Manyi Yang

766 total citations
15 papers, 430 citations indexed

About

Manyi Yang is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Manyi Yang has authored 15 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Manyi Yang's work include Machine Learning in Materials Science (8 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Computational Drug Discovery Methods (3 papers). Manyi Yang is often cited by papers focused on Machine Learning in Materials Science (8 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Computational Drug Discovery Methods (3 papers). Manyi Yang collaborates with scholars based in China, Italy and Canada. Manyi Yang's co-authors include Michele Parrinello, Daniela Polino, Luigi Bonati, Umberto Raucci, Guoqiang Wang, Shuhua Li, Jingxiang Zou, Tarak Karmakar, Ping Ji and Huijun Chen and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Manyi Yang

12 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manyi Yang China 9 243 86 72 68 63 15 430
Eric Dybeck United States 11 223 0.9× 66 0.8× 85 1.2× 78 1.1× 40 0.6× 12 363
Kehang Han United States 8 233 1.0× 72 0.8× 99 1.4× 40 0.6× 76 1.2× 10 408
Vilhjálmur Ásgeirsson Germany 7 179 0.7× 79 0.9× 32 0.4× 140 2.1× 54 0.9× 9 481
Christoph Plett Germany 8 124 0.5× 65 0.8× 23 0.3× 87 1.3× 44 0.7× 12 382
Eduardo J. Delgado Chile 15 325 1.3× 76 0.9× 121 1.7× 31 0.5× 66 1.0× 62 656
Lagnajit Pattanaik United States 10 496 2.0× 139 1.6× 77 1.1× 81 1.2× 357 5.7× 12 640
András Borosy Hungary 12 141 0.6× 33 0.4× 70 1.0× 37 0.5× 50 0.8× 21 410
Daniel E. Bacelo Argentina 13 113 0.5× 89 1.0× 19 0.3× 163 2.4× 97 1.5× 41 490
Xingyi Guan United States 8 224 0.9× 91 1.1× 28 0.4× 50 0.7× 122 1.9× 12 331
Th. Gomti Devi India 15 76 0.3× 90 1.0× 43 0.6× 111 1.6× 58 0.9× 54 579

Countries citing papers authored by Manyi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Manyi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manyi Yang

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

All Works

15 of 15 papers shown
1.
Yang, Manyi, Duo Zhang, Bowen Li, et al.. (2025). Ab Initio Accuracy Neural Network Potential for Drug-Like Molecules. Research. 8. 837–837. 1 indexed citations
2.
3.
Yang, Manyi, et al.. (2025). Bulk Phase Dominates Sulfur Dioxide Hydrolysis over Interfacial Processes. Nature Communications. 17(1). 558–558.
4.
Xiao, Long, Huizhu Cai, Bingbing Chen, et al.. (2025). Atomic interface engineering of ultra-small metastable α-MoC 1− x enables electronically modulated Pt catalysts for hydrogen evolution. Nano Research. 18(9). 94907672–94907672.
5.
Liu, Changhao, Zhengbo Yue, Keyu Li, et al.. (2024). Integration of hydrothermal liquefied sludge as wastewater for anaerobic treatment and energy recovery: Aqueous phase characterization, anaerobic digestion performance and energy balance analysis. Journal of Water Process Engineering. 60. 105096–105096. 8 indexed citations
6.
Raucci, Umberto, et al.. (2024). How Does Structural Disorder Impact Heterogeneous Catalysts? The Case of Ammonia Decomposition on Non-stoichiometric Lithium Imide. ACS Catalysis. 14(3). 1252–1256. 17 indexed citations
7.
Yang, Manyi, et al.. (2024). Structure and polymerization of liquid sulfur across the λ-transition. Chemical Science. 15(9). 3382–3392. 9 indexed citations
8.
Yang, Manyi, Umberto Raucci, & Michele Parrinello. (2023). Reactant-induced dynamics of lithium imide surfaces during the ammonia decomposition process. Nature Catalysis. 6(9). 829–836. 75 indexed citations
9.
Yang, Manyi, et al.. (2023). Unveiling the crystallization mechanism of cadmium selenide via molecular dynamics simulation with machine-learning-based deep potential. Journal of Material Science and Technology. 185. 23–31. 9 indexed citations
10.
Yang, Manyi, Luigi Bonati, Daniela Polino, & Michele Parrinello. (2021). Using metadynamics to build neural network potentials for reactive events: the case of urea decomposition in water. Catalysis Today. 387. 143–149. 122 indexed citations
11.
Yang, Manyi, Tarak Karmakar, & Michele Parrinello. (2021). Liquid-Liquid Critical Point in Phosphorus. Physical Review Letters. 127(8). 80603–80603. 38 indexed citations
13.
Yang, Manyi, Lijiang Yang, Guoqiang Wang, et al.. (2018). Combined Molecular Dynamics and Coordinate Driving Method for Automatic Reaction Pathway Search of Reactions in Solution. Journal of Chemical Theory and Computation. 14(11). 5787–5796. 25 indexed citations
14.
Yang, Manyi, Jingxiang Zou, Guoqiang Wang, & Shuhua Li. (2017). Automatic Reaction Pathway Search via Combined Molecular Dynamics and Coordinate Driving Method. The Journal of Physical Chemistry A. 121(6). 1351–1361. 67 indexed citations
15.
Zhang, Wei, Changmai Chen, Hengfei Shi, et al.. (2015). Curcumin is a biologically active copper chelator with antitumor activity. Phytomedicine. 23(1). 1–8. 56 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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