Weiming Cheng

692 total citations
71 papers, 543 citations indexed

About

Weiming Cheng is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Weiming Cheng has authored 71 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 31 papers in Atomic and Molecular Physics, and Optics and 28 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Weiming Cheng's work include Magnetic properties of thin films (31 papers), Advanced Memory and Neural Computing (20 papers) and Magnetic Properties and Applications (14 papers). Weiming Cheng is often cited by papers focused on Magnetic properties of thin films (31 papers), Advanced Memory and Neural Computing (20 papers) and Magnetic Properties and Applications (14 papers). Weiming Cheng collaborates with scholars based in China, Japan and Hong Kong. Weiming Cheng's co-authors include Rongzhou Gong, Peigang Li, Xian Wang, Xiangshui Miao, Lingyun Liu, Xiangshui Miao, Rui Su, Shinichi Hirose, Xingsheng Wang and Xiaomin Cheng and has published in prestigious journals such as Applied Physics Letters, ACS Applied Materials & Interfaces and Materials Science and Engineering A.

In The Last Decade

Weiming Cheng

67 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiming Cheng China 12 238 217 133 125 93 71 543
Kaifeng Dong China 15 296 1.2× 273 1.3× 401 3.0× 111 0.9× 99 1.1× 93 672
L. J. Deng China 15 264 1.1× 605 2.8× 108 0.8× 123 1.0× 108 1.2× 35 919
Yingtao Ding China 17 173 0.7× 784 3.6× 144 1.1× 141 1.1× 48 0.5× 98 1.1k
Wenqin Mo China 12 94 0.4× 310 1.4× 159 1.2× 120 1.0× 25 0.3× 66 510
A. M. Hermann United States 16 271 1.1× 92 0.4× 86 0.6× 159 1.3× 56 0.6× 59 856
Hai Li United States 14 127 0.5× 307 1.4× 247 1.9× 144 1.2× 35 0.4× 68 684
Ernst Lueder Germany 12 185 0.8× 294 1.4× 124 0.9× 87 0.7× 35 0.4× 60 524
Kai–Chiang Wu Taiwan 14 48 0.2× 467 2.2× 35 0.3× 38 0.3× 78 0.8× 70 667
Guoqiang Lv China 17 167 0.7× 242 1.1× 305 2.3× 108 0.9× 107 1.2× 94 897
Philippe Soussan Belgium 18 73 0.3× 861 4.0× 188 1.4× 50 0.4× 68 0.7× 91 1.0k

Countries citing papers authored by Weiming Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Weiming Cheng. A scholar is included among the top collaborators of Weiming Cheng 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 Weiming Cheng. Weiming Cheng 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.
Zhang, Jun, Huajun Sun, Sheng Hu, et al.. (2025). An ion-gating synaptic memristor based on tri-layer HfOx composition regulation. Journal of Materials Chemistry C. 13(10). 5326–5331.
2.
Sun, Huajun, Jun Zhang, Kan‐Hao Xue, et al.. (2025). Ferroelectric Compensation Effect of the Hard Electrode for the HfO2‐ZrO2 Superlattice Films at the Low‐Annealing Temperature. Advanced Electronic Materials. 11(13). 1 indexed citations
3.
Su, Rui, Ying Yang, Weiming Cheng, et al.. (2025). Forming-Free Resistive Switching Behavior in Pt/NiFe2O4/SrRuO3 Devices: Simulation and Experimental Insights Into Oxygen Vacancy Engineering. IEEE Transactions on Electron Devices. 72(4). 1723–1729.
4.
Su, Rui, et al.. (2024). Improved cycling stability and ON/OFF ratio of SrFeOx topological phase transition memristors using a La0.7Sr0.3MnO3 bottom electrode. Journal of Materials Chemistry C. 12(16). 5810–5817. 1 indexed citations
5.
Sun, Huajun, Weiming Cheng, Qiang He, et al.. (2024). Synapse Neurotransmitter Channel‐Inspired AlO x Memristor with “V” Type Oxygen Vacancy Distribution. Small Methods. 8(12). e2301657–e2301657. 6 indexed citations
6.
Su, Rui, et al.. (2023). Orthorhombic phase induced ultra-low operation voltage in La-doped BiFeO3 resistive switching devices. Ceramics International. 49(17). 28080–28088. 10 indexed citations
8.
Yang, Ling, et al.. (2023). High-Efficient Memristive Genetic Algorithm for Feature Selection. IEEE Transactions on Electron Devices. 70(8). 4163–4169. 5 indexed citations
9.
Su, Rui, et al.. (2023). Oxygen ion migration induced polarity switchable SrFeOx memristor for high-precision handwriting recognition. Applied Surface Science. 617. 156620–156620. 16 indexed citations
10.
Wang, Chengxu, Ge‐Qi Mao, Jun‐Hui Yuan, et al.. (2022). HfOx/AlOy Superlattice‐Like Memristive Synapse. Advanced Science. 9(21). e2201446–e2201446. 47 indexed citations
11.
Wang, Shaobing, Kheong Sann Chan, Wei Chen, et al.. (2019). A Study on Block-Based Neural Network Equalization in TDMR System With LDPC Coding. IEEE Transactions on Magnetics. 55(11). 1–5. 10 indexed citations
12.
Wang, Shaobing, et al.. (2019). Joint Four-Reader Array Equalization and Detection for a Single Track in TDMR. IEEE Transactions on Magnetics. 55(12). 1–6. 1 indexed citations
13.
Wang, Shaobing, et al.. (2019). Read Channel Modeling and Neural Network Block Predictor for Two-Dimensional Magnetic Recording. IEEE Transactions on Magnetics. 56(1). 1–5. 7 indexed citations
14.
Wang, Sicong, Wei Chen, Yuanhua Feng, et al.. (2018). All-optical helicity-dependent magnetic switching by first-order azimuthally polarized vortex beams. Applied Physics Letters. 113(17). 18 indexed citations
15.
Cheng, Weiming, et al.. (2017). Transport mechanism of the magnetoresistance effects in Ta/CoFe2O4 nanostructures. Applied Physics Letters. 110(19). 8 indexed citations
16.
Dong, Kaifeng, et al.. (2017). Effect of Amorphous/Crystalline Material Doping on the Microstructure and Magnetic Properties of FePt Thin Films. IEEE Transactions on Magnetics. 53(11). 1–4. 4 indexed citations
17.
Cheng, Weiming, et al.. (2017). Laser induced ultrafast magnetization reversal in TbCo film. AIP Advances. 7(5). 7 indexed citations
18.
Cheng, Weiming, et al.. (2016). Explorations on size limit of L1-FePt nanoparticles for practical magnetic storage. AIP Advances. 6(11). 5 indexed citations
19.
Ling, Zhou, Fang Jin, Weiming Cheng, & Yue Zhang. (2014). Simulation of Giant Magnetic Impedance (GMI) Effect in Co-based Amorphous Ribbons with Demagnetizing Field. Journal of Superconductivity and Novel Magnetism. 27(7). 1769–1775. 7 indexed citations
20.
Dong, Kaifeng, et al.. (2009). Effect of Ni doping on the microstructure and magnetic properties of FePt films. Rare Metals. 28(3). 257–260. 5 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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