Ting Guo

34 papers and 240 indexed citations i.

About

Ting Guo is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Ting Guo has authored 34 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 5 papers in Automotive Engineering. Recurrent topics in Ting Guo’s work include Advanced Graph Neural Networks (5 papers), Complex Network Analysis Techniques (4 papers) and Advanced Battery Technologies Research (3 papers). Ting Guo is often cited by papers focused on Advanced Graph Neural Networks (5 papers), Complex Network Analysis Techniques (4 papers) and Advanced Battery Technologies Research (3 papers). Ting Guo collaborates with scholars based in China, Australia and United States. Ting Guo's co-authors include Xingquan Zhu, Chengqi Zhang, Shirui Pan, Shuihua Wang‎, Yudong Zhang, Na Yang, Yang Wang, Fang Chen, Zefan Wang and Jia Wu and has published in prestigious journals such as Applied Energy, Pattern Recognition and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Ting Guo i

Fields of papers citing papers by Ting Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ting Guo

Since Specialization
Citations

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