Shin‐Pon Ju

3.0k total citations
212 papers, 2.5k citations indexed

About

Shin‐Pon Ju is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Shin‐Pon Ju has authored 212 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Materials Chemistry, 51 papers in Atomic and Molecular Physics, and Optics and 48 papers in Electrical and Electronic Engineering. Recurrent topics in Shin‐Pon Ju's work include Carbon Nanotubes in Composites (29 papers), Graphene research and applications (26 papers) and nanoparticles nucleation surface interactions (24 papers). Shin‐Pon Ju is often cited by papers focused on Carbon Nanotubes in Composites (29 papers), Graphene research and applications (26 papers) and nanoparticles nucleation surface interactions (24 papers). Shin‐Pon Ju collaborates with scholars based in Taiwan, China and United States. Shin‐Pon Ju's co-authors include Jee‐Gong Chang, Hsin‐Tsung Chen, Wen‐Jay Lee, Hui‐Lung Chen, Jenn-Sen Lin, Yaochun Wang, Hsing‐Yin Chen, Cheng‐I Weng, J.C. Huang and Ming‐Liang Liao and has published in prestigious journals such as The Journal of Chemical Physics, Physical review. B, Condensed matter and Applied Physics Letters.

In The Last Decade

Shin‐Pon Ju

209 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shin‐Pon Ju Taiwan	26	1.5k	495	493	489	365	212	2.5k
Chiara Gattinoni United Kingdom	22	933 0.6×	482 1.0×	504 1.0×	385 0.8×	406 1.1×	33	1.8k
György Sáfrán Hungary	24	1.7k 1.1×	607 1.2×	394 0.8×	326 0.7×	255 0.7×	155	2.5k
Martin Hulman Austria	23	2.0k 1.3×	627 1.3×	382 0.8×	291 0.6×	331 0.9×	85	2.6k
Carlos Drummond France	26	1.0k 0.7×	484 1.0×	553 1.1×	437 0.9×	636 1.7×	60	2.4k
Miao Zhang China	23	1.5k 1.0×	607 1.2×	642 1.3×	180 0.4×	158 0.4×	131	2.4k
Irene Suarez‐Martinez Australia	29	1.9k 1.3×	689 1.4×	509 1.0×	225 0.5×	229 0.6×	68	2.5k
I. Vávra Slovakia	24	944 0.6×	524 1.1×	790 1.6×	437 0.9×	423 1.2×	163	2.2k
Davor Balzar United States	25	1.7k 1.2×	608 1.2×	315 0.6×	652 1.3×	186 0.5×	62	2.6k
R. Garcı́a Spain	27	1.4k 0.9×	1.0k 2.0×	559 1.1×	600 1.2×	717 2.0×	230	3.0k
Guang–Lin Zhao United States	28	1.1k 0.8×	616 1.2×	288 0.6×	331 0.7×	329 0.9×	97	2.3k

Countries citing papers authored by Shin‐Pon Ju

Since Specialization

Citations

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

Fields of papers citing papers by Shin‐Pon Ju

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin‐Pon Ju. 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 Shin‐Pon Ju. The network helps show where Shin‐Pon Ju may publish in the future.

Co-authorship network of co-authors of Shin‐Pon Ju

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ju, Shin‐Pon, Ping Huang, Hui‐Lung Chen, et al.. (2024). Tailoring strength and ductility in dual-phase high-entropy alloys: Insights from deep learning molecular dynamics simulation on FCC/BCC thickness ratios. Journal of Materials Research and Technology. 33. 6810–6819. 6 indexed citations

Lin, Che‐Hsin, et al.. (2024). Composition-Structure-Property links in rocksalt AgMnGeSbTe high-entropy alloys: Insights from experiments and deep learning potential atomic simulations. Computational Materials Science. 244. 113160–113160. 3 indexed citations

Ju, Shin‐Pon, et al.. (2024). Tailoring mechanical performance in bulk nanoparticle-structured ZnO and Al₂O₃: Insights from deep learning potential molecular dynamics simulations. Materials Today Communications. 42. 111161–111161. 1 indexed citations

Ju, Shin‐Pon, et al.. (2023). Illuminating the mechanical responses of amorphous boron nitride through deep learning: A molecular dynamics study. Computational Materials Science. 232. 112664–112664. 3 indexed citations

Ju, Shin‐Pon, et al.. (2023). Unveiling mechanisms of self-healing in CoCrFeMnNi/HfNbTaTiZr dual-phase high-entropy alloys: A molecular dynamics simulation study. Materials Today Communications. 37. 107421–107421. 3 indexed citations

Lin, Che‐Hsin, et al.. (2020). Peptide Capping Agent Design for Gold (111) Facet by Molecular Simulation and Experimental Approaches. Scientific Reports. 10(1). 2090–2090. 5 indexed citations

Ju, Shin‐Pon, I-Jui Lee, & Hsing‐Yin Chen. (2020). Melting mechanism of Pt–Pd–Rh–Co high entropy alloy nanoparticle: An insight from molecular dynamics simulation. Journal of Alloys and Compounds. 858. 157681–157681. 23 indexed citations

Pan, Cheng‐Tang, Yeong‐Maw Hwang, Songwei Zeng, et al.. (2019). Development of Polycaprolactone Microspheres with Controllable and Uniform Particle Size by Uniform Design Experiment in Emulsion Progress. Sensors and Materials. 31(2). 311–311. 6 indexed citations

Yang, Hung‐Wei, et al.. (2018). Aptasensor designed via the stochastic tunneling-basin hopping method for biosensing of vascular endothelial growth factor. Biosensors and Bioelectronics. 119. 25–33. 14 indexed citations

10.

Pan, Cheng‐Tang, et al.. (2016). Investigation of Materials Used in Synthesis for Silver Nanowires and Nanoparticles. Sensors and Materials. 1–1. 1 indexed citations

11.

Lin, Ken‐Huang, et al.. (2015). Mechanical properties and thermal stability of ultrathin molybdenum nanowires. RSC Advances. 5(39). 31231–31237. 4 indexed citations

12.

Lee, Wen‐Jay, Hui‐Lung Chen, Hui‐Lung Chen, et al.. (2013). Mechanical and structural properties of helical and non-helical silica nanowire. Computational Materials Science. 82. 165–171. 3 indexed citations

13.

Ju, Shin‐Pon, Jenn-Sen Lin, Hui‐Lung Chen, et al.. (2013). A molecular dynamics study of the mechanical properties of a double-walled carbon nanocoil. Computational Materials Science. 82. 92–99. 24 indexed citations

14.

Wang, Yaochun, Jian-Ming Lü, Shin‐Pon Ju, et al.. (2013). The Dynamics Behavior of Rh Nanoclusters on Boron Nitride Sheet. Journal of Nanoscience and Nanotechnology. 13(2). 1256–1260. 2 indexed citations

15.

Ju, Shin‐Pon, et al.. (2010). Investigation of methyl methacrylate-oligomer adsorbed on grooved substrate of different aspect ratios by coarse-grained configurational-bias Monte Carlo simulation. The Journal of Chemical Physics. 133(14). 144710–144710. 2 indexed citations

16.

Chen, Hsin‐Tsung, Hsin‐Tsung Chen, Jee‐Gong Chang, et al.. (2009). Identifying the O₂diffusion and reduction mechanisms on CeO₂electrolyte in solid oxide fuel cells: A DFT + U study. Journal of Computational Chemistry. 30(15). 2433–2442. 61 indexed citations

17.

Chen, Hsin‐Tsung, Hsin‐Tsung Chen, Jee‐Gong Chang, et al.. (2009). First‐principle calculations on CO oxidation catalyzed by a gold nanoparticle. Journal of Computational Chemistry. 31(2). 258–265. 50 indexed citations

18.

Chang, Jee‐Gong, et al.. (2009). Random dot generation scheme using molecular dynamics method for illumination design of a round plane LED source light guide. Displays. 31(1). 44–53. 2 indexed citations

19.

Chang, Jee‐Gong, et al.. (2005). A general consideration of incident impact energy accumulation in molecular dynamics thin film simulations—a new approach using thermal control layer marching algorithms. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 461(2064). 3977–3998. 8 indexed citations

20.

Ju, Shin‐Pon, et al.. (2004). An investigation into the cap deformation of carbon nanotube tips using tight-binding molecular dynamics simulation. Journal of Applied Physics. 95(10). 5703–5709. 1 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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