Qing‐Song Dai

17 papers and 488 indexed citations i.

About

Qing‐Song Dai is a scholar working on Organic Chemistry, Pharmaceutical Science and Industrial relations. According to data from OpenAlex, Qing‐Song Dai has authored 17 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Organic Chemistry, 1 paper in Pharmaceutical Science and 0 papers in Industrial relations. Recurrent topics in Qing‐Song Dai’s work include Catalytic C–H Functionalization Methods (12 papers), Asymmetric Synthesis and Catalysis (9 papers) and Cyclopropane Reaction Mechanisms (7 papers). Qing‐Song Dai is often cited by papers focused on Catalytic C–H Functionalization Methods (12 papers), Asymmetric Synthesis and Catalysis (9 papers) and Cyclopropane Reaction Mechanisms (7 papers). Qing‐Song Dai collaborates with scholars based in China. Qing‐Song Dai's co-authors include Jun‐Long Li, Qing‐Zhu Li, Hai‐Jun Leng, Yue Liu, Xiang Zhang, Kai‐Chuan Yang, Rong Zeng, Bo Han, Wei Huang and Hua Huang and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and Green Chemistry.

In The Last Decade

Co-authorship network of co-authors of Qing‐Song Dai i

Fields of papers citing papers by Qing‐Song Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qing‐Song Dai

Since Specialization
Citations

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