Sheng Dai

15.4k citations
284 papers · 11.5k indexed · 8 hit papers · h-index 55

Sheng Dai

265 papers receiving 11.3k citations

Hit Papers

Cascade Dual Site...1112017202620202023200400600

Peers

Sheng Dai
Comparison fields: 5 of 118
  • Catalysis 3.2k
  • Renewable Energy, Sustainability and the Environment 6.2k
  • Process Chemistry and Technology 566
  • Materials Chemistry 6.5k
  • Structural Biology 151
Replace Maarten Nachtegaal with:
Maarten Nachtegaal Switzerland
Eli Stavitski United States
Matteo Cargnello United States
Xiulian Pan China
Jyh‐Fu Lee Taiwan
Weixin Huang China
Malte Behrens Germany
Jingyuan Ma China
A. Jeremy Kropf United States
Maria Flytzani‐Stephanopoulos United States
Sheng Dai relative to Maarten Nachtegaal Switzerland Maarten Nachtegaal's profile →
Citations per field
00.5×2.9×
Maarten Nachtegaal · 1×
Citations per year

Countries citing papers authored by Sheng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sheng Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sheng Dai Line = papers co-authored together Sheng Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
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6 20257
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11 202434
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Cascade Dual Sites Modulate Local CO Coverage and Hydrogen-Binding Strength to Boost CO2 Electroreduction to Ethylenebreakdown →
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16 20239
17 202311
18 202187
19 202142
20 201820

About Sheng Dai

Sheng Dai is a scholar working on Catalysis, Renewable Energy, Sustainability and the Environment and Structural Biology, having authored 284 papers that have together received 11.5k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (105 papers), Catalytic Processes in Materials Science (100 papers), Catalysis and Oxidation Reactions (42 papers), Advanced Photocatalysis Techniques (39 papers), CO2 Reduction Techniques and Catalysts (38 papers), Advanced battery technologies research (30 papers), Fuel Cells and Related Materials (28 papers) and Ionic liquids properties and applications (24 papers). The work is most often cited by research in Catalysis (3.2k citations), Renewable Energy, Sustainability and the Environment (6.2k citations) and Process Chemistry and Technology (566 citations). Sheng Dai has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiaoqing Pan, George W. Graham, Phillip Christopher, Xuan Tang, Minghui Zhu, Baohua Gu, Eugene J. LeBoeuf, Jie Chen, Hua Gui Yang and Peng Fei Liu. Their work appears in journals such as Nature, Chemical Reviews and Proceedings of the National Academy of Sciences.

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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