Pei-Yun Huang

1.8k total citations · 2 hit papers
8 papers, 1.7k citations indexed

About

Pei-Yun Huang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Pharmacology. According to data from OpenAlex, Pei-Yun Huang has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 7 papers in Materials Chemistry and 1 paper in Pharmacology. Recurrent topics in Pei-Yun Huang's work include Organic Electronics and Photovoltaics (6 papers), Luminescence and Fluorescent Materials (6 papers) and Organic Light-Emitting Diodes Research (6 papers). Pei-Yun Huang is often cited by papers focused on Organic Electronics and Photovoltaics (6 papers), Luminescence and Fluorescent Materials (6 papers) and Organic Light-Emitting Diodes Research (6 papers). Pei-Yun Huang collaborates with scholars based in Taiwan. Pei-Yun Huang's co-authors include Chien‐Hong Cheng, Hao‐Wu Lin, Min‐Jie Huang, Tien‐Lin Wu, Rai‐Shung Liu, Pachaiyappan Rajamalli, N. Senthilkumar, Tsu‐Yu Chou, Ren-Wu Chen-Cheng and Chih‐Chun Lin and has published in prestigious journals such as Journal of the American Chemical Society, Nature Photonics and ACS Applied Materials & Interfaces.

In The Last Decade

Pei-Yun Huang

8 papers receiving 1.7k citations

Hit Papers

Diboron compound-based organic light-emitting diodes with... 2017 2026 2020 2023 2018 2017 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pei-Yun Huang Taiwan 7 1.5k 1.3k 170 145 64 8 1.7k
Masaki Numata Japan 8 1.6k 1.1× 1.3k 1.0× 198 1.2× 136 0.9× 89 1.4× 8 1.8k
Wei‐Lung Tsai Taiwan 11 2.0k 1.4× 1.5k 1.2× 264 1.6× 163 1.1× 80 1.3× 18 2.2k
Tao Hua China 11 1.5k 1.0× 1.2k 1.0× 191 1.1× 191 1.3× 35 0.5× 15 1.6k
Si Hyun Han South Korea 21 1.5k 1.0× 1.2k 0.9× 190 1.1× 196 1.4× 55 0.9× 55 1.6k
Subeesh Madayanad Suresh United Kingdom 12 1.6k 1.0× 1.3k 1.1× 146 0.9× 232 1.6× 70 1.1× 19 1.7k
Yuta Sagara Japan 5 1.1k 0.7× 826 0.7× 143 0.8× 92 0.6× 82 1.3× 6 1.2k
Shosei Kubo Japan 12 1.6k 1.0× 1.3k 1.0× 202 1.2× 198 1.4× 102 1.6× 17 1.8k
Minlang Yang Japan 11 1.3k 0.9× 1.1k 0.9× 216 1.3× 225 1.6× 38 0.6× 11 1.5k
Runda Guo China 22 1.3k 0.8× 996 0.8× 206 1.2× 94 0.6× 41 0.6× 81 1.4k

Countries citing papers authored by Pei-Yun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Yun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei-Yun Huang. 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 Pei-Yun Huang. The network helps show where Pei-Yun Huang may publish in the future.

Co-authorship network of co-authors of Pei-Yun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Yun Huang. A scholar is included among the top collaborators of Pei-Yun Huang 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 Pei-Yun Huang. Pei-Yun Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Na, Neil, Yi-Chang Lu, Yi‐Ting Lai, et al.. (2023). GeSi APD with Ultralow Dark Currents for LiDAR. 1–2. 1 indexed citations
2.
Wu, Tien‐Lin, Chia‐Min Hsieh, Pei-Yun Huang, et al.. (2022). Substituent engineering of the diboron molecular architecture for a nondoped and ultrathin emitting layer. Chemical Science. 13(44). 12996–13005. 14 indexed citations
3.
Jayakumar, Jayachandran, Tien‐Lin Wu, Min‐Jie Huang, et al.. (2019). Pyridine-Carbonitrile–Carbazole-Based Delayed Fluorescence Materials with Highly Congested Structures and Excellent OLED Performance. ACS Applied Materials & Interfaces. 11(23). 21042–21048. 43 indexed citations
4.
Wu, Tien‐Lin, Min‐Jie Huang, Chih‐Chun Lin, et al.. (2018). Diboron compound-based organic light-emitting diodes with high efficiency and reduced efficiency roll-off. Nature Photonics. 12(4). 235–240. 733 indexed citations breakdown →
5.
Wu, Tien‐Lin, Chao‐Hui Yeh, Pei-Yun Huang, et al.. (2017). High-Performance Organic Light-Emitting Diode with Substitutionally Boron-Doped Graphene Anode. ACS Applied Materials & Interfaces. 9(17). 14998–15004. 45 indexed citations
6.
Rajamalli, Pachaiyappan, et al.. (2017). New Molecular Design Concurrently Providing Superior Pure Blue, Thermally Activated Delayed Fluorescence and Optical Out-Coupling Efficiencies. Journal of the American Chemical Society. 139(32). 10948–10951. 387 indexed citations breakdown →
7.
Rajamalli, Pachaiyappan, N. Senthilkumar, Parthasarathy Gandeepan, et al.. (2015). A New Molecular Design Based on Thermally Activated Delayed Fluorescence for Highly Efficient Organic Light Emitting Diodes. Journal of the American Chemical Society. 138(2). 628–634. 372 indexed citations
8.
Wu, Tien‐Lin, Ho‐Hsiu Chou, Pei-Yun Huang, Chien‐Hong Cheng, & Rai‐Shung Liu. (2013). 3,6,9,12-Tetrasubstituted Chrysenes: Synthesis, Photophysical Properties, and Application as Blue Fluorescent OLED. The Journal of Organic Chemistry. 79(1). 267–274. 69 indexed citations

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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