Guanhong Tao

About

Guanhong Tao is a scholar working on Artificial Intelligence, Analytical Chemistry and Signal Processing. According to data from OpenAlex, Guanhong Tao has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 20 papers in Analytical Chemistry and 12 papers in Signal Processing. Recurrent topics in Guanhong Tao’s work include Analytical chemistry methods development (20 papers), Adversarial Robustness in Machine Learning (16 papers) and Advanced Malware Detection Techniques (12 papers). Guanhong Tao is often cited by papers focused on Analytical chemistry methods development (20 papers), Adversarial Robustness in Machine Learning (16 papers) and Advanced Malware Detection Techniques (12 papers). Guanhong Tao collaborates with scholars based in China, United States and The Netherlands. Guanhong Tao's co-authors include Hongbing Ma, Zheng Fang, Scott Willie, Qin Zhao, Ralph E. Sturgeon, Yingqi Liu, Shiqing Ma, Xiangyu Zhang, Yousra Aafer and Zhao‐Lun Fang and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Hazardous Materials and Bioresource Technology.

In The Last Decade

Co-authorship network of co-authors of Guanhong Tao i

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Fields of papers citing papers by Guanhong Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guanhong Tao

Since Specialization

Citations

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