Suk Fun Chin

116 total papers · 3.8k total citations
95 papers, 3.0k citations indexed

About

Suk Fun Chin is a scholar working on Biomaterials, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Suk Fun Chin has authored 95 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomaterials, 29 papers in Materials Chemistry and 21 papers in Electrical and Electronic Engineering. Recurrent topics in Suk Fun Chin's work include Advanced Cellulose Research Studies (16 papers), Carbon and Quantum Dots Applications (10 papers) and Hydrogels: synthesis, properties, applications (10 papers). Suk Fun Chin is often cited by papers focused on Advanced Cellulose Research Studies (16 papers), Carbon and Quantum Dots Applications (10 papers) and Hydrogels: synthesis, properties, applications (10 papers). Suk Fun Chin collaborates with scholars based in Malaysia, Australia and Ghana. Suk Fun Chin's co-authors include Suh Cem Pang, Sing Muk Ng, Ain Nadirah Binti Romainor, Marc A. Anderson, Colin L. Raston, Siti Nur Akmar Mohd Yazid, K. Swaminathan Iyer, Suh-Cem Pang, Boon Siong Wee and Kuan Ying Kok and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Journal of The Electrochemical Society.

In The Last Decade

Suk Fun Chin

92 papers receiving 3.0k citations

Author Peers

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

Author						Papers	Cites
Suk Fun Chin	1.2k	849	622	567	391	95	3.0k
Mingzhu Liu	1.3k 1.1×	818 1.0×	706 1.1×	653 1.2×	240 0.6×	142	3.9k
Rakesh K. Mishra	929 0.8×	648 0.8×	343 0.6×	314 0.6×	280 0.7×	100	3.1k
Huan Liu	1.4k 1.2×	971 1.1×	1.0k 1.6×	1.1k 1.9×	335 0.9×	103	3.7k
Caiqin Qin	713 0.6×	1.0k 1.2×	669 1.1×	830 1.5×	335 0.9×	108	3.7k
Yanjuan Zhang	1.1k 0.9×	602 0.7×	1.1k 1.7×	406 0.7×	354 0.9×	151	3.7k
Zuqiang Huang	1.1k 1.0×	723 0.9×	1.0k 1.7×	495 0.9×	207 0.5×	154	3.8k
Dibyendu Mondal	1.4k 1.2×	1.0k 1.2×	1.4k 2.2×	765 1.3×	616 1.6×	112	5.3k
Shilin Liu	982 0.9×	2.0k 2.4×	864 1.4×	390 0.7×	363 0.9×	88	4.1k
Yaping Zhao	1.1k 1.0×	356 0.4×	1.1k 1.7×	491 0.9×	375 1.0×	133	3.5k
Houbin Li	781 0.7×	956 1.1×	650 1.0×	666 1.2×	257 0.7×	119	3.0k

Countries citing papers authored by Suk Fun Chin

Since Specialization

Citations

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

Fields of papers citing papers by Suk Fun Chin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suk Fun Chin. 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 Suk Fun Chin. The network helps show where Suk Fun Chin may publish in the future.

Co-authorship network of co-authors of Suk Fun Chin

This figure shows the co-authorship network connecting the top 25 collaborators of Suk Fun Chin. A scholar is included among the top collaborators of Suk Fun Chin 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 Suk Fun Chin. Suk Fun Chin 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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