineering and 2 papers in Mechanics of Materials. Recurrent topics in Ling Dai’s work include Catalytic C–H Functionalization Methods (6 papers), Catalytic Cross-Coupling Reactions (5 papers) and Additive Manufacturing and 3D Printing Technologies (2 papers). Ling Dai is often cited by papers focused on Catalytic C–H Functionalization Methods (6 papers), Catalytic Cross-Coupling Reactions (5 papers) and Additive Manufacturing and 3D Printing Technologies (2 papers). Ling Dai collaborates with scholars based in China and United States. Ling Dai's co-authors include Ling Zhong, Yuanli Bai, Yinlin Shao, Jiuxi Chen, Shuling Yu, Zhongyan Chen, Tong Xu, Ningning Lv, Tianxing Cheng and Renhao Li and has published in prestigious journals such as Chemical Communications, The Journal of Organic Chemistry and Organic Letters.

In The Last Decade

Co-authorship network of co-authors of Ling Dai i

Fields of papers citing papers by Ling Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Dai

Since Specialization
Citations

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