Ying Tian

261 total papers · 9.1k total citations
204 papers, 7.8k citations indexed

About

Ying Tian is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Ying Tian has authored 204 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Materials Chemistry, 76 papers in Electrical and Electronic Engineering and 25 papers in Biomedical Engineering. Recurrent topics in Ying Tian's work include Luminescence Properties of Advanced Materials (60 papers), Carbon Nanotubes in Composites (29 papers) and Perovskite Materials and Applications (26 papers). Ying Tian is often cited by papers focused on Luminescence Properties of Advanced Materials (60 papers), Carbon Nanotubes in Composites (29 papers) and Perovskite Materials and Applications (26 papers). Ying Tian collaborates with scholars based in China, Finland and United States. Ying Tian's co-authors include Esko I. Kauppinen, Jue Zhang, Ruonan Ma, Jun Lin, Guogang Li, Yun Zhao, Albert G. Nasibulin, Jing Fang, Hua Jiang and Marina Y. Timmermans and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Chemical Society Reviews.

In The Last Decade

Ying Tian

187 papers receiving 7.7k citations

Hit Papers

Recent progress in lumine... 2011 2026 2016 2021 2015 2011 2015 2016 2015 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ying Tian 4.3k 3.5k 1.7k 1.2k 581 204 7.8k
Jing Zhou 6.7k 1.6× 1.7k 0.5× 275 0.2× 4.4k 3.6× 570 1.0× 185 10.7k
Tae Jung Park 3.9k 0.9× 2.9k 0.8× 285 0.2× 4.1k 3.4× 459 0.8× 341 9.9k
M. Ghoranneviss 1.5k 0.4× 999 0.3× 386 0.2× 690 0.6× 280 0.5× 316 3.7k
Han S. Uhm 890 0.2× 2.7k 0.8× 2.7k 1.6× 405 0.3× 243 0.4× 216 4.9k
Kateryna Bazaka 2.1k 0.5× 2.8k 0.8× 1.7k 1.0× 2.1k 1.8× 517 0.9× 164 7.8k
Uroš Cvelbar 2.7k 0.6× 2.9k 0.8× 1.6k 1.0× 2.0k 1.6× 578 1.0× 242 7.7k
Nigel Kirby 2.1k 0.5× 894 0.3× 142 0.1× 1.1k 0.9× 95 0.2× 177 6.5k
Seok Jae Lee 1.4k 0.3× 1.2k 0.3× 261 0.2× 1.5k 1.3× 132 0.2× 214 4.4k
Xinwei Wang 3.7k 0.9× 5.5k 1.5× 147 0.1× 1.7k 1.4× 2.7k 4.7× 350 10.2k
Anton Nikiforov 1.4k 0.3× 2.5k 0.7× 2.8k 1.7× 848 0.7× 519 0.9× 191 5.4k

Countries citing papers authored by Ying Tian

Since Specialization
Citations

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

Fields of papers citing papers by Ying Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Tian

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

All Works

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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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