Ting‐Ya Lo

643 citations
16 papers · 581 · h-index 14

Impact in

Papers in

    • Block Copolymer Self-Assembly 14
    • Machine Learning in Materials Science 4
    • Anodic Oxide Films and Nanostructures 1
    • Advanced Polymer Synthesis and Characterization 6

Ting‐Ya Lo

16 papers receiving 577 citations

Peers

Ting‐Ya Lo
Comparison fields: 5 of 43
  • Surfaces, Coatings and Films 139
  • Materials Chemistry 485
  • Organic Chemistry 293
  • Polymers and Plastics 83
  • Fluid Flow and Transfer Processes 21
Replace Julian Sobieski with:
Julian Sobieski United States
Wonchul Joo South Korea
Dwight W. Schwark United States
Sozaraj Rasappa Ireland
Sheng Hong United States
Kookheon Char South Korea
D. R. Iyengar United States
Antonis Gitsas Germany
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Citations per field
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Citations per year

Countries citing papers authored by Ting‐Ya Lo

Since Specialization
Citations

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

Fields of papers citing papers by Ting‐Ya Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ting‐Ya Lo, 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 Ting‐Ya Lo Line = papers co-authored together Ting‐Ya Lo links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201786
2 201372
3 201660
4 201355
5 201342
6 201640
7 201335
8 201334
9 201734
10 201334
11 201531
12 201821
13 201320
14 201413
15 20163
16 20241

About Ting‐Ya Lo

Ting‐Ya Lo is a scholar working on Materials Chemistry, Organic Chemistry, Electrical and Electronic Engineering, Surfaces, Coatings and Films and Polymers and Plastics, having authored 16 papers that have together received 581 indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (14 papers), Advanced Polymer Synthesis and Characterization (6 papers), Machine Learning in Materials Science (4 papers), Organic Electronics and Photovoltaics (4 papers), Polymer Surface Interaction Studies (4 papers), Polymer crystallization and properties (2 papers), Credit Risk and Financial Regulations (1 paper) and Anodic Oxide Films and Nanostructures (1 paper). The work is most often cited by research in Surfaces, Coatings and Films (139 citations), Materials Chemistry (485 citations), Organic Chemistry (293 citations), Polymers and Plastics (83 citations) and Fluid Flow and Transfer Processes (21 citations). Ting‐Ya Lo has collaborated with scholars based in Taiwan, Greece and United States. Frequent co-authors include Rong‐Ming Ho, Apostolos Avgeropoulos, Prokopios Georgopanos, Mohan Raj Krishnan, Han‐Yu Hsueh, An‐Chang Shi, Edwin L. Thomas, Xinbo Wang, Feng Qiu and Saide Tang. Their work appears in journals such as Macromolecules, Emerging Markets Finance and Trade, Progress in Polymer Science, NPG Asia Materials and ACS Nano.

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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