Hai Li

1.1k total citations
68 papers, 684 citations indexed

About

Hai Li is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Hai Li has authored 68 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 29 papers in Atomic and Molecular Physics, and Optics and 21 papers in Materials Chemistry. Recurrent topics in Hai Li's work include Magnetic properties of thin films (28 papers), Ferroelectric and Negative Capacitance Devices (15 papers) and Advanced Memory and Neural Computing (12 papers). Hai Li is often cited by papers focused on Magnetic properties of thin films (28 papers), Ferroelectric and Negative Capacitance Devices (15 papers) and Advanced Memory and Neural Computing (12 papers). Hai Li collaborates with scholars based in United States, China and Spain. Hai Li's co-authors include Jian-Gang Zhu, Jian‐Gang Zhu, Yiran Chen, Ian A. Young, Dmitri E. Nikonov, Bonan Yan, Xiaoxuan Yang, Lane W. Martin, Wenbo Zhao and David Pesquera and has published in prestigious journals such as Nature Materials, Nano Letters and Applied Physics Letters.

In The Last Decade

Hai Li

61 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai Li United States 14 307 247 144 127 107 68 684
Feng Wen China 18 750 2.4× 374 1.5× 189 1.3× 93 0.7× 73 0.7× 192 1.2k
Tadahiko Sugibayashi Japan 19 893 2.9× 428 1.7× 98 0.7× 92 0.7× 46 0.4× 81 1.1k
Hua Zhou China 12 274 0.9× 372 1.5× 75 0.5× 118 0.9× 41 0.4× 85 673
Siddharth Rao Belgium 17 565 1.8× 511 2.1× 81 0.6× 159 1.3× 44 0.4× 80 812
A. P. Thakoor United States 16 463 1.5× 139 0.6× 145 1.0× 163 1.3× 289 2.7× 67 831
P. Eliáš Slovakia 12 273 0.9× 120 0.5× 132 0.9× 66 0.5× 34 0.3× 61 590
S. V. Hattangady United States 19 974 3.2× 232 0.9× 362 2.5× 106 0.8× 172 1.6× 65 1.3k
G. Bartels Germany 15 246 0.8× 403 1.6× 149 1.0× 47 0.4× 144 1.3× 52 822
Hassen Maaref Tunisia 15 534 1.7× 306 1.2× 169 1.2× 89 0.7× 39 0.4× 80 778
Jaehoon Lee South Korea 16 846 2.8× 101 0.4× 96 0.7× 80 0.6× 39 0.4× 114 1.1k

Countries citing papers authored by Hai Li

Since Specialization
Citations

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

Fields of papers citing papers by Hai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Li. A scholar is included among the top collaborators of Hai Li 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 Hai Li. Hai Li 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.
Li, Hai, et al.. (2025). Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 45(3). 1352–1365.
2.
Chang, Sou-Chi, et al.. (2025). Investigating the Switching Dynamics of Antiferroelectric Capacitor Using Multidomain Phase-Field Approach. IEEE Journal of the Electron Devices Society. 13. 422–426.
3.
Li, Hai, et al.. (2025). Poor Man’s Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach. ACM Transactions on Design Automation of Electronic Systems. 30(5). 1–33.
4.
5.
Chang, Sou-Chi, et al.. (2024). Design Considerations for Sub-1-V 1T1C FeRAM Memory Circuits. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 10. 107–115. 1 indexed citations
6.
Lu, Anni, Jae Hur, Yuan-Chun Luo, et al.. (2023). Scalable In-Memory Clustered Annealer With Temporal Noise of Charge Trap Transistor for Large Scale Travelling Salesman Problems. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13(1). 422–435. 6 indexed citations
7.
Pham, Van Tuong, Diogo C. Vaz, Punyashloka Debashis, et al.. (2023). Quantification of spin-charge interconversion in highly resistive sputtered BixSe1−x with nonlocal spin valves. Physical review. B.. 108(10).
8.
Chang, Sou-Chi, et al.. (2023). Compact Physical Model for Ferroelectric/Antiferroelectric/Dielectric Mixed Phase Capacitors. IEEE Electron Device Letters. 45(2). 280–283. 3 indexed citations
9.
Li, Hai, et al.. (2023). Energy Efficient Logic and Memory Design With Beyond-CMOS Magnetoelectric Spin–Orbit (MESO) Technology Toward Ultralow Supply Voltage. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 9(2). 124–133. 4 indexed citations
10.
Chang, Sou-Chi, et al.. (2023). A Compact Model for Ferroelectric Capacitors Based on Multidomain Phase-Field Framework. IEEE Transactions on Electron Devices. 70(7). 3523–3529. 3 indexed citations
11.
Debashis, Punyashloka, Hai Li, Dmitri E. Nikonov, & Ian A. Young. (2022). Gaussian Random Number Generator With Reconfigurable Mean and Variance Using Stochastic Magnetic Tunnel Junctions. IEEE Magnetics Letters. 13. 1–5. 5 indexed citations
12.
Pham, Van Tuong, Diogo C. Vaz, Haozhe Yang, et al.. (2022). All-Electrical Spin-to-Charge Conversion in Sputtered BixSe1-x. Nano Letters. 22(19). 7992–7999. 8 indexed citations
13.
Nikonov, Dmitri E., et al.. (2022). Evaluating the Performances of the Ultralow Power Magnetoelectric Random Access Memory With a Physics-Based Compact Model of the Antiferromagnet/Ferromagnet Bilayer. IEEE Transactions on Electron Devices. 69(5). 2331–2337. 8 indexed citations
14.
Jiang, Yizhe, Eric Parsonnet, Alexander Qualls, et al.. (2022). Enabling ultra-low-voltage switching in BaTiO3. Nature Materials. 21(7). 779–785. 94 indexed citations
15.
Li, Hai, Dmitri E. Nikonov, Chia‐Ching Lin, et al.. (2022). Physics-Based Models for Magneto-Electric Spin-Orbit Logic Circuits. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 8(1). 10–18. 5 indexed citations
16.
Sousa, D. J. P. de, M. Sammon, Raseong Kim, et al.. (2022). Spin torque generated by valley Hall effect in WSe2. Physical review. B.. 106(18). 7 indexed citations
17.
Li, Hai, Chia‐Ching Lin, Dmitri E. Nikonov, & Ian A. Young. (2021). Differential Electrically Insulated Magnetoelectric Spin-Orbit Logic Circuits. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 7(1). 18–25. 8 indexed citations
18.
Nikonov, Dmitri E., Hai Li, Telesphor Kamgaing, et al.. (2020). Convolution Inference via Synchronization of a Coupled CMOS Oscillator Array. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 6(2). 170–176. 19 indexed citations
19.
Chen, Fan, Zheng Li, Wang Kang, et al.. (2018). Process variation aware data management for magnetic skyrmions racetrack memory. Asia and South Pacific Design Automation Conference. 221–226. 5 indexed citations
20.
Li, Hai, et al.. (2017). Curvature-Eliminating Head Field and Track Edge Characteristics in Heat-Assisted Magnetic Recording. IEEE Transactions on Magnetics. 53(11). 1–4. 7 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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