Bing Tian

76 total papers · 1.1k total citations
61 papers, 945 citations indexed

About

Bing Tian is a scholar working on Materials Chemistry, Mechanical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Bing Tian has authored 61 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Materials Chemistry, 22 papers in Mechanical Engineering and 12 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Bing Tian's work include Shape Memory Alloy Transformations (46 papers), Titanium Alloys Microstructure and Properties (19 papers) and High Entropy Alloys Studies (12 papers). Bing Tian is often cited by papers focused on Shape Memory Alloy Transformations (46 papers), Titanium Alloys Microstructure and Properties (19 papers) and High Entropy Alloys Studies (12 papers). Bing Tian collaborates with scholars based in China, United States and Australia. Bing Tian's co-authors include Yufeng Zheng, F. Chen, Y.X. Tong, Li Li, Yinong Liu, L. Li, Qizhen Li, Р. З. Валиев, Д. В. Гундеров and Ke Hu and has published in prestigious journals such as Journal of The Electrochemical Society, Chemical Communications and Materials Science and Engineering A.

In The Last Decade

Bing Tian

58 papers receiving 930 citations

Author Peers

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

Author						Papers	Cites
Bing Tian	828	394	247	65	50	61	945
J. Muntasell	749 0.9×	357 0.9×	189 0.8×	46 0.7×	59 1.2×	62	1.1k
Changlong Tan	815 1.0×	236 0.6×	431 1.7×	26 0.4×	175 3.5×	90	905
Emre Acar	711 0.9×	295 0.7×	105 0.4×	96 1.5×	24 0.5×	37	838
Nickolaus M. Bruno	826 1.0×	368 0.9×	643 2.6×	48 0.7×	31 0.6×	33	988
Bin Sun	734 0.9×	439 1.1×	56 0.2×	24 0.4×	113 2.3×	76	1.0k
Daniel Salazar	456 0.6×	192 0.5×	458 1.9×	10 0.2×	62 1.2×	65	827
Lorena González-Legarreta	334 0.4×	615 1.6×	709 2.9×	17 0.3×	85 1.7×	62	1.1k
Zhiyuan Ma	453 0.5×	253 0.6×	82 0.3×	19 0.3×	218 4.4×	47	816
Peide Han	535 0.6×	306 0.8×	206 0.8×	7 0.1×	185 3.7×	62	849
Heng Zhang	713 0.9×	196 0.5×	330 1.3×	11 0.2×	232 4.6×	39	1.1k

Countries citing papers authored by Bing Tian

Since Specialization

Citations

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

Fields of papers citing papers by Bing Tian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Tian

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