Wen‐Jay Lee

988 total citations
64 papers, 787 citations indexed

About

Wen‐Jay Lee is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Wen‐Jay Lee has authored 64 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Materials Chemistry, 27 papers in Electrical and Electronic Engineering and 16 papers in Biomedical Engineering. Recurrent topics in Wen‐Jay Lee's work include Carbon Nanotubes in Composites (10 papers), Microstructure and mechanical properties (7 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). Wen‐Jay Lee is often cited by papers focused on Carbon Nanotubes in Composites (10 papers), Microstructure and mechanical properties (7 papers) and Advancements in Semiconductor Devices and Circuit Design (7 papers). Wen‐Jay Lee collaborates with scholars based in Taiwan, United States and Vietnam. Wen‐Jay Lee's co-authors include Shin‐Pon Ju, An‐Chou Yeh, Jenn-Sen Lin, Yao‐Jen Chang, Jee‐Gong Chang, E‐Wen Huang, Peter K. Liaw, Yaochun Wang, Tu‐Ngoc Lam and Sudhanshu S. Singh and has published in prestigious journals such as The Journal of Chemical Physics, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Wen‐Jay Lee

63 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wen‐Jay Lee Taiwan	13	352	238	206	172	121	64	787
Xuemin Wang China	20	589 1.7×	277 1.2×	303 1.5×	158 0.9×	106 0.9×	95	1.1k
Tyson C. Back United States	22	781 2.2×	98 0.4×	484 2.3×	224 1.3×	191 1.6×	75	1.2k
S. Bhattacharyya India	19	965 2.7×	351 1.5×	271 1.3×	257 1.5×	75 0.6×	61	1.3k
Katherine P. Rice United States	14	472 1.3×	245 1.0×	183 0.9×	206 1.2×	70 0.6×	42	856
Takayuki Nakano Japan	16	270 0.8×	57 0.2×	231 1.1×	214 1.2×	188 1.6×	80	725
Joseph W. Tringe United States	14	255 0.7×	82 0.3×	204 1.0×	139 0.8×	117 1.0×	79	632
Andrew R. Roosen United States	7	457 1.3×	96 0.4×	196 1.0×	102 0.6×	46 0.4×	10	730
Tomoyuki Hamada Japan	18	522 1.5×	156 0.7×	512 2.5×	203 1.2×	146 1.2×	72	1.1k
Yuan Luo China	18	482 1.4×	136 0.6×	282 1.4×	141 0.8×	126 1.0×	51	886

Countries citing papers authored by Wen‐Jay Lee

Since Specialization

Citations

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

Fields of papers citing papers by Wen‐Jay Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Jay Lee. 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 Wen‐Jay Lee. The network helps show where Wen‐Jay Lee may publish in the future.

Co-authorship network of co-authors of Wen‐Jay Lee

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

All Works

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20 of 20 papers shown

Huang, E‐Wen, Tu‐Ngoc Lam, Zachary H. Aitken, et al.. (2025). Mixing-enthalpy modulation on phase transformation in the gradient chemical core/shell high-entropy shape-memory alloys. Materials & Design. 251. 113623–113623. 3 indexed citations

Lam, Tu‐Ngoc, et al.. (2024). Predictions of Lattice Parameters in NiTi High-Entropy Shape-Memory Alloys Using Different Machine Learning Models. Materials. 17(19). 4754–4754. 1 indexed citations

Lam, Tu‐Ngoc, Wen‐Jay Lee, Gung-Chian Yin, et al.. (2024). Mixing entropy and enthalpy effects on europium ions in Eu-doped BaAl2O4. Applied Physics Letters. 124(9). 1 indexed citations

Hsiao, Yu‐Sheng, et al.. (2024). Using U-Net convolutional neural network to model pixel-based electrostatic potential distributions in GaN power MIS-HEMTs. Scientific Reports. 14(1). 8151–8151. 3 indexed citations

Lee, Wen‐Jay, et al.. (2023). Device simulations with A U-Net model predicting physical quantities in two-dimensional landscapes. Scientific Reports. 13(1). 731–731. 7 indexed citations

Fang, Yu, et al.. (2020). Inherent Dipole Layer Formation Driven by Surface Energy at Nonplanar Dielectric Interface. IEEE Transactions on Electron Devices. 68(1). 294–298. 1 indexed citations

Kao, Kuo-Hsing, et al.. (2020). Subthreshold Swing Saturation of Nanoscale MOSFETs Due to Source-to-Drain Tunneling at Cryogenic Temperatures. IEEE Electron Device Letters. 41(9). 1296–1299. 30 indexed citations

Chen, Yuli, Mon‐Shu Ho, Wen‐Jay Lee, et al.. (2019). The mechanism underlying silicon oxide based resistive random-access memory (ReRAM). Nanotechnology. 31(14). 145709–145709. 10 indexed citations

Chang, Tay‐Rong, et al.. (2019). Impact of Semiconductor Permittivity Reduction on Electrical Characteristics of Nanoscale MOSFETs. IEEE Transactions on Electron Devices. 66(6). 2509–2512. 5 indexed citations

10.

Chang, Yao‐Jen, et al.. (2019). Prediction of the Composition and Hardness of High-Entropy Alloys by Machine Learning. JOM. 71(10). 3433–3442. 137 indexed citations

11.

Chen, Kuan‐Ting, et al.. (2019). Carrier Mobility Calculation for Monolayer Black Phosphorous. Journal of Nanoscience and Nanotechnology. 19(10). 6821–6825. 2 indexed citations

12.

Ho, Mon‐Shu, et al.. (2016). Probing C<sub>84</sub>-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics. Journal of Visualized Experiments. 1 indexed citations

13.

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

14.

Lee, Wen‐Jay & Wan-Sheng Su. (2013). Investigation into the mechanical properties of single-walled carbon nanotube heterojunctions. Physical Chemistry Chemical Physics. 15(27). 11579–11579. 5 indexed citations

15.

Wang, Yeng‐Tseng & Wen‐Jay Lee. (2012). Binding hot-spots in an antibody–ssDNA interface: a molecular dynamics study. Molecular BioSystems. 8(12). 3274–3280. 1 indexed citations

16.

Huang, E‐Wen, Gábor Csiszár, Yu‐Chieh Lo, et al.. (2012). Plastic Deformation of a Nano‐Precipitate Strengthened Ni‐Base Alloy Investigated by Complementary In Situ Neutron Diffraction Measurements and Molecular‐Dynamics Simulations. Advanced Engineering Materials. 14(10). 902–908. 12 indexed citations

17.

Lee, Wen‐Jay, et al.. (2011). Structure-dependent mechanical properties of ultrathin zinc oxide nanowires. Nanoscale Research Letters. 6(1). 352–352. 21 indexed citations

18.

Wang, Yaochun, Jin-Yuan Hsieh, Jee‐Gong Chang, et al.. (2010). The Interfacial Behavior of Water/PMMA Thin Film Under Normal Compression. Journal of Nanoscience and Nanotechnology. 10(11). 7075–7078. 1 indexed citations

19.

Hsieh, Jin-Yuan, Shin‐Pon Ju, Jee‐Gong Chang, et al.. (2010). The Scratch Behaviors of Copper Bi-Layers by a Diamond Tip: A Molecular Statics Study. Journal of Nanoscience and Nanotechnology. 10(11). 7005–7009. 1 indexed citations

20.

Ju, Shin‐Pon, Ming‐Liang Liao, Shenghui Yang, & Wen‐Jay Lee. (2007). Hydrogen-bond dynamics of interior and surface molecules in a water nanocluster: temperature and size effects. Molecular Physics. 105(4). 429–436. 12 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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