Yaqing Shen

809 total citations · 1 hit paper
17 papers, 389 citations indexed

About

Yaqing Shen is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yaqing Shen has authored 17 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 6 papers in Materials Chemistry and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yaqing Shen's work include Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and Semiconductor materials and devices (5 papers). Yaqing Shen is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and Semiconductor materials and devices (5 papers). Yaqing Shen collaborates with scholars based in Saudi Arabia, Spain and China. Yaqing Shen's co-authors include Mario Lanza, Wenwen Zheng, Kaichen Zhu, Yingwen Liu, J.B. Roldán, Xu Jing, Chao Wen, Yue Yuan, Sebastián Pazos and D. Maldonado and has published in prestigious journals such as Nature, Advanced Materials and ACS Nano.

In The Last Decade

Yaqing Shen

16 papers receiving 379 citations

Hit Papers

align trajectories

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.

Synaptic and neural behaviours in a standard silicon transistor

2025 26 citations Sebastián Pazos, Kaichen Zhu et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaqing Shen Saudi Arabia	11	338	141	100	54	42	17	389
William A. Gaviria Rojas United States	7	313 0.9×	171 1.2×	92 0.9×	55 1.0×	67 1.6×	10	399
Hasita Veluri Singapore	6	355 1.1×	168 1.2×	78 0.8×	46 0.9×	39 0.9×	14	397
Fernando Aguirre Argentina	12	493 1.5×	141 1.0×	143 1.4×	60 1.1×	46 1.1×	56	571
Sebastián Pazos Argentina	12	481 1.4×	169 1.2×	101 1.0×	60 1.1×	65 1.5×	63	576
Jianmin Zeng China	9	335 1.0×	85 0.6×	113 1.1×	119 2.2×	41 1.0×	22	384
Jiajie Yu China	10	389 1.2×	100 0.7×	97 1.0×	60 1.1×	57 1.4×	31	418
Maheswari Sivan Singapore	9	437 1.3×	202 1.4×	103 1.0×	53 1.0×	59 1.4×	16	488
Zheng Chai United Kingdom	15	417 1.2×	190 1.3×	55 0.6×	85 1.6×	64 1.5×	39	547
Gilbert Sassine France	11	279 0.8×	56 0.4×	60 0.6×	82 1.5×	43 1.0×	18	309
Joon Sohn United States	12	588 1.7×	220 1.6×	139 1.4×	108 2.0×	28 0.7×	16	683

Countries citing papers authored by Yaqing Shen

Since Specialization

Citations

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

Fields of papers citing papers by Yaqing Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaqing Shen

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

All Works

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17 of 17 papers shown

Zheng, Wenwen, Sebastián Pazos, Yue Yuan, et al.. (2025). Scalable Production of Highly‐Reliable Graphene‐Based Microchips. Advanced Materials. 37(43). e10501–e10501.

Pazos, Sebastián, Kaichen Zhu, Marco A. Villena, et al.. (2025). Synaptic and neural behaviours in a standard silicon transistor. Nature. 640(8057). 69–76. 26 indexed citations breakdown →

Shen, Yaqing, Sebastián Pazos, Wenwen Zheng, et al.. (2025). MoS₂ Transistors with 4 nm hBN Gate Dielectric and 0.46 V Threshold Voltage. ACS Nano. 19(17). 16903–16912. 3 indexed citations

Zheng, Wenwen, Marco A. Villena, Kaichen Zhu, et al.. (2024). The origin and mitigation of defects induced by metal evaporation in 2D materials. Materials Science and Engineering R Reports. 160. 100831–100831. 9 indexed citations

Pazos, Sebastián, Yaqing Shen, Haoran Zhang, et al.. (2024). Memristive circuits based on multilayer hexagonal boron nitride for millimetre-wave radiofrequency applications. Nature Electronics. 7(7). 557–566. 10 indexed citations

Shen, Yaqing, Kaichen Zhu, Theresia Knobloch, et al.. (2024). Two-dimensional-materials-based transistors using hexagonal boron nitride dielectrics and metal gate electrodes with high cohesive energy. Nature Electronics. 7(10). 856–867. 14 indexed citations

Roldán, J.B., Joaquı́n J. Torres, D. Maldonado, et al.. (2024). Stochastic resonance in 2D materials based memristors. npj 2D Materials and Applications. 8(1). 11 indexed citations

Hui, Fei, Conghui Zhang, Huan-Huan Yu, et al.. (2023). Self‐Assembly of Janus Graphene Oxide via Chemical Breakdown for Scalable High‐Performance Memristors. Advanced Functional Materials. 34(15). 11 indexed citations

Maldonado, D., Francisco M. Gómez‐Campos, Yue Yuan, et al.. (2023). 3D simulation of conductive nanofilaments in multilayer h-BN memristors via a circuit breaker approach. Materials Horizons. 11(4). 949–957. 4 indexed citations

10.

Pazos, Sebastián, Marco A. Villena, Wenwen Zheng, et al.. (2023). High‐Temporal‐Resolution Characterization Reveals Outstanding Random Telegraph Noise and the Origin of Dielectric Breakdown in h‐BN Memristors. Advanced Functional Materials. 34(15). 27 indexed citations

11.

Roldán, J.B., et al.. (2023). Conductance quantization in h-BN memristors. Applied Physics Letters. 122(20). 7 indexed citations

12.

Pazos, Sebastián, Wenwen Zheng, Tommaso Zanotti, et al.. (2022). Hardware implementation of a true random number generator integrating a hexagonal boron nitride memristor with a commercial microcontroller. Nanoscale. 15(5). 2171–2180. 24 indexed citations

13.

Roldán, J.B., D. Maldonado, Francisco Alonso, et al.. (2022). Modeling the Variability of Au/Ti/h-BN/Au Memristive Devices. IEEE Transactions on Electron Devices. 70(4). 1533–1539. 8 indexed citations

14.

Krishnaprasad, Adithi, Durjoy Dev, Sang Sub Han, et al.. (2022). MoS₂ Synapses with Ultra-low Variability and Their Implementation in Boolean Logic. ACS Nano. 16(2). 2866–2876. 69 indexed citations

15.

Roldán, J.B., D. Maldonado, E. Moreno, et al.. (2022). Spiking neural networks based on two-dimensional materials. npj 2D Materials and Applications. 6(1). 36 indexed citations

16.

Shen, Yaqing, Wenwen Zheng, Kaichen Zhu, et al.. (2021). Variability and Yield in h‐BN‐Based Memristive Circuits: The Role of Each Type of Defect. Advanced Materials. 33(41). e2103656–e2103656. 93 indexed citations

17.

Zheng, Wenwen, Fernán Saiz, Yaqing Shen, et al.. (2021). Defect‐Free Metal Deposition on 2D Materials via Inkjet Printing Technology. Advanced Materials. 34(48). e2104138–e2104138. 37 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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