Dayou Zhang

404 total citations
23 papers, 282 citations indexed

About

Dayou Zhang is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Dayou Zhang has authored 23 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atomic and Molecular Physics, and Optics, 7 papers in Electrical and Electronic Engineering and 7 papers in Materials Chemistry. Recurrent topics in Dayou Zhang's work include Advanced Chemical Physics Studies (11 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Machine Learning in Materials Science (5 papers). Dayou Zhang is often cited by papers focused on Advanced Chemical Physics Studies (11 papers), Spectroscopy and Quantum Chemical Studies (7 papers) and Machine Learning in Materials Science (5 papers). Dayou Zhang collaborates with scholars based in United States, China and Hong Kong. Dayou Zhang's co-authors include Donald G. Truhlar, Laura Gagliardi, Xiangshui Miao, Hao Tong, Kuan Wang, Yuhui He, Lun Wang, Ralph H. Scheicher, Qi Lin and Fuwei Zhuge and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters and Optics Express.

In The Last Decade

Dayou Zhang

20 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dayou Zhang United States 9 123 96 93 40 27 23 282
Masayoshi Naitō Japan 14 75 0.6× 73 0.8× 157 1.7× 25 0.6× 23 0.9× 31 500
L. Pohlmann Germany 13 144 1.2× 100 1.0× 151 1.6× 59 1.5× 11 0.4× 33 566
Martin P. Bircher Switzerland 11 89 0.7× 112 1.2× 103 1.1× 43 1.1× 4 0.1× 18 396
Gautam Gangopadhyay India 13 88 0.7× 60 0.6× 277 3.0× 25 0.6× 111 4.1× 91 552
Andrew DiLullo United States 7 179 1.5× 139 1.4× 183 2.0× 13 0.3× 6 0.2× 7 332
Stefan Schiefer Germany 9 446 3.6× 121 1.3× 153 1.6× 76 1.9× 21 0.8× 14 540
B. Raghavendra Prasad India 10 61 0.5× 40 0.4× 88 0.9× 11 0.3× 10 0.4× 42 246
Samuel Andermatt Switzerland 4 132 1.1× 84 0.9× 64 0.7× 33 0.8× 13 0.5× 8 200
Kasper Hald Denmark 8 60 0.5× 51 0.5× 229 2.5× 7 0.2× 14 0.5× 19 365
J. Wiegand Germany 9 105 0.9× 92 1.0× 178 1.9× 37 0.9× 21 0.8× 12 348

Countries citing papers authored by Dayou Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dayou Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dayou Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Dayou Zhang. A scholar is included among the top collaborators of Dayou Zhang 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 Dayou Zhang. Dayou Zhang 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.
Shu, Yinan, Zoltán Varga, Dayou Zhang, et al.. (2025). Learning Multiple Potential Energy Surfaces by Automated Discovery of a Compatible Representation. Journal of Chemical Theory and Computation. 21(7). 3342–3352.
2.
Zhang, Dayou, et al.. (2025). Vertical Excitation Energies of Organic Molecules Calculated by the MC23 Hybrid Meta On-Top Functional as Compared to Other Multireference Methods. The Journal of Physical Chemistry A. 129(25). 5683–5691. 1 indexed citations
3.
Zhang, Dayou, Y. K. Kim, Matthew R. Hennefarth, Laura Gagliardi, & Donald G. Truhlar. (2025). MC25: An Accurate Meta Pair-Density Functional for Multiconfiguration Pair-Density Functional Theory and Linearized Pair-Density Functional Theory. Journal of Chemical Theory and Computation. 21(21). 10945–10960.
4.
Zhang, Dayou, et al.. (2025). SRBF-Gaussian: Streaming-Optimized 3D Gaussian Splatting. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 461–471. 1 indexed citations
5.
Zhang, Dayou, Yinan Shu, & Donald G. Truhlar. (2024). DC24 : A new density coherence functional for multiconfiguration density‐coherence functional theory. Journal of Computational Chemistry. 46(1). e27522–e27522. 1 indexed citations
6.
Bao, Jie J., Dayou Zhang, Shaoting Zhang, Laura Gagliardi, & Donald G. Truhlar. (2024). A hybrid meta on-top functional for multiconfiguration pair-density functional theory. Proceedings of the National Academy of Sciences. 122(1). e2419413121–e2419413121. 6 indexed citations
7.
Jiang, Yi, et al.. (2024). All-sapphire fiber-optic sensor for the simultaneous measurement of ultra-high temperature and high pressure. Optics Express. 32(8). 14826–14826. 13 indexed citations
8.
Shu, Yinan, Zoltán Varga, Dayou Zhang, & Donald G. Truhlar. (2023). ChemPotPy: A Python Library for Analytic Representations of Potential Energy Surfaces and Diabatic Potential Energy Matrices. The Journal of Physical Chemistry A. 127(45). 9635–9640. 3 indexed citations
9.
Zhang, Dayou & Donald G. Truhlar. (2023). An Accurate Density Coherence Functional for Hybrid Multiconfiguration Density Coherence Functional Theory. Journal of Chemical Theory and Computation. 19(19). 6551–6556. 3 indexed citations
10.
11.
Yang, Zhe, Dayou Zhang, Qiang He, et al.. (2022). Joule heating induced non-melting phase transition and multi-level conductance in MoTe2 based phase change memory. Applied Physics Letters. 121(20). 10 indexed citations
12.
13.
Lin, Jun, Dayou Zhang, Kuan Wang, et al.. (2022). Design of all-phase-change-memory spiking neural network enabled by Ge-Ga-Sb compound. Science China Materials. 66(4). 1551–1558. 12 indexed citations
14.
Zhang, Dayou, Kai Shen, Fangxin Wang, Dan Wang, & Jiangchuan Liu. (2022). Towards Joint Loss and Bitrate Adaptation in Realtime Video Streaming. 2022 IEEE International Conference on Multimedia and Expo (ICME). 1–6. 8 indexed citations
15.
Zhang, Dayou, Siqi Wang, Zijian Tang, Xiangshui Miao, & Yuhui He. (2022). Melting-Free Phase-Change Memory for Associative Learning. 1–3.
16.
Zhang, Dayou & Donald G. Truhlar. (2021). Decomposition of the Electronic Energy in Terms of Density, Density Coherence, and the Connected Part of the Two-Body Reduced Density Matrix. Journal of Chemical Theory and Computation. 17(9). 5733–5744. 6 indexed citations
17.
Zhang, Dayou, Matthew R. Hermes, Laura Gagliardi, & Donald G. Truhlar. (2021). Multiconfiguration Density-Coherence Functional Theory. Journal of Chemical Theory and Computation. 17(5). 2775–2782. 16 indexed citations
18.
Zhang, Dayou & Donald G. Truhlar. (2020). Unmasking Static Correlation Error in Hybrid Kohn–Sham Density Functional Theory. Journal of Chemical Theory and Computation. 16(9). 5432–5440. 27 indexed citations
19.
Zhang, Dayou & Donald G. Truhlar. (2020). Multiconfigurational Effects on the Density Coherence. Journal of Chemical Theory and Computation. 16(11). 6915–6925. 5 indexed citations
20.
Zhang, Dayou & Donald G. Truhlar. (2020). Spin Splitting Energy of Transition Metals: A New, More Affordable Wave Function Benchmark Method and Its Use to Test Density Functional Theory. Journal of Chemical Theory and Computation. 16(7). 4416–4428. 43 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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