Chia‐Hung Wu

26 total papers · 419 total citations
18 papers, 344 citations indexed

About

Chia‐Hung Wu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Chia‐Hung Wu has authored 18 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 9 papers in Biomedical Engineering and 7 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Chia‐Hung Wu's work include Plasmonic and Surface Plasmon Research (5 papers), Graphene research and applications (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). Chia‐Hung Wu is often cited by papers focused on Plasmonic and Surface Plasmon Research (5 papers), Graphene research and applications (4 papers) and Gold and Silver Nanoparticles Synthesis and Applications (3 papers). Chia‐Hung Wu collaborates with scholars based in Taiwan, United States and Japan. Chia‐Hung Wu's co-authors include Yih-Ming Liu, Nen‐Wen Pu, Ming-Der Ger, Chun-Yu Chen, Sheng-Yao Huang, You-Yu Peng, Ming‐Hsien Lin, Ray T. Chen, Kuo‐Ping Chen and Tien‐Chang Lu and has published in prestigious journals such as Nano Letters, Journal of Applied Physics and The Journal of Physical Chemistry C.

In The Last Decade

Chia‐Hung Wu

16 papers receiving 335 citations

Author Peers

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

Author						Papers	Cites
Chia‐Hung Wu	239	154	107	80	78	18	344
Jae Ryung Choi	175 0.7×	110 0.7×	110 1.0×	96 1.2×	69 0.9×	21	329
Mustaffa Hj. Abdullah	240 1.0×	89 0.6×	143 1.3×	63 0.8×	90 1.2×	13	388
Yuan Li	265 1.1×	96 0.6×	121 1.1×	73 0.9×	99 1.3×	17	370
Zicheng Song	253 1.1×	217 1.4×	53 0.5×	71 0.9×	45 0.6×	23	378
Joonmo Ahn	225 0.9×	106 0.7×	136 1.3×	130 1.6×	50 0.6×	13	387
Yu‐Chen Zheng	201 0.8×	95 0.6×	110 1.0×	71 0.9×	57 0.7×	14	320
Adriana Medeiros Gama	234 1.0×	91 0.6×	127 1.2×	133 1.7×	70 0.9×	14	349
Haihan Zou	189 0.8×	112 0.7×	100 0.9×	40 0.5×	129 1.7×	13	347
Junzhe He	227 0.9×	136 0.9×	104 1.0×	40 0.5×	134 1.7×	11	374
Siyuan Li	293 1.2×	200 1.3×	104 1.0×	35 0.4×	33 0.4×	20	380

Countries citing papers authored by Chia‐Hung Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chia‐Hung Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Hung Wu. 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 Chia‐Hung Wu. The network helps show where Chia‐Hung Wu may publish in the future.

Co-authorship network of co-authors of Chia‐Hung Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Hung Wu. A scholar is included among the top collaborators of Chia‐Hung Wu 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 Chia‐Hung Wu. Chia‐Hung Wu 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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