Long Tian

58 total papers · 1.1k total citations
53 papers, 833 citations indexed

About

Long Tian is a scholar working on Materials Chemistry, Water Science and Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Long Tian has authored 53 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Materials Chemistry, 14 papers in Water Science and Technology and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Long Tian's work include Membrane Separation Technologies (12 papers), Luminescence Properties of Advanced Materials (10 papers) and Perovskite Materials and Applications (8 papers). Long Tian is often cited by papers focused on Membrane Separation Technologies (12 papers), Luminescence Properties of Advanced Materials (10 papers) and Perovskite Materials and Applications (8 papers). Long Tian collaborates with scholars based in China, United Kingdom and United States. Long Tian's co-authors include Wenzheng Yu, Nigel Graham, Baowei Su, Shuxuan Li, Peng Zhou, Liang Zhou, Danyang Zhang, Lihui Han, Daiyong Chao and Ting Liu and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Long Tian

49 papers receiving 822 citations

Author Peers

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

Author Last Decade Papers Cites
Long Tian 497 263 257 225 106 53 833
Huajian Yu 419 0.8× 260 1.0× 215 0.8× 129 0.6× 64 0.6× 48 845
Ying Zhao 327 0.7× 183 0.7× 216 0.8× 202 0.9× 39 0.4× 51 889
Sudeshna Ray 443 0.9× 289 1.1× 256 1.0× 164 0.7× 49 0.5× 40 852
Frédéric Demoisson 392 0.8× 173 0.7× 239 0.9× 492 2.2× 72 0.7× 34 964
Jianjun Li 373 0.8× 280 1.1× 144 0.6× 156 0.7× 146 1.4× 58 867
Andrada Măicăneanu 444 0.9× 379 1.4× 140 0.5× 122 0.5× 120 1.1× 48 1.0k
Michel Cassir 382 0.8× 138 0.5× 213 0.8× 137 0.6× 50 0.5× 39 800
Na Wang 592 1.2× 238 0.9× 222 0.9× 249 1.1× 230 2.2× 63 994
Yuan Fang 219 0.4× 180 0.7× 139 0.5× 170 0.8× 168 1.6× 38 753
Alexander Romanchenko 390 0.8× 203 0.8× 164 0.6× 295 1.3× 165 1.6× 44 865

Countries citing papers authored by Long Tian

Since Specialization
Citations

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

Fields of papers citing papers by Long Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Long Tian. A scholar is included among the top collaborators of Long 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 Long Tian. Long 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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