Ling Tian

89 papers and 1.2k indexed citations i.

About

Ling Tian is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ling Tian has authored 89 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 15 papers in Computer Networks and Communications. Recurrent topics in Ling Tian’s work include Privacy-Preserving Technologies in Data (16 papers), Mobile Crowdsensing and Crowdsourcing (11 papers) and Advanced Graph Neural Networks (10 papers). Ling Tian is often cited by papers focused on Privacy-Preserving Technologies in Data (16 papers), Mobile Crowdsensing and Crowdsourcing (11 papers) and Advanced Graph Neural Networks (10 papers). Ling Tian collaborates with scholars based in China, United States and Canada. Ling Tian's co-authors include Guangchun Luo, Zhao Kang, Yimin Zhou, Zhipeng Cai, Lizong Zhang, Guangyi Chen, Shen‐En Qian, Ke Qin, Ce Zhu and Xin Jin and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Ling Tian i

Fields of papers citing papers by Ling Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ling Tian

Since Specialization
Citations

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