Chen‐Han Chien

2.4k citations
30 papers · 2.1k · h-index 23

Impact in

Papers in

Chen‐Han Chien

30 papers receiving 2.1k citations

Peers

Chen‐Han Chien
Comparison fields: 5 of 53
  • Polymers and Plastics 729
  • Electrical and Electronic Engineering 1.7k
  • Materials Chemistry 1.1k
  • Organic Chemistry 418
  • Physical and Theoretical Chemistry 70
Replace Aniket Datar with:
Aniket Datar United States
Jingyu Qian China
Henrike Wonneberger Germany
Debangshu Chaudhuri India
Anne Köhnen Germany
Charles Chi Wang Law Hong Kong
Agustín Molina‐Ontoria Spain
Erika Kozma Italy
Zachary B. Henson United States
Baoxiu Mi China
Chen‐Han Chien relative to Aniket Datar United States Aniket Datar's profile →
Citations per field
00.5×1.7×
Aniket Datar · 1×
Citations per year

Countries citing papers authored by Chen‐Han Chien

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Han Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Han Chien. 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 Chen‐Han Chien. The network helps show where Chen‐Han Chien may publish in the future.

Co-authors

The 25 scholars most cited alongside Chen‐Han Chien, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chen‐Han Chien Line = papers co-authored together Chen‐Han Chien links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010262
2 2009235
3 2009199
4 2007137
5 2009134
6 2009103
7 200994
8 200685
9 200982
10 200873
11 200871
12 201370
13 200560
14 200959
15 201055
16 201655
17 200851
18 200544
19 200442
20 200841

About Chen‐Han Chien

Chen‐Han Chien is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry, Organic Chemistry and Cognitive Neuroscience, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Organic Light-Emitting Diodes Research (21 papers), Organic Electronics and Photovoltaics (16 papers), Conducting polymers and applications (14 papers), Luminescence and Fluorescent Materials (8 papers), Neural dynamics and brain function (3 papers), Advanced Memory and Neural Computing (3 papers), Supramolecular Self-Assembly in Materials (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Polymers and Plastics (729 citations), Electrical and Electronic Engineering (1.7k citations), Materials Chemistry (1.1k citations), Organic Chemistry (418 citations) and Physical and Theoretical Chemistry (70 citations). Chen‐Han Chien has collaborated with scholars based in Taiwan, Germany and Switzerland. Frequent co-authors include Ching‐Fong Shu, Ping‐I Shih, F Hsu, Pi‐Tai Chou, Yün Chi, Chin‐Hung Lai, Fang‐Ming Hsu, Luisa De Cola, Cristian A. Strassert and Chen‐Hao Wu. Their work appears in journals such as Advanced Functional Materials, Journal of Materials Chemistry, Journal of Polymer Science Part A Polymer Chemistry, Macromolecules and Chemistry of Materials.

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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