Chunjin Ai

12 papers and 331 indexed citations
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About

Chunjin Ai is a scholar working on Organic Chemistry, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, Chunjin Ai has authored 12 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 5 papers in Electrical and Electronic Engineering and 3 papers in Polymers and Plastics. Recurrent topics in Chunjin Ai’s work include Synthetic Organic Chemistry Methods (4 papers), Fuel Cells and Related Materials (4 papers) and Asphalt Pavement Performance Evaluation (2 papers). Chunjin Ai is often cited by papers focused on Synthetic Organic Chemistry Methods (4 papers), Fuel Cells and Related Materials (4 papers) and Asphalt Pavement Performance Evaluation (2 papers). Chunjin Ai collaborates with scholars based in China, Hong Kong and Germany. Chunjin Ai's co-authors include Peng Liu, Feng Xiong, Yuhong Wang, Guangbi Gong, Dawei Wang, Peng Liu, Giin-Yu Amy Tan, Peng Liu, Baiquan Wang and Haibin Song and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Cleaner Production and Industrial & Engineering Chemistry Research.

In The Last Decade

Co-authorship network of co-authors of Chunjin Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Chunjin Ai. A scholar is included among the top collaborators of Chunjin Ai 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 Chunjin Ai. Chunjin Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Chunjin Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chunjin Ai

Since Specialization
Citations

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