Gan Lin Hwang

8 total papers · 482 total citations
7 papers, 382 citations indexed

About

Gan Lin Hwang is a scholar working on Materials Chemistry, Organic Chemistry and Polymers and Plastics. According to data from OpenAlex, Gan Lin Hwang has authored 7 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 2 papers in Organic Chemistry and 2 papers in Polymers and Plastics. Recurrent topics in Gan Lin Hwang's work include Carbon Nanotubes in Composites (6 papers), Fullerene Chemistry and Applications (2 papers) and Graphene research and applications (2 papers). Gan Lin Hwang is often cited by papers focused on Carbon Nanotubes in Composites (6 papers), Fullerene Chemistry and Applications (2 papers) and Graphene research and applications (2 papers). Gan Lin Hwang collaborates with scholars based in Taiwan and United States. Gan Lin Hwang's co-authors include Kuo Chu Hwang, Yeong‐Tarng Shieh, Su‐Jien Lin, Chi Wang, Hsin‐Yi Wu, Jia‐Yaw Chang, J. W. Chiou, Wei-Lun Huang, Yuan‐Chih Chang and Jinghua Guo and has published in prestigious journals such as Advanced Materials, Nano Letters and Chemistry of Materials.

In The Last Decade

Gan Lin Hwang

7 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Gan Lin Hwang	303	186	97	55	40	7	382
Spiros Tzavalas	289 1.0×	185 1.0×	112 1.2×	61 1.1×	46 1.1×	10	432
Jiangsha Meng	228 0.8×	157 0.8×	114 1.2×	129 2.3×	30 0.8×	7	388
Xiao Mei Shi	255 0.8×	203 1.1×	113 1.2×	75 1.4×	35 0.9×	6	391
Subramanyam Kasisomayajula	161 0.5×	210 1.1×	134 1.4×	54 1.0×	82 2.0×	8	380
Stephen J. Grunzinger	197 0.7×	194 1.0×	51 0.5×	37 0.7×	55 1.4×	10	371
Junjin Che	246 0.8×	127 0.7×	162 1.7×	84 1.5×	18 0.5×	10	406
Navid Tajaddod	193 0.6×	176 0.9×	92 0.9×	113 2.1×	38 0.9×	7	371
H. Varela‐Rizo	293 1.0×	121 0.7×	147 1.5×	83 1.5×	103 2.6×	13	441
Saša Skale	198 0.7×	123 0.7×	46 0.5×	34 0.6×	69 1.7×	9	358
V. Reguero	299 1.0×	123 0.7×	105 1.1×	107 1.9×	77 1.9×	8	430

Countries citing papers authored by Gan Lin Hwang

Since Specialization

Citations

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

Fields of papers citing papers by Gan Lin Hwang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gan Lin Hwang. 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 Gan Lin Hwang. The network helps show where Gan Lin Hwang may publish in the future.

Co-authorship network of co-authors of Gan Lin Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Gan Lin Hwang. A scholar is included among the top collaborators of Gan Lin Hwang 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 Gan Lin Hwang. Gan Lin Hwang 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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