Shun‐Hsiang Chan

44 total papers · 936 total citations
34 papers, 820 citations indexed

About

Shun‐Hsiang Chan is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Shun‐Hsiang Chan has authored 34 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 20 papers in Polymers and Plastics and 13 papers in Materials Chemistry. Recurrent topics in Shun‐Hsiang Chan's work include Perovskite Materials and Applications (21 papers), Conducting polymers and applications (20 papers) and Advanced Sensor and Energy Harvesting Materials (8 papers). Shun‐Hsiang Chan is often cited by papers focused on Perovskite Materials and Applications (21 papers), Conducting polymers and applications (20 papers) and Advanced Sensor and Energy Harvesting Materials (8 papers). Shun‐Hsiang Chan collaborates with scholars based in Taiwan, India and China. Shun‐Hsiang Chan's co-authors include Ming‐Chung Wu, Wei‐Fang Su, Kun‐Mu Lee, Meng‐Huan Jao, Yin‐Hsuan Chang, Shih‐Hsuan Chen, Kai‐Chi Hsiao, Wei‐Cheng Chen, Wei‐Cheng Chen and Yang‐Fang Chen and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Shun‐Hsiang Chan

34 papers receiving 811 citations

Author Peers

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

Author						Papers	Cites
Shun‐Hsiang Chan	625	456	351	160	105	34	820
Huanqi Cao	721 1.2×	475 1.0×	334 1.0×	248 1.6×	136 1.3×	36	1.0k
Xingyue Zhao	752 1.2×	475 1.0×	412 1.2×	64 0.4×	137 1.3×	25	918
Hanjun Yang	593 0.9×	296 0.6×	438 1.2×	172 1.1×	294 2.8×	34	1.0k
Shiyuan Wei	769 1.2×	554 1.2×	268 0.8×	86 0.5×	120 1.1×	34	1.0k
Younggul Song	700 1.1×	480 1.1×	253 0.7×	43 0.3×	170 1.6×	37	947
Shitan Wang	799 1.3×	461 1.0×	264 0.8×	55 0.3×	124 1.2×	35	959
Seunghyup Lee	746 1.2×	316 0.7×	305 0.9×	41 0.3×	161 1.5×	41	950
Tao Shen	477 0.8×	427 0.9×	98 0.3×	248 1.6×	179 1.7×	25	917
Tim Leydecker	603 1.0×	474 1.0×	245 0.7×	49 0.3×	224 2.1×	27	977
Yu-Ting Huang	706 1.1×	327 0.7×	207 0.6×	78 0.5×	124 1.2×	22	874

Countries citing papers authored by Shun‐Hsiang Chan

Since Specialization

Citations

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

Fields of papers citing papers by Shun‐Hsiang Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shun‐Hsiang Chan. 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 Shun‐Hsiang Chan. The network helps show where Shun‐Hsiang Chan may publish in the future.

Co-authorship network of co-authors of Shun‐Hsiang Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Hsiang Chan. A scholar is included among the top collaborators of Shun‐Hsiang Chan 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 Shun‐Hsiang Chan. Shun‐Hsiang Chan 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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