H. Wang

9.7k total citations · 10 hit papers
75 papers, 6.4k citations indexed

About

H. Wang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, H. Wang has authored 75 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Atomic and Molecular Physics, and Optics, 38 papers in Artificial Intelligence and 7 papers in Biomedical Engineering. Recurrent topics in H. Wang's work include Quantum Information and Cryptography (37 papers), Quantum and electron transport phenomena (27 papers) and Quantum Computing Algorithms and Architecture (26 papers). H. Wang is often cited by papers focused on Quantum Information and Cryptography (37 papers), Quantum and electron transport phenomena (27 papers) and Quantum Computing Algorithms and Architecture (26 papers). H. Wang collaborates with scholars based in China, United States and Japan. H. Wang's co-authors include John M. Martinis, A. N. Cleland, Erik Lucero, Radoslaw C. Bialczak, M. Neeley, M. Hofheinz, M. Ansmann, D. Sank, J. Wenner and A. D. O’Connell and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

H. Wang

73 papers receiving 6.1k citations

Hit Papers

Quantum ground state and single-phonon control of a mecha... 2008 2026 2014 2020 2010 2009 2008 2010 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Wang China 37 5.5k 4.0k 1.2k 362 362 75 6.4k
Sahel Ashhab Japan 35 6.6k 1.2× 4.8k 1.2× 975 0.8× 354 1.0× 537 1.5× 87 7.5k
Irfan Siddiqi United States 41 5.1k 0.9× 4.1k 1.0× 902 0.8× 728 2.0× 617 1.7× 135 6.0k
Jonathan Simon United States 28 5.4k 1.0× 1.5k 0.4× 689 0.6× 663 1.8× 760 2.1× 75 6.1k
Yu-Ao Chen China 43 5.9k 1.1× 5.3k 1.3× 739 0.6× 204 0.6× 174 0.5× 107 6.9k
Mikko Möttönen Finland 37 3.9k 0.7× 1.8k 0.5× 898 0.8× 845 2.3× 781 2.2× 187 5.3k
E. Solano Spain 59 11.3k 2.1× 9.9k 2.5× 938 0.8× 351 1.0× 1.0k 2.9× 284 13.5k
Lin Tian United States 32 4.5k 0.8× 2.6k 0.7× 1.4k 1.2× 372 1.0× 233 0.6× 100 4.9k
Simon Gustavsson United States 32 4.1k 0.7× 3.1k 0.8× 978 0.8× 422 1.2× 421 1.2× 84 5.0k
Masahide Sasaki Japan 43 4.3k 0.8× 4.2k 1.0× 1.9k 1.6× 108 0.3× 79 0.2× 266 6.4k
Philipp Schindler Germany 41 6.0k 1.1× 4.6k 1.1× 2.3k 1.9× 245 0.7× 447 1.2× 134 8.1k

Countries citing papers authored by H. Wang

Since Specialization
Citations

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

Fields of papers citing papers by H. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of H. Wang. A scholar is included among the top collaborators of H. Wang 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 H. Wang. H. Wang 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.
Song, Zixuan, Pengfei Zhang, Hekang Li, et al.. (2025). Observation of quantum Darwinism and the origin of classicality with superconducting circuits. Science Advances. 11(31). eadx6857–eadx6857.
2.
Wang, H., et al.. (2025). Integrating Generative Artificial Intelligence techniques into technology function matrix analysis. World Patent Information. 81. 102352–102352. 4 indexed citations
3.
Xu, Da, Hekang Li, Yi‐Pu Wang, et al.. (2023). Quantum Control of a Single Magnon in a Macroscopic Spin System. Physical Review Letters. 130(19). 193603–193603. 102 indexed citations breakdown →
4.
Teng, J. X., H. Wang, Jing Lu, et al.. (2023). New positive-parity bands in Ag110 and systematic studies in silver isotopes. Physical review. C. 108(2). 1 indexed citations
5.
Deng, Jinfeng, Hang Dong, Yaozu Wu, et al.. (2022). Observing the quantum topology of light. Science. 378(6623). 966–971. 41 indexed citations
6.
Huang, Kaixuan, Chao Song, Kai Xu, et al.. (2021). Quantum generative adversarial networks with multiple superconducting qubits. npj Quantum Information. 7(1). 24 indexed citations
8.
Ren, Wenhui, Wuxin Liu, Chao Song, et al.. (2020). Simultaneous Excitation of Two Noninteracting Atoms with Time-Frequency Correlated Photon Pairs in a Superconducting Circuit. Physical Review Letters. 125(13). 133601–133601. 17 indexed citations
9.
Wang, Zhen, Hekang Li, Xiaohui Song, et al.. (2020). Controllable Switching between Superradiant and Subradiant States in a 10-qubit Superconducting Circuit. Physical Review Letters. 124(1). 13601–13601. 82 indexed citations
10.
Song, Chao, Kai Xu, Hekang Li, et al.. (2019). Generation of multicomponent atomic Schrödinger cat states of up to 20 qubits. Science. 365(6453). 574–577. 240 indexed citations breakdown →
11.
Xu, Kai, Jinjun Chen, Yu Zeng, et al.. (2018). Emulating Many-Body Localization with a Superconducting Quantum Processor. Physical Review Letters. 120(5). 50507–50507. 164 indexed citations
12.
Zheng, Yarui, Chao Song, Ming-Cheng Chen, et al.. (2017). Solving Systems of Linear Equations with a Superconducting Quantum Processor. Physical Review Letters. 118(21). 210504–210504. 73 indexed citations
13.
Xu, Kai, et al.. (2016). Suppression of Dephasing by Qubit Motion in Superconducting Circuits. Physical Review Letters. 116(1). 10501–10501. 23 indexed citations
14.
Zhou, Yulong, et al.. (2013). Capsaicin inhibits Porphyromonas gingivalis growth, biofilm formation, gingivomucosal inflammatory cytokine secretion, and in vitro osteoclastogenesis. European Journal of Clinical Microbiology & Infectious Diseases. 33(2). 211–219. 47 indexed citations
15.
Wenner, J., Yi Yin, Erik Lucero, et al.. (2013). Excitation of Superconducting Qubits from Hot Nonequilibrium Quasiparticles. Physical Review Letters. 110(15). 150502–150502. 50 indexed citations
16.
Xu, Yanyan, Jie Jin, H. Wang, et al.. (2012). The regulatory/cytotoxic infiltrating T cells in early renal surveillance biopsies predicts acute rejection and survival. Nephrology Dialysis Transplantation. 27(7). 2958–2965. 13 indexed citations
17.
Sank, D., R. Barends, Radoslaw C. Bialczak, et al.. (2012). Flux Noise Probed with Real Time Qubit Tomography in a Josephson Phase Qubit. Physical Review Letters. 109(6). 67001–67001. 46 indexed citations
18.
Zhai, Chun, et al.. (2011). Rice dehydrin K-segments have in vitro antibacterial activity. Biochemistry (Moscow). 76(6). 645–650. 15 indexed citations
19.
Wang, H., M. Hofheinz, M. Ansmann, et al.. (2009). Decoherence Dynamics of Complex Photon States in a Superconducting Circuit. Physical Review Letters. 103(20). 200404–200404. 37 indexed citations
20.
Katz, Nadav, M. Neeley, M. Ansmann, et al.. (2008). Reversal of the Weak Measurement of a Quantum State in a Superconducting Phase Qubit. Physical Review Letters. 101(20). 200401–200401. 192 indexed citations breakdown →

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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