Guanghua Ai

29 papers and 771 indexed citations i.

About

Guanghua Ai is a scholar working on Water Science and Technology, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Guanghua Ai has authored 29 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Water Science and Technology, 15 papers in Biomedical Engineering and 15 papers in Mechanical Engineering. Recurrent topics in Guanghua Ai’s work include Minerals Flotation and Separation Techniques (24 papers), Metal Extraction and Bioleaching (15 papers) and Extraction and Separation Processes (8 papers). Guanghua Ai is often cited by papers focused on Minerals Flotation and Separation Techniques (24 papers), Metal Extraction and Bioleaching (15 papers) and Extraction and Separation Processes (8 papers). Guanghua Ai collaborates with scholars based in China, United States and Australia. Guanghua Ai's co-authors include Cheng Liu, Shaoxian Song, Xiuli Yang, Tingsheng Qiu, Huashan Yan, Qingsheng Liu, Wencai Zhang, Hongqiang Li, Siyuan Yang and Xiaobo Li and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Alloys and Compounds and Separation and Purification Technology.

In The Last Decade

Co-authorship network of co-authors of Guanghua Ai i

Fields of papers citing papers by Guanghua Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guanghua Ai

Since Specialization
Citations

This map shows the geographic impact of Guanghua 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 Guanghua Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanghua 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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2025