Shang Yu

1.5k total citations
44 papers, 966 citations indexed

About

Shang Yu is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Shang Yu has authored 44 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atomic and Molecular Physics, and Optics, 24 papers in Artificial Intelligence and 8 papers in Materials Chemistry. Recurrent topics in Shang Yu's work include Quantum Information and Cryptography (24 papers), Quantum Mechanics and Applications (13 papers) and Quantum Computing Algorithms and Architecture (13 papers). Shang Yu is often cited by papers focused on Quantum Information and Cryptography (24 papers), Quantum Mechanics and Applications (13 papers) and Quantum Computing Algorithms and Architecture (13 papers). Shang Yu collaborates with scholars based in China, United Kingdom and Germany. Shang Yu's co-authors include Chuan‐Feng Li, Yi‐Tao Wang, Jian‐Shun Tang, Guang‐Can Guo, Ye Ming Qing, Hui Feng, Tie Jun Cui, Yu Meng, Zhi‐Jin Ke and Yuan-Ze Yang and has published in prestigious journals such as Physical Review Letters, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shang Yu

41 papers receiving 929 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shang Yu China	18	564	334	281	158	142	44	966
Falk Eilenberger Germany	20	823 1.5×	137 0.4×	331 1.2×	444 2.8×	308 2.2×	68	1.3k
A. M. Satanin Russia	14	652 1.2×	149 0.4×	114 0.4×	340 2.2×	255 1.8×	74	896
F. A. Pinheiro Brazil	19	765 1.4×	99 0.3×	158 0.6×	248 1.6×	398 2.8×	75	1.0k
Carlos Gonzalez-Ballestero Austria	18	1.2k 2.1×	460 1.4×	114 0.4×	381 2.4×	359 2.5×	38	1.4k
Abdelmounaïm Harouri France	17	745 1.3×	271 0.8×	96 0.3×	237 1.5×	173 1.2×	43	941
Weilong She China	19	962 1.7×	232 0.7×	67 0.2×	281 1.8×	250 1.8×	97	1.1k
C. Gómez France	7	1.1k 1.9×	524 1.6×	136 0.5×	667 4.2×	310 2.2×	8	1.3k
Maxim A. Gorlach Russia	17	1.0k 1.8×	84 0.3×	138 0.5×	216 1.4×	173 1.2×	65	1.1k
Ren-Gang Wan China	17	1.0k 1.8×	331 1.0×	42 0.1×	263 1.7×	296 2.1×	75	1.3k
Cristian L. Cortes United States	13	540 1.0×	130 0.4×	94 0.3×	144 0.9×	331 2.3×	29	905

Countries citing papers authored by Shang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Shang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang Yu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yu, Shang, et al.. (2025). Boosting photon-number-resolved detection rates of transition-edge sensors by machine learning. 3(3). 246–246. 1 indexed citations

Yu, Shang, et al.. (2025). Adaptive non-Gaussian quantum state engineering. Physical review. A. 112(5).

Yu, Shang, Aonan Zhang, Zhenghao Li, et al.. (2024). Shedding Light on the Future: Exploring Quantum Neural Networks through Optics. Advanced Quantum Technologies. 8(12). 6 indexed citations

Wang, B. G., Aonan Zhang, Shang Yu, et al.. (2024). Resource-Efficient Direct Characterization of General Density Matrix. Physical Review Letters. 132(3). 30201–30201. 1 indexed citations

Yu, Shang, et al.. (2024). Spin-exchange relaxation-free magnetometer enhanced by biased weak measurement. Results in Physics. 60. 107627–107627. 1 indexed citations

Qing, Ye Ming, Yunxia Wang, Zhaoyan Yang, Jun Wu, & Shang Yu. (2024). Manipulating the interaction between propagating surface plasmons and localized magnetic polaritons in a borophene-based hybrid system. Physical review. A. 109(1). 9 indexed citations

Collauto, Alberto, et al.. (2024). Unlocking the potential of photoexcited molecular electron spins for room temperature quantum information processing. SHILAP Revista de lepidopterología. 4(4). 45901–45901.

Li, Zhipeng, Yi‐Tao Wang, Shang Yu, et al.. (2022). Experimental investigation of high-efficiency weak-value amplification of nonunitary evolution. Physical review. A. 106(1). 2 indexed citations

Pan, Weiwei, Shang Yu, Geng Chen, et al.. (2021). Experimental optimal generation of hybrid entangled states in photonic quantum walks. Optics Letters. 46(8). 1868–1868. 11 indexed citations

10.

Liu, Wei, Zhipeng Li, Yuan-Ze Yang, et al.. (2021). Temperature-dependent energy-level shifts of Spin Defects in hexagonal Boron Nitride. arXiv (Cornell University). 63 indexed citations

11.

Wang, Yi‐Tao, Zhipeng Li, Shang Yu, et al.. (2020). Experimental Investigation of State Distinguishability in Parity-Time Symmetric Quantum Dynamics. Physical Review Letters. 124(23). 230402–230402. 23 indexed citations

12.

Zhang, Wen-Hao, Xiao Liu, Peng Yin, et al.. (2020). Classical communication enhanced quantum state verification. npj Quantum Information. 6(1). 11 indexed citations

13.

Yu, Shang, Yu Meng, Jian‐Shun Tang, et al.. (2020). Experimental Investigation of Quantum PT-Enhanced Sensor. Physical Review Letters. 125(24). 240506–240506. 66 indexed citations

14.

Meng, Yu, Shang Yu, Yi‐Tao Wang, et al.. (2020). Environment-induced sudden change of coherence in quantum systems. Physical review. A. 102(4). 7 indexed citations

15.

Yu, Shang, Yu Meng, Raj B. Patel, et al.. (2020). Experimental Observation of Coherent-Information Superadditivity in a Dephrasure Channel. Physical Review Letters. 125(6). 60502–60502. 4 indexed citations

16.

Yu, Shang, F. Albarrán-Arriagada, J. C. Retamal, et al.. (2019). Reconstruction of a Photonic Qubit State with Reinforcement Learning. Advanced Quantum Technologies. 2(7-8). 51 indexed citations

17.

Qing, Ye Ming, Hui Feng, Shang Yu, & Tie Jun Cui. (2018). Tunable dual-band perfect metamaterial absorber based on a graphene-SiC hybrid system by multiple resonance modes. Journal of Physics D Applied Physics. 52(1). 15104–15104. 53 indexed citations

18.

Yu, Shang, F. Albarrán-Arriagada, J. C. Retamal, et al.. (2018). Reconstruction of a Photonic Qubit State with Quantum Reinforcement Learning. arXiv (Cornell University). 2 indexed citations

19.

Yu, Shang, Yi‐Tao Wang, Zhi‐Jin Ke, et al.. (2018). Experimental Investigation of Spectra of Dynamical Maps and their Relation to non-Markovianity. Physical Review Letters. 120(6). 60406–60406. 17 indexed citations

20.

Wang, Yi‐Tao, Jian‐Shun Tang, Shang Yu, et al.. (2017). Directly Measuring the Degree of Quantum Coherence using Interference Fringes. Physical Review Letters. 118(2). 20403–20403. 73 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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