Yang Lv

1.8k total citations · 1 hit paper
50 papers, 1.2k citations indexed

About

Yang Lv is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Yang Lv has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Atomic and Molecular Physics, and Optics, 25 papers in Electrical and Electronic Engineering and 9 papers in Materials Chemistry. Recurrent topics in Yang Lv's work include Magnetic properties of thin films (27 papers), Advanced Memory and Neural Computing (14 papers) and Ferroelectric and Negative Capacitance Devices (10 papers). Yang Lv is often cited by papers focused on Magnetic properties of thin films (27 papers), Advanced Memory and Neural Computing (14 papers) and Ferroelectric and Negative Capacitance Devices (10 papers). Yang Lv collaborates with scholars based in United States, China and Taiwan. Yang Lv's co-authors include Jian‐Ping Wang, Mahdi Jamali, Zhengyang Zhao, K. Andre Mkhoyan, Delin Zhang, Nitin Samarth, Joon Sue Lee, Patrick Quarterman, Tony Low and Mahendra DC and has published in prestigious journals such as Nature Communications, Nature Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Yang Lv

43 papers receiving 1.1k citations

Hit Papers

Room-temperature high spin–orbit torque due to quantum co... 2018 2026 2020 2023 2018 100 200 300
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.

  1. Room-temperature high spin–orbit torque due to quantum confinement in sputtered BixSe(1–x) films
    2018 353 citations Mahendra DC, Roberto Grassi et al. Nature Materials profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Lv United States 14 879 447 351 299 234 50 1.2k
Farbod Ebrahimi United States 16 693 0.8× 587 1.3× 202 0.6× 125 0.4× 258 1.1× 25 937
Wenlong Cai China 18 977 1.1× 886 2.0× 275 0.8× 244 0.8× 407 1.7× 45 1.4k
Claudia Mewes United States 17 994 1.1× 441 1.0× 268 0.8× 238 0.8× 589 2.5× 54 1.3k
Shouzhong Peng China 16 712 0.8× 538 1.2× 246 0.7× 180 0.6× 379 1.6× 43 989
Graham E. Rowlands United States 18 982 1.1× 689 1.5× 219 0.6× 239 0.8× 435 1.9× 31 1.3k
R. W. Dave United States 14 993 1.1× 730 1.6× 297 0.8× 253 0.8× 361 1.5× 20 1.3k
Kaihua Cao China 21 1.1k 1.3× 1.1k 2.6× 363 1.0× 253 0.8× 443 1.9× 75 1.8k
Chando Park United States 9 668 0.8× 666 1.5× 347 1.0× 157 0.5× 267 1.1× 10 1.1k
Yangqi Huang China 11 699 0.8× 465 1.0× 160 0.5× 245 0.8× 259 1.1× 19 956
D. Houssameddine France 16 1.2k 1.3× 789 1.8× 184 0.5× 380 1.3× 398 1.7× 27 1.5k

Countries citing papers authored by Yang Lv

Since Specialization
Citations

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

Fields of papers citing papers by Yang Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Lv. A scholar is included among the top collaborators of Yang Lv 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 Yang Lv. Yang Lv 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, Delin, Yang Lv, Shuang Liang, et al.. (2025). Energy-Efficient Stochastic Signal Manipulation in Superparamagnetic Tunnel Junctions via Voltage-Controlled Exchange Coupling. Nano Letters. 25(23). 9181–9188. 2 indexed citations
2.
3.
Chowdhury, Zamshed I., et al.. (2024). On Error Correction for Nonvolatile Processing-In-Memory. 678–692. 2 indexed citations
4.
Yun, Hwanhui, Deyuan Lyu, Yang Lv, et al.. (2024). Uncovering Atomic Migrations Behind Magnetic Tunnel Junction Breakdown. ACS Nano. 18(37). 25708–25715. 3 indexed citations
5.
Lyu, Deyuan, Silu Guo, Yang Lv, et al.. (2024). Electrical control of the switching layer in perpendicular magnetic tunnel junctions with atomically thin Ir dusting. Applied Physics Letters. 124(18). 3 indexed citations
6.
Lv, Yang & Jian‐Ping Wang. (2023). Manufacturability Evaluation of Magnetic Tunnel Junction-Based Computational Random Access Memory. IEEE Transactions on Magnetics. 60(5). 1–7. 1 indexed citations
7.
Lv, Yang, et al.. (2023). A Stochastic Computing Scheme of Embedding Random Bit Generation and Processing in Computational Random Access Memory (SC-CRAM). IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 9(1). 29–37. 5 indexed citations
8.
Lv, Yang, et al.. (2022). Bipolar Random Spike and Bipolar Random Number Generation by Two Magnetic Tunnel Junctions. IEEE Transactions on Electron Devices. 69(3). 1582–1587. 10 indexed citations
9.
Lyu, Deyuan, Yang Lv, Hwanhui Yun, et al.. (2022). Sub-ns Switching and Cryogenic-Temperature Performance of Mo-Based Perpendicular Magnetic Tunnel Junctions. IEEE Electron Device Letters. 43(8). 1215–1218. 10 indexed citations
10.
11.
Guo, Silu, Delin Zhang, T. Peterson, et al.. (2022). Observation of unidirectional spin Hall magnetoresistance in amorphous PtSn4/CoFeB bilayers. Applied Physics Letters. 121(9). 7 indexed citations
12.
Lv, Yang, et al.. (2022). Review of Magnetic Tunnel Junctions for Stochastic Computing. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 8(2). 173–184. 20 indexed citations
13.
14.
15.
DC, Mahendra, Roberto Grassi, Junyang Chen, et al.. (2018). Room-temperature high spin–orbit torque due to quantum confinement in sputtered BixSe(1–x) films. Nature Materials. 17(9). 800–807. 353 indexed citations breakdown →
16.
Quarterman, Patrick, Javier García‐Barriocanal, Mahendra DC, et al.. (2018). Demonstration of Ru as the 4th ferromagnetic element at room temperature. Nature Communications. 9(1). 2058–2058. 25 indexed citations
17.
Lv, Yang, James Kally, Delin Zhang, et al.. (2018). Unidirectional spin-Hall and Rashba−Edelstein magnetoresistance in topological insulator-ferromagnet layer heterostructures. Nature Communications. 9(1). 111–111. 8 indexed citations
18.
Lv, Yang, et al.. (2018). Telegraphic switching signals by magnet tunnel junctions for neural spiking signals with high information capacity. Journal of Applied Physics. 124(15). 22 indexed citations
19.
Wang, Honggang, et al.. (2015). Effective Evaluation of the Noise Factor of Microchannel Plate. SHILAP Revista de lepidopterología. 2015. 1–6. 3 indexed citations
20.

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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