An‐Ting Chien

972 citations
23 papers · 842 · h-index 16

Impact in

    • Conducting polymers and applications
    • Polymer Nanocomposites and Properties
    • Advanced Cellulose Research Studies
    • Electrospun Nanofibers in Biomedical Applications

Papers in

An‐Ting Chien

23 papers receiving 835 citations

Peers

An‐Ting Chien
Comparison fields: 5 of 45
  • Polymers and Plastics 391
  • Biomaterials 272
  • Electronic, Optical and Magnetic Materials 128
  • Renewable Energy, Sustainability and the Environment 102
  • Biomedical Engineering 254
Replace Phil‐Hyun Kang with:
Phil‐Hyun Kang South Korea
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Citations per field
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Citations per year

Countries citing papers authored by An‐Ting Chien

Since Specialization
Citations

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

Fields of papers citing papers by An‐Ting Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside An‐Ting 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 An‐Ting Chien Line = papers co-authored together An‐Ting Chien links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015134
2 201498
3 201278
4 201658
5 200854
6 200752
7 201552
8 200741
9 201541
10 201641
11 201328
12 200827
13 201425
14 200624
15 201320
16 200818
17 201415
18 201414
19 20067
20 20156

About An‐Ting Chien

An‐Ting Chien is a scholar working on Polymers and Plastics, Mechanical Engineering, Materials Chemistry, Biomaterials and Mechanics of Materials, having authored 23 papers that have together received 842 indexed citations. Recurring topics across this work include Fiber-reinforced polymer composites (8 papers), Carbon Nanotubes in Composites (5 papers), Conducting polymers and applications (4 papers), Graphene research and applications (4 papers), Polymer Nanocomposites and Properties (4 papers), Natural Fiber Reinforced Composites (4 papers), biodegradable polymer synthesis and properties (4 papers) and TiO2 Photocatalysis and Solar Cells (3 papers). The work is most often cited by research in Polymers and Plastics (391 citations), Biomaterials (272 citations), Electronic, Optical and Magnetic Materials (128 citations), Renewable Energy, Sustainability and the Environment (102 citations) and Biomedical Engineering (254 citations). An‐Ting Chien has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Satish Kumar, H. Clive Liu, Bradley A. Newcomb, King‐Fu Lin, Yaodong Liu, Yogendra Joshi, Amir A. Bakhtiary Davijani, Kuo–Chuan Ho, Chia‐Hsin Lee and Po‐Hsiang Wang. Their work appears in journals such as Polymer, Journal of Polymer Science Part A Polymer Chemistry, Polymer Engineering and Science, Carbon and ACS Applied Materials & Interfaces.

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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