Lingfei Wang

455 total citations
34 papers, 306 citations indexed

About

Lingfei Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Lingfei Wang has authored 34 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 15 papers in Materials Chemistry and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Lingfei Wang's work include Semiconductor materials and devices (14 papers), Advanced Memory and Neural Computing (12 papers) and Ferroelectric and Negative Capacitance Devices (12 papers). Lingfei Wang is often cited by papers focused on Semiconductor materials and devices (14 papers), Advanced Memory and Neural Computing (12 papers) and Ferroelectric and Negative Capacitance Devices (12 papers). Lingfei Wang collaborates with scholars based in China, Singapore and Hong Kong. Lingfei Wang's co-authors include Kah‐Wee Ang, Xuewei Feng, Dongzhi Chi, Swee Liang Wong, Sifan Li, Xuanyao Fong, Li Chen, Shi Wun Tong, Ling Li and Nianduan Lu and has published in prestigious journals such as ACS Nano, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Lingfei Wang

30 papers receiving 298 citations

Peers

Lingfei Wang
Yaqing Shen Saudi Arabia
Dae Yun Kang South Korea
Kensuke Ota Japan
Ruixuan Peng China
Onofrio Pirrotta Italy
Eunpyo Park South Korea
William A. Gaviria Rojas United States
Jong-Ho Lee South Korea
Byeong Hyeon Lee South Korea
Miaocheng Zhang China
Yaqing Shen Saudi Arabia
Lingfei Wang
Citations per year, relative to Lingfei Wang Lingfei Wang (= 1×) peers Yaqing Shen

Countries citing papers authored by Lingfei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lingfei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lingfei Wang. 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 Lingfei Wang. The network helps show where Lingfei Wang may publish in the future.

Co-authorship network of co-authors of Lingfei Wang

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

All Works

20 of 20 papers shown
1.
Geng, Di, et al.. (2025). TCAD Simulation Study of Cylindrical Vertical Double-Surrounding-Gate a-InGaZnO FETs and Geometric Parameter Optimization. IEEE Journal of the Electron Devices Society. 13. 66–72.
2.
Li, Xufan, Zhenhua Wu, G. Rzepa, et al.. (2024). Overview of emerging semiconductor device model methodologies: From device physics to machine learning engines. Fundamental Research. 5(5). 2149–2160. 13 indexed citations
3.
Zhang, Yanqin, et al.. (2024). Current Temperature Stress Induced Threshold Degradation on Corbino a-InGaZnO Transistors. IEEE Electron Device Letters. 45(7). 1205–1208. 1 indexed citations
4.
Sun, Xiaofan, Haitao Zhou, Lu Huang, et al.. (2024). Aging-Aware LTPO DTCO for Large-Scale Integrated Circuit-Driven Flexible Intelligent Sensing System. IEEE Transactions on Electron Devices. 71(5). 3322–3328. 2 indexed citations
5.
Yao, Zhenjie, Zhicheng Wu, Lingfei Wang, et al.. (2024). Etching process prediction based on cascade recurrent neural network. Engineering Applications of Artificial Intelligence. 139. 109590–109590. 2 indexed citations
6.
Chen, Kaifei, et al.. (2024). Physics-Based Compact Model of Independent Dual-Gate BEOL-Transistors for Reliable Capacitorless Memory. IEEE Journal of the Electron Devices Society. 12. 359–364. 1 indexed citations
7.
Zhou, Kai, Xuanze Zhou, Guangwei Xu, et al.. (2024). A Physics-Based Compact Electrothermal Model of β -Ga2O3 MOSFETs for Device-Circuit Co-Design. IEEE Transactions on Components Packaging and Manufacturing Technology. 14(12). 2231–2239. 1 indexed citations
8.
9.
Wang, A. F., et al.. (2024). Freestanding oxide membranes: synthesis, tunable physical properties, and functional devices. JUSTC. 54(7). 701–701. 1 indexed citations
10.
Zhou, Kai, et al.. (2023). A core drain current model for β-Ga2O3 power MOSFETs based on surface potential. AIP Advances. 13(1). 3 indexed citations
11.
Huang, Shijie & Lingfei Wang. (2023). MOSFET Physics-Based Compact Model Mass-Produced: An Artificial Neural Network Approach. Micromachines. 14(2). 386–386. 10 indexed citations
12.
13.
Lu, Nianduan, et al.. (2023). Charge Trapping and Emission Properties in CAAC-IGZO Transistor: A First-Principles Calculations. Materials. 16(6). 2282–2282. 9 indexed citations
14.
Sun, Chen, Zijie Zheng, Yannan Xu, et al.. (2023). A Surface Potential Based Compact Model for Ferroelectric a-InGaZnO-TFTs Toward Temperature Dependent Device Characterization. IEEE Electron Device Letters. 44(3). 412–415. 9 indexed citations
15.
Wang, Lingfei, et al.. (2022). Physics-based 2D analytical potential model with disorder effects for scaling a-IGZO TFT via dual material gate engineering. Japanese Journal of Applied Physics. 61(10). 104002–104002. 1 indexed citations
16.
Ding, Yaxin, Junjie An, Jiabin Shen, et al.. (2022). Low‐Voltage and High Thermal Stability Single‐Element Te Selector with Failed Bit Pruning Operation Enabling Robust Cross‐Point Memory. Advanced Electronic Materials. 8(12). 5 indexed citations
17.
Feng, Xuewei, Sifan Li, Swee Liang Wong, et al.. (2021). Self-Selective Multi-Terminal Memtransistor Crossbar Array for In-Memory Computing. ACS Nano. 15(1). 1764–1774. 136 indexed citations
18.
Wang, Lingfei, Lin Wang, Kah‐Wee Ang, Aaron Thean, & Gengchiau Liang. (2018). A Surface Potential- and Physics- Based Compact Model for 2D Polycrystalline-MoS<inf>2</inf>FET with Resistive Switching Behavior in Neuromorphic Computing. 24.5.1–24.5.4. 2 indexed citations
19.
Wang, Wei, Yang Li, Ming Wang, et al.. (2016). A hardware neural network for handwritten digits recognition using binary RRAM as synaptic weight element. 50–51. 8 indexed citations
20.
Xu, Guangwei, Ling Li, Ming Liu, et al.. (2015). A Surface Potential-Based Gate-Leakage Current Model for Organic Thin-Film Transistors. IEEE Transactions on Electron Devices. 62(12). 4225–4230. 4 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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