Zhichen Pu

420 total citations
12 papers, 296 citations indexed

About

Zhichen Pu is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Zhichen Pu has authored 12 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Spectroscopy. Recurrent topics in Zhichen Pu's work include Spectroscopy and Quantum Chemical Studies (3 papers), Advanced Chemical Physics Studies (3 papers) and Machine Learning in Materials Science (2 papers). Zhichen Pu is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (3 papers), Advanced Chemical Physics Studies (3 papers) and Machine Learning in Materials Science (2 papers). Zhichen Pu collaborates with scholars based in China and United States. Zhichen Pu's co-authors include Yunlong Xiao, Qiming Sun, Ning Zhang, Xiaopeng Wang, Zhendong Li, Yong Zhang, Bingbing Suo, Wenli Zou, Daoling Peng and Jun Gao and has published in prestigious journals such as The Journal of Chemical Physics, ACS Nano and Advanced Energy Materials.

In The Last Decade

Zhichen Pu

10 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhichen Pu China 7 112 107 78 41 37 12 296
Martin Beck Switzerland 9 83 0.7× 55 0.5× 79 1.0× 36 0.9× 58 1.6× 16 234
Nam‐Hee Kim South Korea 9 142 1.3× 59 0.6× 129 1.7× 48 1.2× 48 1.3× 20 326
Daniele M. Monahan United States 9 164 1.5× 176 1.6× 140 1.8× 34 0.8× 51 1.4× 16 348
Somnath Bhowmick Cyprus 12 222 2.0× 63 0.6× 98 1.3× 87 2.1× 23 0.6× 25 348
Dominik Stemer Germany 8 83 0.7× 141 1.3× 128 1.6× 15 0.4× 27 0.7× 15 280
Kaito Miyamoto Japan 11 82 0.7× 189 1.8× 207 2.7× 28 0.7× 80 2.2× 21 433
Mangesh I. Chaudhari United States 12 97 0.9× 145 1.4× 159 2.0× 63 1.5× 43 1.2× 29 476
Maximilian Kubillus Germany 6 171 1.5× 77 0.7× 162 2.1× 38 0.9× 55 1.5× 6 420
Jiwon Moon South Korea 9 155 1.4× 116 1.1× 50 0.6× 55 1.3× 8 0.2× 29 273

Countries citing papers authored by Zhichen Pu

Since Specialization
Citations

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

Fields of papers citing papers by Zhichen Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhichen Pu

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

All Works

12 of 12 papers shown
1.
Mu, Zhenliang, et al.. (2026). A unified predictive and generative solution for liquid electrolyte formulation. Nature Machine Intelligence. 8(2). 186–196.
3.
Wang, T. F., Hao Li, Zhichen Pu, Yi Qin Gao, & Yunlong Xiao. (2025). Noncollinear generalization of nonlocal pure exchange–correlation functionals. The Journal of Chemical Physics. 162(21). 2 indexed citations
4.
Li, Hao, Zhichen Pu, Yi Qin Gao, & Yunlong Xiao. (2024). Real-Time TDDFT Using Noncollinear Functionals. Journal of Chemical Theory and Computation. 20(23). 10477–10490. 4 indexed citations
5.
Pu, Zhichen, Hao Li, Ning Zhang, et al.. (2023). Noncollinear density functional theory. Physical Review Research. 5(1). 21 indexed citations
6.
Li, Hao, Zhichen Pu, Qiming Sun, Yi Qin Gao, & Yunlong Xiao. (2023). Noncollinear and Spin-Flip TDDFT in Multicollinear Approach. Journal of Chemical Theory and Computation. 19(8). 2270–2281. 12 indexed citations
7.
Yang, Chaoran, Zhichen Pu, Xiaowen Gao, et al.. (2022). H2O‐Boosted MgProton Collaborated Energy Storage for Rechargeable Mg‐Metal Batteries. Advanced Energy Materials. 12(34). 15 indexed citations
8.
Pu, Zhichen, Ning Zhang, Hong Jiang, & Yunlong Xiao. (2022). Approach for noncollinear GGA kernels in closed-shell systems. Physical review. B.. 105(3). 5 indexed citations
9.
Yang, Lanlan, Chaoran Yang, Yawei Chen, et al.. (2021). Hybrid MgCl2/AlCl3/Mg(TFSI)2 Electrolytes in DME Enabling High-Rate Rechargeable Mg Batteries. ACS Applied Materials & Interfaces. 13(26). 30712–30721. 59 indexed citations
10.
Pu, Zhichen, Cheng Ma, Kaerdun Liu, et al.. (2021). α-Cyclodextrin-Catalyzed Symmetry Breaking and Precise Regulation of Supramolecular Self-Assembly Handedness with Harata–Kodaka’s Rule. ACS Nano. 15(12). 19621–19628. 25 indexed citations
11.
Zhang, Yong, Bingbing Suo, Zikuan Wang, et al.. (2020). BDF: A relativistic electronic structure program package. The Journal of Chemical Physics. 152(6). 64113–64113. 147 indexed citations
12.
Li, Yanle, et al.. (2019). Planar versus Nonplanar Pd Clusters: Stability and CO Oxidation Activity of Pd Clusters with and without TiO2(110) Substrate. The Journal of Physical Chemistry C. 123(22). 13739–13747. 6 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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