Runhai Ouyang

4.4k total citations · 2 hit papers
47 papers, 3.4k citations indexed

About

Runhai Ouyang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Runhai Ouyang has authored 47 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Materials Chemistry, 10 papers in Electrical and Electronic Engineering and 8 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Runhai Ouyang's work include Machine Learning in Materials Science (17 papers), Catalytic Processes in Materials Science (11 papers) and Electrocatalysts for Energy Conversion (8 papers). Runhai Ouyang is often cited by papers focused on Machine Learning in Materials Science (17 papers), Catalytic Processes in Materials Science (11 papers) and Electrocatalysts for Energy Conversion (8 papers). Runhai Ouyang collaborates with scholars based in China, United States and Australia. Runhai Ouyang's co-authors include Wei‐Xue Li, Luca M. Ghiringhelli, Matthias Scheffler, Bryan R. Goldsmith, Christopher J. Bartel, Charles B. Musgrave, Christopher Sutton, Jin‐Xun Liu, De‐en Jiang and Zhongkang Han and has published in prestigious journals such as Science, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Runhai Ouyang

45 papers receiving 3.3k citations

Hit Papers

New tolerance factor to predict the stability of perovski... 2019 2026 2021 2023 2019 2024 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Runhai Ouyang China 22 2.4k 1.2k 641 536 466 47 3.4k
Rui Chang China 25 1.6k 0.6× 1.2k 1.0× 799 1.2× 324 0.6× 510 1.1× 53 3.5k
Edmund G. Seebauer United States 31 1.9k 0.8× 1.5k 1.2× 448 0.7× 196 0.4× 417 0.9× 238 3.3k
Christopher L. Farrow United States 15 2.6k 1.1× 926 0.8× 512 0.8× 844 1.6× 150 0.3× 21 4.0k
Guowei Li China 34 1.7k 0.7× 1.3k 1.0× 1.5k 2.4× 449 0.8× 202 0.4× 132 3.9k
Nazir P. Kherani Canada 34 2.5k 1.0× 1.5k 1.2× 1.7k 2.7× 363 0.7× 457 1.0× 184 4.4k
Guodong Wang China 34 1.7k 0.7× 1.4k 1.1× 332 0.5× 579 1.1× 190 0.4× 323 4.2k
Weimin Yang China 25 1.4k 0.6× 913 0.7× 1.9k 2.9× 741 1.4× 711 1.5× 69 3.6k
Yu‐Hua Wen China 30 2.0k 0.8× 972 0.8× 747 1.2× 533 1.0× 96 0.2× 156 3.4k
Guido Ketteler United States 19 1.5k 0.6× 837 0.7× 874 1.4× 160 0.3× 290 0.6× 25 3.3k
Tian Ma China 39 1.9k 0.8× 2.0k 1.6× 2.3k 3.6× 433 0.8× 253 0.5× 160 5.0k

Countries citing papers authored by Runhai Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Runhai Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runhai Ouyang

This figure shows the co-authorship network connecting the top 25 collaborators of Runhai Ouyang. A scholar is included among the top collaborators of Runhai Ouyang 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 Runhai Ouyang. Runhai Ouyang 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.
Ouyang, Runhai, et al.. (2025). Origin of the Different Trends of Experimental Activity on Perovskite Catalysts between OER and ORR. ACS Applied Energy Materials. 8(6). 3481–3490. 2 indexed citations
2.
Pan, H., Bingxu Chen, Fengchen Zhou, et al.. (2025). Unveiling the influence of electrolyte pH on the structural evolution of cobalt oxide pre-catalyst in oxygen evolution reaction. Journal of Catalysis. 451. 116355–116355. 1 indexed citations
3.
Lian, Zan, et al.. (2025). Dynamic Evolution and Transformation of Copper Oxides on Cu(111). The Journal of Physical Chemistry C. 129(29). 13497–13504.
4.
Fu, Rongguo, et al.. (2025). Physics-guided deep learning strategy for 2D structure reconstruction from diffraction patterns. Communications Physics. 8(1). 1 indexed citations
5.
Wang, Tairan, et al.. (2024). Nature of metal-support interaction for metal catalysts on oxide supports. Science. 386(6724). 915–920. 126 indexed citations breakdown →
6.
Zhang, Yuxuan, Panpan Liu, Yu Jia, et al.. (2024). Rb‐Doped Perovskite Oxides: Surface Enrichment and Structural Reconstruction During the Oxygen Evolution Reaction. Small. 20(42). e2400668–e2400668. 7 indexed citations
7.
Ai, Songtao, et al.. (2024). Lake pulses driven by glacier melting and climate variability. Scientific Reports. 14(1). 31623–31623. 3 indexed citations
8.
Chen, Fengqing, Zhen Guo, Runhai Ouyang, et al.. (2023). Accelerated feasible screening of flame-retardant polymeric composites using data-driven multi-objective optimization. Computational Materials Science. 230. 112479–112479. 7 indexed citations
9.
Miao, Wenkang, Jingzhou Wang, Zihan Wang, et al.. (2022). Architecture Design and Catalytic Activity: Non‐Noble Bimetallic CoFe/fe3O4 Core–Shell Structures for CO2 Hydrogenation. Advanced Science. 10(5). e2205087–e2205087. 14 indexed citations
10.
Ouyang, Runhai, et al.. (2021). Learning interpretable descriptors for the fatigue strength of steels. AIP Advances. 11(3). 7 indexed citations
11.
Han, Zhongkang, Debalaya Sarker, Runhai Ouyang, et al.. (2021). Single-atom alloy catalysts designed by first-principles calculations and artificial intelligence. Nature Communications. 12(1). 1833–1833. 159 indexed citations
12.
Wang, Tairan, et al.. (2020). Machine-learning adsorption on binary alloy surfaces for catalyst screening. Chinese Journal of Chemical Physics. 33(6). 703–711. 16 indexed citations
13.
Sun, Sheng, et al.. (2019). Data-driven discovery of formulas by symbolic regression. MRS Bulletin. 44(7). 559–564. 67 indexed citations
14.
Cao, Guohua, Huijun Liu, Runhai Ouyang, et al.. (2018). High-throughput descriptor for predicting potential topological insulators in the tetradymite family. Max Planck Digital Library.
15.
Ouyang, Runhai. (2017). SISSO: A Compressed-Sensing Method for Systematically Identifying Efficient Physical Models of Materials Properties. arXiv (Cornell University). 3 indexed citations
16.
Ouyang, Runhai & De‐en Jiang. (2015). Ligand-Conformation Energy Landscape of Thiolate-Protected Gold Nanoclusters. The Journal of Physical Chemistry C. 119(37). 21555–21560. 21 indexed citations
17.
Ouyang, Runhai & De‐en Jiang. (2015). Understanding Selective Hydrogenation of α,β-Unsaturated Ketones to Unsaturated Alcohols on the Au25(SR)18 Cluster. ACS Catalysis. 5(11). 6624–6629. 67 indexed citations
18.
Ouyang, Runhai, Yu Xie, & De‐en Jiang. (2015). Global minimization of gold clusters by combining neural network potentials and the basin-hopping method. Nanoscale. 7(36). 14817–14821. 103 indexed citations
19.
Ouyang, Runhai, et al.. (2014). Linkages between ENSO/PDO signals and precipitation, streamflow in China during the last 100 years. Hydrology and earth system sciences. 18(9). 3651–3661. 165 indexed citations
20.
Gu, Xiang‐Kui, Runhai Ouyang, Dapeng Sun, Hai‐Yan Su, & Wei‐Xue Li. (2011). CO Oxidation at the Perimeters of an FeO/Pt(111) Interface and how Water Promotes the Activity: A First‐Principles Study. ChemSusChem. 5(5). 871–878. 40 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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