Haiyang Niu

5.0k total citations · 1 hit paper
47 papers, 4.0k citations indexed

About

Haiyang Niu is a scholar working on Materials Chemistry, Geophysics and Mechanical Engineering. According to data from OpenAlex, Haiyang Niu has authored 47 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Materials Chemistry, 9 papers in Geophysics and 9 papers in Mechanical Engineering. Recurrent topics in Haiyang Niu's work include Machine Learning in Materials Science (11 papers), High-pressure geophysics and materials (9 papers) and Boron and Carbon Nanomaterials Research (8 papers). Haiyang Niu is often cited by papers focused on Machine Learning in Materials Science (11 papers), High-pressure geophysics and materials (9 papers) and Boron and Carbon Nanomaterials Research (8 papers). Haiyang Niu collaborates with scholars based in China, United States and Russia. Haiyang Niu's co-authors include Xing‐Qiu Chen, Dianzhong Li, Yiyi Li, Michele Parrinello, Artem R. Oganov, Pablo M. Piaggi, Cesare Franchini, Luigi Bonati, Yi Yang and Peitao Liu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Haiyang Niu

41 papers receiving 3.9k citations

Hit Papers

Modeling hardness of poly... 2011 2026 2016 2021 2011 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiyang Niu China 21 3.2k 1.2k 978 419 386 47 4.0k
A. Iwase Japan 29 2.0k 0.6× 745 0.6× 428 0.4× 453 1.1× 536 1.4× 267 3.3k
Vladimir L. Solozhenko France 36 5.3k 1.7× 739 0.6× 1.7k 1.7× 608 1.5× 419 1.1× 191 5.8k
Oleksandr O. Kurakevych France 29 2.9k 0.9× 432 0.4× 690 0.7× 486 1.2× 266 0.7× 70 3.3k
José Pedro Rino Brazil 26 2.7k 0.9× 664 0.6× 528 0.5× 373 0.9× 670 1.7× 113 3.7k
A. Fernández Guillermet Argentina 33 2.2k 0.7× 2.4k 2.0× 873 0.9× 349 0.8× 401 1.0× 131 3.8k
Xiaohui Yu China 26 1.5k 0.5× 387 0.3× 479 0.5× 438 1.0× 334 0.9× 104 2.2k
S. V. Khare United States 34 2.3k 0.7× 586 0.5× 1.1k 1.1× 526 1.3× 899 2.3× 97 3.4k
B. Johansson Sweden 26 2.5k 0.8× 929 0.8× 366 0.4× 589 1.4× 389 1.0× 47 3.7k
Е. А. Екимов Russia 26 2.4k 0.8× 457 0.4× 452 0.5× 494 1.2× 400 1.0× 142 2.9k
H. Aourag France 31 2.0k 0.6× 610 0.5× 633 0.6× 499 1.2× 919 2.4× 160 3.0k

Countries citing papers authored by Haiyang Niu

Since Specialization
Citations

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

Fields of papers citing papers by Haiyang Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyang Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyang Niu. A scholar is included among the top collaborators of Haiyang Niu 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 Haiyang Niu. Haiyang Niu 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.
Niu, Haiyang, et al.. (2026). The potential for bridgmanite megacrysts to drive magma ocean segregation. Nature. 650(8101). 361–366.
2.
Niu, Haiyang, et al.. (2025). Structure exploration of gallium based on machine-learning potential. Journal of Material Science and Technology. 232. 239–245.
3.
Zhang, Haolan, Xiang-Rong Chen, Yi Zeng, et al.. (2025). The S-Al2CuMg precipitates and L12-Al3(Sc,Zr) dispersoids co-existing in the SLM fabricated Al-Cu-Mg-Sc-Zr alloy. Materials Science and Engineering A. 945. 149069–149069.
4.
Sun, Xuecheng, et al.. (2025). Structural Heterogeneity of MgSiO3 Liquid and Its Connection with Dynamical Properties. Physical Review Letters. 134(20). 204101–204101. 2 indexed citations
5.
Niu, Haiyang, et al.. (2025). Deep potential-driven structure exploration of ice polymorphs. The Innovation. 6(5). 100881–100881. 4 indexed citations
6.
Xu, Zan, Mingze Liu, Xue Bai, et al.. (2025). Spatiotemporal Self‐Encrypted Interlock‐Cascade‐Hashing Optical Storage Based on Multicolor Photochromic Lithographic Array. Advanced Materials. 38(9). e06247–e06247.
7.
Liu, Mingfeng, Jian-Tao Wang, Peitao Liu, et al.. (2024). Layer-by-layer phase transformation in Ti3O5 revealed by machine-learning molecular dynamics simulations. Nature Communications. 15(1). 3079–3079. 16 indexed citations
8.
Niu, Haiyang, et al.. (2024). Measuring fluidization behaviors of monodisperse non-spherical particles and binary mixtures of spheres with cylinders. Advanced Powder Technology. 36(1). 104755–104755. 2 indexed citations
9.
San, Xingyuan, Haiyang Niu, Paul J. M. Smeets, et al.. (2023). Unlocking the mysterious polytypic features within vaterite CaCO3. Nature Communications. 14(1). 7858–7858. 13 indexed citations
10.
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
11.
Niu, Haiyang, et al.. (2021). Tuning of electronic and optical properties of a predicted silicon allotrope: Hexagonal silicon h10-Si. Physical review. B.. 104(12). 9 indexed citations
12.
Yang, Yi, Haiyang Niu, & Michele Parrinello. (2018). Combining Metadynamics and Integrated Tempering Sampling. The Journal of Physical Chemistry Letters. 9(22). 6426–6430. 33 indexed citations
13.
Niu, Haiyang, Pablo M. Piaggi, Michele Invernizzi, & Michele Parrinello. (2018). Molecular dynamics simulations of liquid silica crystallization. Proceedings of the National Academy of Sciences. 115(21). 5348–5352. 90 indexed citations
14.
Niu, Haiyang, Artem R. Oganov, Xing‐Qiu Chen, & Dianzhong Li. (2016). Novel stable compounds in the Mg-Si-O system under exoplanet pressures and their implications in planetary science. Bulletin of the American Physical Society. 2016. 2 indexed citations
15.
Qian, Guang‐Rui, Haiyang Niu, Chaohao Hu, et al.. (2016). Diverse Chemistry of Stable Hydronitrogens, and Implications for Planetary and Materials Sciences. Scientific Reports. 6(1). 25947–25947. 32 indexed citations
16.
Rakitin, Maksim, Artem R. Oganov, Haiyang Niu, et al.. (2015). A novel phase of beryllium fluoride at high pressure. Physical Chemistry Chemical Physics. 17(39). 26283–26288. 7 indexed citations
17.
Niu, Haiyang, Artem R. Oganov, Xing‐Qiu Chen, & Dianzhong Li. (2015). Prediction of novel stable compounds in the Mg-Si-O system under exoplanet pressures. Scientific Reports. 5(1). 18347–18347. 53 indexed citations
18.
Chen, Xing‐Qiu, Haiyang Niu, Cesare Franchini, Dianzhong Li, & Yiyi Li. (2011). Hardness ofT-carbon: Density functional theory calculations. Physical Review B. 84(12). 154 indexed citations
19.
Khan, Atta Ullah, Pavel Brož, Haiyang Niu, et al.. (2011). The system Ta–V–Si: Crystal structure and phase equilibria. Journal of Solid State Chemistry. 187. 114–123. 8 indexed citations
20.
Niu, Haiyang, Yan Sun, Xing‐Qiu Chen, et al.. (2011). Electronic, optical, and mechanical properties of superhard cold-compressed phases of carbon. Applied Physics Letters. 99(3). 72 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026