G. Hu

4.7k total citations · 1 hit paper
65 papers, 3.5k citations indexed

About

G. Hu is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, G. Hu has authored 65 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Atomic and Molecular Physics, and Optics, 28 papers in Electrical and Electronic Engineering and 26 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in G. Hu's work include Magnetic properties of thin films (57 papers), Advanced Memory and Neural Computing (17 papers) and Ferroelectric and Negative Capacitance Devices (16 papers). G. Hu is often cited by papers focused on Magnetic properties of thin films (57 papers), Advanced Memory and Neural Computing (17 papers) and Ferroelectric and Negative Capacitance Devices (16 papers). G. Hu collaborates with scholars based in United States, Germany and China. G. Hu's co-authors include Y. Suzuki, D. C. Worledge, B. D. Terris, Thomas Thomson, P. L. Trouilloud, J. Z. Sun, S. Brown, J. Nowak, E. J. O’Sullivan and M. C. Gaidis and has published in prestigious journals such as Physical Review Letters, Nature Materials and Nano Letters.

In The Last Decade

G. Hu

64 papers receiving 3.4k citations

Hit Papers

Spin torque switching of ... 2011 2026 2016 2021 2011 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G. Hu 2.6k 1.5k 1.3k 1.2k 707 65 3.5k
S. N. Piramanayagam 2.9k 1.1× 1.8k 1.2× 1.2k 0.9× 1.3k 1.1× 823 1.2× 219 4.0k
N. C. Emley 3.3k 1.3× 1.2k 0.8× 2.0k 1.6× 1.7k 1.4× 1.0k 1.5× 20 5.0k
E. J. O’Sullivan 2.2k 0.9× 1.3k 0.9× 922 0.7× 1.9k 1.6× 753 1.1× 68 3.7k
D. D. Djayaprawira 3.6k 1.4× 1.6k 1.1× 1.4k 1.1× 1.3k 1.1× 969 1.4× 71 4.0k
R. Sbiaa 2.1k 0.8× 1.3k 0.9× 772 0.6× 986 0.8× 616 0.9× 134 2.7k
Wen Siang Lew 1.8k 0.7× 812 0.6× 937 0.7× 1.7k 1.4× 663 0.9× 219 3.5k
Jun Hayakawa 2.7k 1.1× 1.4k 1.0× 1.2k 0.9× 1.7k 1.4× 556 0.8× 47 3.6k
Claude Chappert 2.6k 1.0× 1.1k 0.8× 1.0k 0.8× 2.5k 2.1× 566 0.8× 60 4.3k
Reinoud Lavrijsen 2.1k 0.8× 1.0k 0.7× 679 0.5× 988 0.8× 854 1.2× 94 2.7k
Taro Nagahama 4.0k 1.6× 2.0k 1.4× 2.2k 1.7× 1.5k 1.3× 1.2k 1.6× 112 5.1k

Countries citing papers authored by G. Hu

Since Specialization
Citations

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

Fields of papers citing papers by G. Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Hu

This figure shows the co-authorship network connecting the top 25 collaborators of G. Hu. A scholar is included among the top collaborators of G. Hu 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 G. Hu. G. Hu 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.
Safranski, Christopher, et al.. (2025). High-Efficiency Continuous Spin-Conduction through NiO/Cu Bilayer Structure. Nano Letters. 25(10). 3851–3857. 3 indexed citations
2.
Gottwald, M., G. Hu, P. L. Trouilloud, et al.. (2024). First Demonstration of High Retention Energy Barriers and 2 ns Switching, Using Magnetic Ordered-Alloy-Based STT MRAM Devices. 1–2. 1 indexed citations
3.
Worledge, D. C. & G. Hu. (2024). Spin-transfer torque magnetoresistive random access memory technology status and future directions. 1(11). 730–747. 15 indexed citations
4.
Worledge, D. C. & G. Hu. (2023). A snapshot review of double magnetic junctions for STT-MRAM. MRS Advances. 8(5). 131–137. 6 indexed citations
5.
Safranski, Christopher, G. Hu, J. Z. Sun, et al.. (2022). Reliable Sub-Nanosecond Switching in Magnetic Tunnel Junctions for MRAM Applications. IEEE Transactions on Electron Devices. 69(12). 7180–7183. 13 indexed citations
6.
Safranski, Christopher, J.H. Kaiser, P. L. Trouilloud, et al.. (2021). Demonstration of Nanosecond Operation in Stochastic Magnetic Tunnel Junctions. Nano Letters. 21(5). 2040–2045. 70 indexed citations
7.
Yuasa, Shinji, K. Hono, G. Hu, & D. C. Worledge. (2018). Materials for spin-transfer-torque magnetoresistive random-access memory. MRS Bulletin. 43(5). 352–357. 46 indexed citations
8.
Nowak, J., J. Z. Sun, G. Hu, et al.. (2016). Dependence of Voltage and Size on Write Error Rates in Spin-Transfer Torque Magnetic Random-Access Memory. IEEE Magnetics Letters. 7. 1–4. 109 indexed citations
9.
Liu, Luqiao, et al.. (2014). Spin Hall effect tunneling spectroscopy. Bulletin of the American Physical Society. 2014.
10.
Lin, Song, Ying Yi, Limei Hao, et al.. (2014). Facile and green fabrication of electrospun poly(vinyl alcohol) nanofibrous mats doped with narrowly dispersed silver nanoparticles. International Journal of Nanomedicine. 9. 3937–3937. 36 indexed citations
11.
Hu, G., Teya Topuria, Philip M. Rice, Jean Jordan‐Sweet, & D. C. Worledge. (2013). Optimization of Tunneling Magnetoresistance in Perpendicular Magnetic Tunnel Junctions With Co|Pd Reference Layers. IEEE Magnetics Letters. 4. 3000104–3000104. 25 indexed citations
12.
Nowak, J., R. P. Robertazzi, J. Z. Sun, et al.. (2011). Demonstration of ultralow bit error rates for spin-torque magnetic random-access memory with perpendicular magnetic anisotropy. IEEE Magnetics Letters. 2. 3000204–3000204. 66 indexed citations
13.
Sun, J. Z., R. P. Robertazzi, J. Nowak, et al.. (2011). Effect of subvolume excitation and spin-torque efficiency on magnetic switching. Physical Review B. 84(6). 128 indexed citations
14.
Pan, Bifeng, Daxiang Cui, Ping Xu, et al.. (2009). Synthesis and characterization of polyamidoamine dendrimer-coated multi-walled carbon nanotubes and their application in gene delivery systems. Nanotechnology. 20(12). 125101–125101. 115 indexed citations
15.
Sun, J. Z., M. C. Gaidis, E. J. O’Sullivan, et al.. (2009). A three-terminal spin-torque-driven magnetic switch. Applied Physics Letters. 95(8). 58 indexed citations
16.
Thomson, Thomas, G. Hu, & B. D. Terris. (2006). Intrinsic Distribution of Magnetic Anisotropy in Thin Films Probed by Patterned Nanostructures. Physical Review Letters. 96(25). 257204–257204. 251 indexed citations
17.
Ulbrich, T. C., Denys Makarov, G. Hu, et al.. (2006). Magnetization Reversal in a Novel Gradient Nanomaterial. Physical Review Letters. 96(7). 77202–77202. 88 indexed citations
18.
Albrecht, M., G. Hu, I. L. Guhr, et al.. (2005). Magnetic multilayers on nanospheres. Nature Materials. 4(3). 203–206. 290 indexed citations
19.
Hu, G. & Y. Suzuki. (2002). Negative Spin Polarization ofFe3O4in Magnetite/Manganite-Based Junctions. Physical Review Letters. 89(27). 276601–276601. 227 indexed citations
20.
Dale, Darren, et al.. (1999). In-plane uniaxial magnetic anisotropy of cobalt-doped Y3Fe5O12 epitaxial films. Applied Physics Letters. 74(20). 3026–3028. 6 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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