Long Tian

51 total papers · 874 total citations
29 papers, 649 citations indexed

About

Long Tian is a scholar working on Biomedical Engineering, Biomaterials and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Long Tian has authored 29 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Biomaterials and 6 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Long Tian's work include Advanced Sensor and Energy Harvesting Materials (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Iron-based superconductors research (6 papers). Long Tian is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Iron-based superconductors research (6 papers). Long Tian collaborates with scholars based in China, United States and France. Long Tian's co-authors include Zhijuan Pan, Jinmiao Zhang, Shuxuan Li, Can Li, Baowei Su, Michael Z. Hu, Boris A. Vinatzer, Lenwood S. Heath, Tao Yan and Shengfu Ji and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Nature Communications.

In The Last Decade

Long Tian

28 papers receiving 641 citations

Author Peers

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

Author						Papers	Cites
Long Tian	246	191	185	158	118	29	649
Jiaqi Yan	136 0.6×	49 0.3×	190 1.0×	123 0.8×	59 0.5×	34	663
Qingquan Tang	154 0.6×	126 0.7×	156 0.8×	91 0.6×	72 0.6×	44	603
Ranjan Sengupta	143 0.6×	63 0.3×	137 0.7×	235 1.5×	21 0.2×	23	729
Zhi Ding	350 1.4×	44 0.2×	197 1.1×	31 0.2×	141 1.2×	19	688
Myung Seok Oh	366 1.5×	58 0.3×	202 1.1×	80 0.5×	83 0.7×	19	770
Fengxiang Chen	158 0.6×	22 0.1×	148 0.8×	58 0.4×	90 0.8×	30	663
Kristen S. Williams	184 0.7×	19 0.1×	304 1.6×	83 0.5×	452 3.8×	22	783
Shuzo Yamashita	165 0.7×	150 0.8×	162 0.9×	226 1.4×	118 1.0×	38	669
H. Bauser	170 0.7×	134 0.7×	123 0.7×	77 0.5×	38 0.3×	29	562
Fan Yang	185 0.8×	27 0.1×	163 0.9×	47 0.3×	149 1.3×	41	637

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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