Jing‐Hong Pai

531 total citations · 1 hit paper
8 papers, 460 citations indexed

About

Jing‐Hong Pai is a scholar working on Biomedical Engineering, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Jing‐Hong Pai has authored 8 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 2 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Jing‐Hong Pai's work include Injection Molding Process and Properties (2 papers), Nanofabrication and Lithography Techniques (2 papers) and Tactile and Sensory Interactions (2 papers). Jing‐Hong Pai is often cited by papers focused on Injection Molding Process and Properties (2 papers), Nanofabrication and Lithography Techniques (2 papers) and Tactile and Sensory Interactions (2 papers). Jing‐Hong Pai collaborates with scholars based in Australia, Iran and Germany. Jing‐Hong Pai's co-authors include Ivan Lee, Liqun Zhang, Hongwei Zhu, Jun Ma, Zhiheng Zhao, Rujing Zhang, Ge Shi, Benjamin Thierry, Craig Priest and Hung-Yao Hsu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Analytical Chemistry.

In The Last Decade

Jing‐Hong Pai

8 papers receiving 458 citations

Hit Papers

Highly Sensitive, Wearabl... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing‐Hong Pai Australia 6 407 228 129 129 57 8 460
Seonghoon Jeong South Korea 12 421 1.0× 177 0.8× 126 1.0× 169 1.3× 80 1.4× 20 482
Han‐Byeol Lee South Korea 9 473 1.2× 163 0.7× 135 1.0× 263 2.0× 54 0.9× 12 553
Hyejin Hwang South Korea 10 350 0.9× 126 0.6× 94 0.7× 239 1.9× 66 1.2× 15 450
Fengjiao Pan United States 5 318 0.8× 165 0.7× 97 0.8× 143 1.1× 80 1.4× 10 451
Wuxiao Han China 9 438 1.1× 188 0.8× 87 0.7× 226 1.8× 88 1.5× 17 543
Yiming Yin China 6 335 0.8× 130 0.6× 109 0.8× 135 1.0× 43 0.8× 7 396
Bangbang Nie China 13 413 1.0× 150 0.7× 143 1.1× 176 1.4× 56 1.0× 31 511
Jialiang Yin Australia 6 342 0.8× 140 0.6× 66 0.5× 111 0.9× 29 0.5× 6 421
Ge Deng China 5 458 1.1× 180 0.8× 117 0.9× 242 1.9× 118 2.1× 8 541
Md Selim Reza South Korea 12 359 0.9× 169 0.7× 63 0.5× 167 1.3× 52 0.9× 26 452

Countries citing papers authored by Jing‐Hong Pai

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Hong Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing‐Hong Pai. 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 Jing‐Hong Pai. The network helps show where Jing‐Hong Pai may publish in the future.

Co-authorship network of co-authors of Jing‐Hong Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Hong Pai. A scholar is included among the top collaborators of Jing‐Hong Pai 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 Jing‐Hong Pai. Jing‐Hong Pai 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.
Guan, Bin, et al.. (2022). Injection moulding of micropillar arrays: a comparison of poly(methyl methacrylate) and cyclic olefin copolymer. Microsystem Technologies. 28(9). 2083–2091. 8 indexed citations
2.
Guan, Bin, et al.. (2019). Effect of mould roughness on injection moulded poly (methyl methacrylate) surfaces: Roughness and wettability. Journal of Manufacturing Processes. 48. 313–319. 16 indexed citations
3.
Shi, Ge, Tianqing Liu, Zlatko Kopecki, et al.. (2019). A Multifunctional Wearable Device with a Graphene/Silver Nanowire Nanocomposite for Highly Sensitive Strain Sensing and Drug Delivery. SHILAP Revista de lepidopterología. 5(2). 17–17. 32 indexed citations
4.
Pai, Jing‐Hong, Chih‐Tsung Yang, Hung-Yao Hsu, A. B. Wedding, & Benjamin Thierry. (2017). Development of a simplified approach for the fabrication of localised surface plasmon resonance sensors based on gold nanorods functionalized using mixed polyethylene glycol layers. Analytica Chimica Acta. 974. 87–92. 22 indexed citations
5.
Shi, Ge, Zhiheng Zhao, Jing‐Hong Pai, et al.. (2016). Highly Sensitive, Wearable, Durable Strain Sensors and Stretchable Conductors Using Graphene/Silicon Rubber Composites. Advanced Functional Materials. 26(42). 7614–7625. 352 indexed citations breakdown →
6.
Tran, Duy Phu, Bernhard Wolfrum, Regina Stockmann, et al.. (2014). Complementary Metal Oxide Semiconductor Compatible Silicon Nanowires-on-a-Chip: Fabrication and Preclinical Validation for the Detection of a Cancer Prognostic Protein Marker in Serum. Analytical Chemistry. 87(3). 1662–1668. 23 indexed citations
7.
Pai, Jing‐Hong, Tianqing Liu, Hung-Yao Hsu, et al.. (2014). Molecular photo-thermal optical coherence phase microscopy using gold nanorods. RSC Advances. 4(51). 27067–27073. 5 indexed citations
8.
Pai, Jing‐Hong, David E. Davey, & Hung-Yao Hsu. (2011). Essential elements of biosensor development for water quality monitoring. 194–199. 2 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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