Shao-Ming Yang

433 total citations · 1 hit paper
38 papers, 331 citations indexed

About

Shao-Ming Yang is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Shao-Ming Yang has authored 38 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Epidemiology. Recurrent topics in Shao-Ming Yang's work include Advancements in Semiconductor Devices and Circuit Design (21 papers), Silicon Carbide Semiconductor Technologies (17 papers) and Semiconductor materials and devices (16 papers). Shao-Ming Yang is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (21 papers), Silicon Carbide Semiconductor Technologies (17 papers) and Semiconductor materials and devices (16 papers). Shao-Ming Yang collaborates with scholars based in Taiwan, China and Japan. Shao-Ming Yang's co-authors include Kun He, Hong Zou, Zhike Liu, Yong Li, Shengzhong Liu, Dongfang Xu, Hui Zhou, Yuwei Duan, Lu Yang and Zhimin Fang and has published in prestigious journals such as Advanced Materials, Medicine and Japanese Journal of Applied Physics.

In The Last Decade

Shao-Ming Yang

34 papers receiving 318 citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

25.24%‐Efficiency FACsPbI₃ Perovskite Solar Cells Enabled by Intermolecular Esterification Reaction of DL‐Carnitine Hydrochloride

2023 161 citations Lu Yang, Hui Zhou et al. Advanced Materials profile →

Peers

Countries citing papers authored by Shao-Ming Yang

Since Specialization

Citations

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

Fields of papers citing papers by Shao-Ming Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Ming Yang. 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 Shao-Ming Yang. The network helps show where Shao-Ming Yang may publish in the future.

Co-authorship network of co-authors of Shao-Ming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shao-Ming Yang. A scholar is included among the top collaborators of Shao-Ming Yang 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 Shao-Ming Yang. Shao-Ming Yang 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

#	Title	Journal	Authors	Indexed citations
1	25.24%‐Efficiency FACsPbI₃ Perovskite Solar Cells Enabled by Intermolecular Esterification Reaction of DL‐Carnitine Hydrochloride breakdown →	Advanced Materials	Lu Yang, Hui Zhou et al.	161
2	Astrocytoma with myelin oligodendrocyte glycoprotein antibody associated encephalomyelitis: A case report	Medicine	Shao-Ming Yang et al.	2
3	Comparison between linear and nonlinear machine-learning algorithms for the classification of thyroid nodules	European Journal of Radiology	Fusheng Ouyang, Zi-wei Liu et al.	55
4	ELM-Based AFL–SLFN Modeling and Multiscale Model-Modification Strategy for Online Prediction	Processes	Xiaoli Wang, He Zhang et al.	3
5	A nomogram for individual prediction of vascular invasion in primary breast cancer	European Journal of Radiology	Fusheng Ouyang, Baoliang Guo et al.	17
6	Development and validation of an ultrasound-based nomogram to improve the diagnostic accuracy for malignant thyroid nodules	European Radiology	Fusheng Ouyang, Meng Wei et al.	13
7	Development of a preprocedure nomogram for predicting contrast-induced acute kidney injury after coronary angiography or percutaneous coronary intervention	Oncotarget	Fusheng Ouyang, Shao-Ming Yang et al.	11
8	An experimental and analytical method to observe the polysilicon Nanowire mosfet threshold voltage		Shao-Ming Yang et al.	1
9	Study on High-side LDMOS energy capability Improvement		Shao-Ming Yang, Ching-Yuan Wu et al.	2
10	High voltage NLDMOS with multiple-RESURF structure to achieve improved on-resistance		Shao-Ming Yang, E. Hema et al.	1
11	Improvement of CMOS latch-up in bootstrapping circuit application		Shao-Ming Yang, Chun‐Hsien Wu et al.	2
12	An accurate prediction for as-implanted doping profile calibration using different ion implantation models		Shao-Ming Yang et al.	1
13	Effect of trench depth and trench angle in a high voltage polyflanked-Super junction MOSFET		Shao-Ming Yang et al.	2
14	Novel structure of deep trench capacitor with higher breakdown and higher capacitance density for Low Dropout Voltage regulator		Shao-Ming Yang et al.	6
15	Process integration of best in class specific-on resistance of 20V to 60V 0.18µm bipolar CMOS DMOS technology		Shao-Ming Yang et al.	2
16	A novel ultra high voltage sidewall implant super junction MOSFET using arsenic implantation under trench bottom		Rahul Kumar, Shao-Ming Yang et al.	1
17	Design of a low on resistance high voltage (<100V) novel 3D NLDMOS with side STI and single P-top layer based on 0.18um BCD process technology		Shao-Ming Yang et al.	1
18	[Effectiveness of 23-valent penumococcal polysaccharide and split-virus influenza vaccines to prevent respiratory diseases for elderly people].	PubMed	Shao-Ming Yang et al.	2
19	Reduction of Kink Effect in SOI LDMOS Structure with Linear Drift Region Thickness	ECS Transactions	Shao-Ming Yang, Yufeng Guo et al.	0
20	Dependence of breakdown voltage on drift length and linear doping gradients in SOI RESURF LDMOS devices		Shao-Ming Yang et al.	4

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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