Yizhou Dai

2.0k total citations · 2 hit papers
18 papers, 1.7k citations indexed

About

Yizhou Dai is a scholar working on Catalysis, Materials Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Yizhou Dai has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Catalysis, 9 papers in Materials Chemistry and 7 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Yizhou Dai's work include Catalysts for Methane Reforming (8 papers), Catalytic Processes in Materials Science (7 papers) and Electrocatalysts for Energy Conversion (5 papers). Yizhou Dai is often cited by papers focused on Catalysts for Methane Reforming (8 papers), Catalytic Processes in Materials Science (7 papers) and Electrocatalysts for Energy Conversion (5 papers). Yizhou Dai collaborates with scholars based in China, New Zealand and Taiwan. Yizhou Dai's co-authors include Jie Zeng, Xusheng Zheng, Liangbing Wang, Hongliang Li, Menglin Wang, Rui Si, Wenhua Zhang, Yawei Chen, Chao Ma and Junfa Zhu and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Yizhou Dai

17 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Synergetic interaction between neighbouring platinum monomers in CO2 hydrogenation

2018 682 citations Hongliang Li, Liangbing Wang et al. Nature Nanotechnology profile →
Manipulating local coordination of copper single atom catalyst enables efficient CO2-to-CH4 conversion

2023 177 citations Yizhou Dai, Huan Li et al. Nature Communications profile →

Peers

Yizhou Dai

RESE

MC

CATAL

EEE

PCT

Shiyong Mou China

Junguo Ma China

Tej S. Choksi Singapore

Siwen Wang United States

Yawen Jiang China

Yangbo Ma China

Aoxue Huang Canada

Verena Streibel Germany

Vikas Reddu Singapore

Shuaiqiang Jia China

Shiyong Mou China

Yizhou Dai

2.0k ×1.6

RESE

938 ×1.0

MC

1.5k ×2.2

CATAL

329 ×1.0

EEE

187 ×0.7

PCT

Citations per year, relative to Yizhou Dai Yizhou Dai (= 1×) peers Shiyong Mou

Countries citing papers authored by Yizhou Dai

Since Specialization

Citations

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

Fields of papers citing papers by Yizhou Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yizhou Dai

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Li, Jiawei, Jiankang Zhao, Sunpei Hu, et al.. (2025). Stabilization of oxidized Cu species via CeO x nano-islands for enhanced CO2 reduction to C2+ products. National Science Review. 12(11). nwaf351–nwaf351. 1 indexed citations

2.

Xue, Jing, Xue Dong, Chunxiao Liu, et al.. (2024). Turning copper into an efficient and stable CO evolution catalyst beyond noble metals. Nature Communications. 15(1). 5998–5998. 37 indexed citations

3.

Dai, Yizhou, Miao Qiao, & Rong-Hua Li. (2024). On Density-based Local Community Search. Proceedings of the ACM on Management of Data. 2(2). 1–25. 1 indexed citations

4.

Tang, Jialin, Yuan Ji, Weiqing Xue, et al.. (2024). High‐Efficiency Iridium‐Yttrium Alloy Catalyst for Acidic Water Electrolysis. Advanced Energy Materials. 14(20). 38 indexed citations

5.

Tang, Jialin, Xinyan Liu, Yuan Ji, et al.. (2024). Ruthenium Single‐Atom Modulated Protonated Iridium Oxide for Acidic Water Oxidation in Proton Exchange Membrane Electrolysers. Advanced Materials. 36(41). e2407394–e2407394. 51 indexed citations

6.

Guo, Shuqi, Chengbo Li, Yanjing Su, et al.. (2024). Scalable Electro‐Biosynthesis of Ectoine from Greenhouse Gases. Angewandte Chemie. 137(3). 3 indexed citations

7.

Guo, Shuqi, Chengbo Li, Yanjing Su, et al.. (2024). Scalable Electro‐Biosynthesis of Ectoine from Greenhouse Gases. Angewandte Chemie International Edition. 64(3). e202415445–e202415445. 6 indexed citations

8.

Li, Jiawei, Hongliang Zeng, Xue Dong, et al.. (2023). Selective CO2 electrolysis to CO using isolated antimony alloyed copper. Nature Communications. 14(1). 340–340. 143 indexed citations

9.

Wang, Chuanhao, Xian Zhong, Hao Lei, et al.. (2023). Achieving Efficient CO₂ Electrolysis to CO by Local Coordination Manipulation of Nickel Single-Atom Catalysts. Nano Letters. 23(15). 7046–7053. 45 indexed citations

10.

Dai, Yizhou, Huan Li, Chuanhao Wang, et al.. (2023). Manipulating local coordination of copper single atom catalyst enables efficient CO2-to-CH4 conversion. Nature Communications. 14(1). 3382–3382. 177 indexed citations breakdown →

11.

Wang, Chuanhao, Junjie Du, Zhongling Li, et al.. (2023). Direct synthesis of extra-heavy olefins from carbon monoxide and water. Nature Communications. 14(1). 1857–1857. 8 indexed citations

12.

Dai, Yizhou, Miao Qiao, & Lijun Chang. (2022). Anchored Densest Subgraph. Proceedings of the 2022 International Conference on Management of Data. 1200–1213. 7 indexed citations

13.

Luo, Laihao, Menglin Wang, Yi Cui, et al.. (2020). Frontispiz: Surface Iron Species in Palladium–Iron Intermetallic Nanocrystals that Promote and Stabilize CO₂ Methanation. Angewandte Chemie. 132(34).

14.

Luo, Laihao, Menglin Wang, Yi Cui, et al.. (2020). Surface Iron Species in Palladium–Iron Intermetallic Nanocrystals that Promote and Stabilize CO₂ Methanation. Angewandte Chemie. 132(34). 14542–14550. 36 indexed citations

15.

Luo, Laihao, Menglin Wang, Yi Cui, et al.. (2020). Surface Iron Species in Palladium–Iron Intermetallic Nanocrystals that Promote and Stabilize CO₂ Methanation. Angewandte Chemie International Edition. 59(34). 14434–14442. 68 indexed citations

16.

Li, Hongliang, Liangbing Wang, Yizhou Dai, et al.. (2018). Synergetic interaction between neighbouring platinum monomers in CO2 hydrogenation. Nature Nanotechnology. 13(5). 411–417. 682 indexed citations breakdown →

17.

Peng, Yuhan, Liangbing Wang, Qiquan Luo, et al.. (2018). Molecular-Level Insight into How Hydroxyl Groups Boost Catalytic Activity in CO2 Hydrogenation into Methanol. Chem. 4(3). 613–625. 148 indexed citations

18.

Wang, Liangbing, Wenbo Zhang, Xusheng Zheng, et al.. (2017). Incorporating nitrogen atoms into cobalt nanosheets as a strategy to boost catalytic activity toward CO2 hydrogenation. Nature Energy. 2(11). 869–876. 212 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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