Suyun Tian

15 total papers · 565 total citations
13 papers, 488 citations indexed

About

Suyun Tian is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Suyun Tian has authored 13 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 7 papers in Electronic, Optical and Magnetic Materials and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Suyun Tian's work include Graphene research and applications (10 papers), Advancements in Battery Materials (6 papers) and Supercapacitor Materials and Fabrication (5 papers). Suyun Tian is often cited by papers focused on Graphene research and applications (10 papers), Advancements in Battery Materials (6 papers) and Supercapacitor Materials and Fabrication (5 papers). Suyun Tian collaborates with scholars based in China, Taiwan and United States. Suyun Tian's co-authors include Xiaoming Xie, Peng He, Siwei Yang, Guqiao Ding, Mianheng Jiang, Jing Sun, Guqiao Ding, Jing Sun, Haomin Wang and Lingxiu Chen and has published in prestigious journals such as Chemistry of Materials, Langmuir and Chemical Communications.

In The Last Decade

Suyun Tian

10 papers receiving 478 citations

Author Peers

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

Author						Papers	Cites
Suyun Tian	391	218	163	117	40	13	488
Woojae Jeong	315 0.8×	210 1.0×	142 0.9×	113 1.0×	30 0.8×	14	445
Ben Cottam	261 0.7×	232 1.1×	126 0.8×	106 0.9×	45 1.1×	9	451
Yu Li	321 0.8×	148 0.7×	178 1.1×	117 1.0×	91 2.3×	15	550
Salisu Nasir	248 0.6×	172 0.8×	134 0.8×	102 0.9×	54 1.4×	11	451
Matilde Eredia	297 0.8×	202 0.9×	246 1.5×	117 1.0×	105 2.6×	18	542
Maryam Saeed	242 0.6×	162 0.7×	170 1.0×	90 0.8×	66 1.6×	12	439
Pei Yu	410 1.0×	171 0.8×	301 1.8×	166 1.4×	56 1.4×	13	538
M. S. Kala	257 0.7×	307 1.4×	119 0.7×	174 1.5×	66 1.6×	21	516
Shabana Shams	344 0.9×	159 0.7×	134 0.8×	129 1.1×	71 1.8×	12	540
Hina Y. Abbasi	254 0.6×	172 0.8×	202 1.2×	99 0.8×	82 2.0×	9	468

Countries citing papers authored by Suyun Tian

Since Specialization

Citations

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

Fields of papers citing papers by Suyun Tian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suyun Tian

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