Zhenqi Hao

956 total citations · 1 hit paper
24 papers, 654 citations indexed

About

Zhenqi Hao is a scholar working on Condensed Matter Physics, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Zhenqi Hao has authored 24 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Condensed Matter Physics, 9 papers in Electrical and Electronic Engineering and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Zhenqi Hao's work include Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and Physics of Superconductivity and Magnetism (7 papers). Zhenqi Hao is often cited by papers focused on Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and Physics of Superconductivity and Magnetism (7 papers). Zhenqi Hao collaborates with scholars based in China, United States and Germany. Zhenqi Hao's co-authors include Yayu Wang, Jianshi Tang, Huaqiang Wu, Xintong Li, Bin Gao, Peng Yao, He Qian, Zhengwu Liu, Yue Xi and Xinyi Li and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Zhenqi Hao

22 papers receiving 644 citations

Hit Papers

A memristor-based analogue reservoir computing system for... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenqi Hao China 10 291 233 215 200 155 24 654
Samik DuttaGupta Japan 11 348 1.2× 215 0.9× 160 0.7× 584 2.9× 63 0.4× 27 747
Patryk Krzysteczko Germany 16 570 2.0× 180 0.8× 120 0.6× 807 4.0× 74 0.5× 33 1.1k
Wenxing Lv China 14 274 0.9× 52 0.2× 252 1.2× 124 0.6× 65 0.4× 32 478
Damir Vodenicarevic France 7 379 1.3× 72 0.3× 33 0.2× 230 1.1× 212 1.4× 10 513
Juan Trastoy France 14 699 2.4× 234 1.0× 261 1.2× 321 1.6× 208 1.3× 38 1.1k
Takao Marukame Japan 20 476 1.6× 110 0.5× 584 2.7× 565 2.8× 66 0.4× 57 1.3k
Haiwen Xi United States 17 526 1.8× 359 1.5× 175 0.8× 911 4.6× 58 0.4× 54 1.2k
Jung‐Hwan Moon South Korea 11 411 1.4× 277 1.2× 124 0.6× 521 2.6× 27 0.2× 18 806
J. Larroque France 10 280 1.0× 131 0.6× 72 0.3× 60 0.3× 80 0.5× 19 454
Changming Wu United States 15 620 2.1× 40 0.2× 452 2.1× 159 0.8× 267 1.7× 39 918

Countries citing papers authored by Zhenqi Hao

Since Specialization
Citations

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

Fields of papers citing papers by Zhenqi Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenqi Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenqi Hao. A scholar is included among the top collaborators of Zhenqi Hao 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 Zhenqi Hao. Zhenqi Hao 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, Xueqi, Bin Gao, Qi Qin, et al.. (2025). Federated learning using a memristor compute-in-memory chip with in situ physical unclonable function and true random number generator. Nature Electronics. 8(6). 518–528. 4 indexed citations
2.
Wang, Ze, Zhiping Jia, Tianhao Yang, et al.. (2025). A dual-domain compute-in-memory system for general neural network inference. Nature Electronics. 8(3). 276–287. 7 indexed citations
3.
Wang, Ze, Qi Liu, Bin Gao, et al.. (2025). A full-stack memristor-based computation-in-memory system with software-hardware co-development. Nature Communications. 16(1). 2123–2123. 4 indexed citations
4.
Wang, Ze, et al.. (2024). Industry-Oriented Detection Method of PCBA Defects Using Semantic Segmentation Models. IEEE/CAA Journal of Automatica Sinica. 11(6). 1438–1446. 6 indexed citations
5.
Li, Zi-Xiang, Xintong Li, Zhenqi Hao, et al.. (2024). Emergent normal fluid in the superconducting ground state of overdoped cuprates. Nature Communications. 15(1). 4939–4939. 3 indexed citations
6.
Jia, Ke, Zhenqi Hao, Kai Liu, et al.. (2023). Tuning the Mottness in Sr3Ir2O7 via Bridging Oxygen Vacancies. Chinese Physics Letters. 40(3). 37101–37101.
8.
Zhong, Ya‐Nan, Jianshi Tang, Xinyi Li, et al.. (2022). A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing. Nature Electronics. 5(10). 672–681. 221 indexed citations breakdown →
9.
Hao, Zhenqi, Xiangyu Luo, Xintong Li, et al.. (2022). Particle–hole asymmetric superconducting coherence peaks in overdoped cuprates. Nature Physics. 18(5). 551–557. 11 indexed citations
10.
Li, Xueqi, Bin Gao, Bohan Lin, et al.. (2022). First Demonstration of Homomorphic Encryption using Multi-Functional RRAM Arrays with a Novel Noise-Modulation Scheme. 2022 International Electron Devices Meeting (IEDM). 33.5.1–33.5.4. 8 indexed citations
11.
Gao, Bin, Yuyi Liu, Peng Yao, et al.. (2022). Multi-Scale Thermal Modeling of RRAM-based 3D Monolithic-Integrated Computing-in-Memory Chips. 2022 International Electron Devices Meeting (IEDM). 15.5.1–15.5.4. 7 indexed citations
12.
Hao, Zhenqi, Bin Gao, Qi Hu, et al.. (2021). Cryogenic HfO-Based Resistive Memory With a Thermal Enhancement Capping Layer. IEEE Electron Device Letters. 42(9). 1276–1279. 17 indexed citations
13.
Hao, Zhenqi, Haiwei Li, Xintong Li, et al.. (2020). Effect of Structural Supermodulation on Superconductivity in Trilayer Cuprate Bi2Sr2Ca2Cu3O10+δ. Physical Review Letters. 124(4). 47003–47003. 16 indexed citations
14.
Hao, Zhenqi, et al.. (2020). Anomalous Doping Evolution of Superconductivity and Quasiparticle Interference in Bi2Sr2Ca2Cu3O10+δ Trilayer Cuprates. Physical Review Letters. 125(23). 237005–237005. 7 indexed citations
15.
Yuan, Yonghao, Xintong Wang, Hao Li, et al.. (2020). Electronic States and Magnetic Response of MnBi2Te4 by Scanning Tunneling Microscopy and Spectroscopy. Nano Letters. 20(5). 3271–3277. 77 indexed citations
16.
Wang, Ce, Haiwei Li, Zhenqi Hao, et al.. (2020). Machine learning identification of impurities in the STM images*. Chinese Physics B. 29(11). 116805–116805. 6 indexed citations
17.
Qiao, Shuang, Xintong Li, Naizhou Wang, et al.. (2018). Mottness collapse in 1T-TaS 2-x Se x transition metal dichalcogenide: an interplay between localized and itinerant orbitals. SHILAP Revista de lepidopterología. 2018. 26 indexed citations
18.
Qiao, Shuang, Xintong Li, Naizhou Wang, et al.. (2017). Mottness Collapse in 1TTaS2xSex Transition-Metal Dichalcogenide: An Interplay between Localized and Itinerant Orbitals. Physical Review X. 7(4). 69 indexed citations
19.
Feng, Xiao, Yang Feng, Jing Wang, et al.. (2016). Thickness Dependence of the Quantum Anomalous Hall Effect in Magnetic Topological Insulator Films. Advanced Materials. 28(30). 6386–6390. 56 indexed citations
20.
Cai, Peng, Wei Ruan, Y. Y. Peng, et al.. (2016). Visualizing the evolution from the Mott insulator to a charge-ordered insulator in lightly doped cuprates. Nature Physics. 12(11). 1047–1051. 79 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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