Yu-Jie Liu

429 total citations
44 papers, 275 citations indexed

About

Yu-Jie Liu is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yu-Jie Liu has authored 44 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Atomic and Molecular Physics, and Optics, 17 papers in Electrical and Electronic Engineering and 12 papers in Artificial Intelligence. Recurrent topics in Yu-Jie Liu's work include Photonic Crystals and Applications (11 papers), Photonic and Optical Devices (9 papers) and Quantum many-body systems (8 papers). Yu-Jie Liu is often cited by papers focused on Photonic Crystals and Applications (11 papers), Photonic and Optical Devices (9 papers) and Quantum many-body systems (8 papers). Yu-Jie Liu collaborates with scholars based in China, Germany and United States. Yu-Jie Liu's co-authors include Hong-Wei Yang, Frank Pollmann, Adam Smith, Simon Lieu, Kirill Shtengel, Zekun Yang, Brigitte Helmreich, Lei Xie, Jörg E. Drewes and Michael Knap and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Analytical Chemistry.

In The Last Decade

Yu-Jie Liu

40 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu-Jie Liu China	10	153	78	62	60	34	44	275
Yaoyao Zhou China	11	185 1.2×	103 1.3×	167 2.7×	41 0.7×	134 3.9×	30	435
Xiaoqiang Yu China	14	431 2.8×	279 3.6×	105 1.7×	116 1.9×	86 2.5×	33	663
Yonggang Wu China	11	193 1.3×	191 2.4×	12 0.2×	122 2.0×	43 1.3×	36	358
Koki Watanabe Japan	11	147 1.0×	151 1.9×	15 0.2×	67 1.1×	39 1.1×	49	355
Andrey A. Voronov Russia	8	178 1.2×	174 2.2×	12 0.2×	112 1.9×	23 0.7×	26	288
Zhikang Zhou China	9	263 1.7×	85 1.1×	38 0.6×	194 3.2×	41 1.2×	17	388
Huaming Wu China	12	329 2.2×	395 5.1×	28 0.5×	94 1.6×	19 0.6×	44	466
Peng Zhao Singapore	11	84 0.5×	317 4.1×	42 0.7×	42 0.7×	77 2.3×	68	400
Lei Qiao China	11	47 0.3×	54 0.7×	9 0.1×	37 0.6×	63 1.9×	27	304
Swati Rajput India	12	137 0.9×	229 2.9×	39 0.6×	112 1.9×	57 1.7×	36	306

Countries citing papers authored by Yu-Jie Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yu-Jie Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Jie Liu. 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 Yu-Jie Liu. The network helps show where Yu-Jie Liu may publish in the future.

Co-authorship network of co-authors of Yu-Jie Liu

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

All Works

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20 of 20 papers shown

Qin, L. Q., Fang Cheng, Yu-Jie Liu, et al.. (2025). Intrinsic ion migration-induced susceptible two-dimensional phase-transition memristor with ultralow power consumption. Science Bulletin. 70(13). 2116–2124. 3 indexed citations

Shtanko, Oles, Yu-Jie Liu, Simon Lieu, Alexey V. Gorshkov, & Victor V. Albert. (2025). Bounds on Autonomous Quantum Error Correction. Quantum. 9. 1804–1804. 1 indexed citations

Liu, Yu-Jie, et al.. (2025). Quantum phase transitions between symmetry-enriched fracton phases. Physical review. B.. 112(12).

Liu, Yu-Jie, et al.. (2024). Revealing the mechanism of ductility discrepancy between two 2205 duplex stainless steels containing layered and island austenite through in-situ experiment. Materials Science and Engineering A. 896. 146293–146293. 6 indexed citations

Sun, Yi, Yu-Jie Liu, Xianghong Niu, et al.. (2024). Robust half metallic properties in two-dimensional transition metal borocarbides: TMBC (TM = 3d transition metals). Applied Physics Letters. 124(13). 2 indexed citations

Teng, Xiangyu, et al.. (2024). Recent Advances in Microrobots Powered by Multi-Physics Field for Biomedical and Environmental Applications. Micromachines. 15(4). 492–492. 2 indexed citations

Yu, Shaoqing, Yu-Jie Liu, Haidong He, et al.. (2024). Relief-Surface-Based On-Chip Hybrid Diffraction Neural Network Enabled by Authentic All-Optical Fully Connected Architecture. ACS Photonics. 11(11). 4818–4829.

Liu, Yu-Jie, Kirill Shtengel, & Frank Pollmann. (2024). Simulating two-dimensional topological quantum phase transitions on a digital quantum computer. Physical Review Research. 6(4). 3 indexed citations

Liu, Yu-Jie, et al.. (2024). Prediction of Two-Dimensional Janus Transition-Metal Chalcogenides: Robust Ferromagnetic Semiconductor with High Curie Temperature. Molecules. 29(16). 3915–3915. 1 indexed citations

10.

Liu, Yu-Jie, Adam Smith, Michael Knap, & Frank Pollmann. (2023). Model-Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks. Physical Review Letters. 130(22). 220603–220603. 20 indexed citations

11.

Shi, Ying, et al.. (2022). Magnon control of light transmission in a -symmetric-like cavity magnomechanical system. Physica Scripta. 97(9). 95104–95104. 5 indexed citations

12.

Liu, Yu-Jie, Kirill Shtengel, Adam Smith, & Frank Pollmann. (2022). Methods for Simulating String-Net States and Anyons on a Digital Quantum Computer. PRX Quantum. 3(4). 34 indexed citations

13.

Li, Zheng, et al.. (2020). Macroscopic Quantum Superposition in Opto-Mechanical System with Ultrastrong Coupling Light-Matter Interaction. International Journal of Theoretical Physics. 59(3). 824–832. 3 indexed citations

14.

Dong, Boyu, Xinying Li, Yilong Yang, et al.. (2019). Properties of PVD AlN for LED Applications. 1–3. 1 indexed citations

15.

Jiang, Ping, et al.. (2019). Optimization of MOCVD Hardware Configuration and Process for Growth of High Quality (Gd,Y)BCO Superconducting Tapes Based on CFD Modeling. IEEE Transactions on Applied Superconductivity. 29(5). 1–5. 1 indexed citations

16.

Jiang, Ping, et al.. (2019). Effect of Deposition Temperature on Microstructure and Critical Current Properties of Zr-Doped GdYBCO Superconducting Tapes Made by MOCVD. IEEE Transactions on Applied Superconductivity. 29(5). 1–5. 2 indexed citations

17.

Du, Weichen, et al.. (2019). Research on Photonic Crystal–Based Biosensor for Detection of Escherichia coli Colony. Plasmonics. 14(6). 1919–1928. 14 indexed citations

18.

Liu, Yu-Jie, et al.. (2019). Research of selective UV shielding material based on photonic crystals structure. Optical Materials. 92. 267–272. 3 indexed citations

19.

Liu, Yu-Jie, et al.. (2015). Research of anti-ultraviolet nano-film structure based on the FDTD method. Optik. 127(2). 539–543. 15 indexed citations

20.

Li, Zheng, et al.. (2014). Decoherence of Quantum Tunneling Induced by Spontaneous Emission. International Journal of Theoretical Physics. 54(7). 2185–2191.

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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