Tian Mai

26 total papers · 915 total citations
21 papers, 708 citations indexed

About

Tian Mai is a scholar working on Electronic, Optical and Magnetic Materials, Aerospace Engineering and Materials Chemistry. According to data from OpenAlex, Tian Mai has authored 21 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electronic, Optical and Magnetic Materials, 8 papers in Aerospace Engineering and 7 papers in Materials Chemistry. Recurrent topics in Tian Mai's work include Electromagnetic wave absorption materials (9 papers), Advanced Antenna and Metasurface Technologies (8 papers) and MXene and MAX Phase Materials (5 papers). Tian Mai is often cited by papers focused on Electromagnetic wave absorption materials (9 papers), Advanced Antenna and Metasurface Technologies (8 papers) and MXene and MAX Phase Materials (5 papers). Tian Mai collaborates with scholars based in China, United States and United Kingdom. Tian Mai's co-authors include Ming‐Guo Ma, Peilin Wang, Qi Yuan, Meng‐Yu Qi, Lei Chen, Chang Ma, Lingzhi Huang, Yan Ding, Qi Liu and Wei Zhang and has published in prestigious journals such as Advanced Functional Materials, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Tian Mai

20 papers receiving 701 citations

Author Peers

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

Author						Papers	Cites
Tian Mai	255	233	220	143	130	21	708
Wenwei Zhan	300 1.2×	229 1.0×	261 1.2×	60 0.4×	114 0.9×	17	801
Ming Xia	180 0.7×	246 1.1×	140 0.6×	130 0.9×	79 0.6×	39	738
Varsha D. Phadtare	312 1.2×	140 0.6×	385 1.8×	170 1.2×	136 1.0×	34	809
Jialiang Luo	363 1.4×	157 0.7×	259 1.2×	159 1.1×	272 2.1×	28	878
Yinglai Hou	273 1.1×	174 0.7×	142 0.6×	76 0.5×	162 1.2×	13	640
Xiaohan Wu	252 1.0×	155 0.7×	234 1.1×	152 1.1×	128 1.0×	22	739
Huan Yuan	137 0.5×	145 0.6×	233 1.1×	217 1.5×	72 0.6×	32	650
Longfei Yi	246 1.0×	265 1.1×	274 1.2×	57 0.4×	105 0.8×	36	880
Shuangjie Sun	142 0.6×	178 0.8×	74 0.3×	222 1.6×	100 0.8×	13	650
Yunzhe Du	173 0.7×	211 0.9×	309 1.4×	44 0.3×	128 1.0×	24	743

Countries citing papers authored by Tian Mai

Since Specialization

Citations

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

Fields of papers citing papers by Tian Mai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Mai

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