Honghui Shang

1.0k total citations
68 papers, 712 citations indexed

About

Honghui Shang is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Honghui Shang has authored 68 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Materials Chemistry, 31 papers in Atomic and Molecular Physics, and Optics and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Honghui Shang's work include Advanced Chemical Physics Studies (21 papers), Machine Learning in Materials Science (20 papers) and Quantum Computing Algorithms and Architecture (10 papers). Honghui Shang is often cited by papers focused on Advanced Chemical Physics Studies (21 papers), Machine Learning in Materials Science (20 papers) and Quantum Computing Algorithms and Architecture (10 papers). Honghui Shang collaborates with scholars based in China, United States and Germany. Honghui Shang's co-authors include Jinlong Yang, Zhenyu Li, Matthias Scheffler, Christian Carbogno, Patrick Rinke, Hongjun Xiang, Xinming Qin, Jie Liu, Jin Zhao and Chu Guo and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Honghui Shang

59 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Honghui Shang China 16 426 242 193 101 86 68 712
Jonathan E. Moussa United States 14 287 0.7× 342 1.4× 210 1.1× 87 0.9× 88 1.0× 25 657
Zhi‐Hao Cui United States 16 403 0.9× 420 1.7× 162 0.8× 104 1.0× 176 2.0× 22 910
Pai Peng China 16 237 0.6× 484 2.0× 256 1.3× 77 0.8× 227 2.6× 33 841
Lan Nguyen Tran Japan 14 161 0.4× 466 1.9× 101 0.5× 93 0.9× 57 0.7× 29 675
Joonsuk Huh South Korea 21 328 0.8× 497 2.1× 256 1.3× 83 0.8× 524 6.1× 75 1.2k
Rocco Gaudenzi Netherlands 10 158 0.4× 249 1.0× 244 1.3× 155 1.5× 28 0.3× 17 493
Florian Lorenzen Germany 4 194 0.5× 459 1.9× 111 0.6× 68 0.7× 52 0.6× 7 684
Adi Makmal Israel 11 205 0.5× 319 1.3× 108 0.6× 53 0.5× 189 2.2× 20 633
Martina Stella United Kingdom 10 199 0.5× 398 1.6× 96 0.5× 31 0.3× 29 0.3× 13 605
Subhadeep Datta India 16 362 0.8× 301 1.2× 239 1.2× 231 2.3× 61 0.7× 47 743

Countries citing papers authored by Honghui Shang

Since Specialization
Citations

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

Fields of papers citing papers by Honghui Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Honghui Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Honghui Shang. A scholar is included among the top collaborators of Honghui Shang 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 Honghui Shang. Honghui Shang 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.
2.
Shang, Honghui, Xiaobing Feng, Xin Chen, et al.. (2025). TensorMD: Molecular Dynamics Simulation with Ab Initio Accuracy of 50 Billion Atoms. 551–553.
3.
Shang, Honghui, et al.. (2025). Clifford augmented density matrix renormalization group for ab initio quantum chemistry. Physical review. B.. 112(19).
4.
5.
Wu, Yangjun, et al.. (2025). Bridging the Gap between Transformer-Based Neural Networks and Tensor Networks for Quantum Chemistry. Journal of Chemical Theory and Computation. 21(7). 3426–3439. 2 indexed citations
6.
Zhang, Yao, Leilei Zhu, Weijian Tao, et al.. (2024). Transient Photoinduced Pb2+ Disproportionation for Exciton Self-Trapping and Broadband Emission in Low-Dimensional Lead Halide Perovskites. Journal of the American Chemical Society. 146(11). 7831–7838. 16 indexed citations
7.
Shang, Honghui, Fei Wang, Qi Liu, et al.. (2024). Large-scale quantum emulating simulations of biomolecules: A pilot exploration of parallel quantum computing. Science Bulletin. 69(7). 876–880.
8.
Shang, Honghui, et al.. (2024). Efficient Structural Relaxation Based on the Random Phase Approximation: Applications to Water Clusters. The Journal of Physical Chemistry A. 128(37). 7939–7949. 2 indexed citations
9.
Liu, Jie, et al.. (2024). Quantum-centric high performance computing for quantum chemistry. Physical Chemistry Chemical Physics. 26(22). 15831–15843. 3 indexed citations
10.
Liu, Jie, et al.. (2023). Multiscale quantum algorithms for quantum chemistry. Chemical Science. 14(12). 3190–3205. 27 indexed citations
11.
12.
13.
Xu, Lei, Honghui Shang, Xin Chen, et al.. (2023). Redesigning OpenKMC for Multi-Component Trillion-Atom Simulations on the New Sunway Supercomputer. IEEE Transactions on Parallel and Distributed Systems. 34(7). 1997–2010. 2 indexed citations
14.
Qin, Xinming, Honghui Shang, & Jinlong Yang. (2023). Efficient implementation of analytical gradients for periodic hybrid functional calculations within fitted numerical atomic orbitals from NAO2GTO. Frontiers in Chemistry. 11. 1232425–1232425.
15.
Shang, Honghui, et al.. (2023). Towards practical and massively parallel quantum computing emulation for quantum chemistry. npj Quantum Information. 9(1). 33–33. 26 indexed citations
16.
Guo, Chu, et al.. (2023). Differentiable matrix product states for simulating variational quantum computational chemistry. Quantum. 7. 1192–1192. 3 indexed citations
17.
Wu, Yangjun, et al.. (2023). A Real Neural Network State for Quantum Chemistry. Mathematics. 11(6). 1417–1417. 10 indexed citations
18.
Liu, Jie, et al.. (2022). Q<sup>2</sup>Chemistry: A quantum computation platform for quantum chemistry. JUSTC. 52(12). 2–2. 11 indexed citations
19.
Shang, Honghui & Jinlong Yang. (2020). Implementation of Laplace Transformed MP2 for Periodic Systems With Numerical Atomic Orbitals. Frontiers in Chemistry. 8. 589992–589992. 4 indexed citations
20.
Sezen, Hikmet, Honghui Shang, Fabian Bebensee, et al.. (2015). Evidence for photogenerated intermediate hole polarons in ZnO. Nature Communications. 6(1). 6901–6901. 54 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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