Wang Gao

3.9k citations
138 papers · 3.3k · h-index 34

Impact in

Papers in

Wang Gao

133 papers receiving 3.1k citations

Peers

Wang Gao
Comparison fields: 5 of 118
  • Catalysis 485
  • Renewable Energy, Sustainability and the Environment 1.1k
  • Process Chemistry and Technology 160
  • Materials Chemistry 1.4k
  • Electrochemistry 124
Replace Tong S. Wu with:
Tong S. Wu China
Mo Li China
Lang Xu United States
Hongyang Su China
Satoru Takakusagi Japan
Wenbin Xu China
Masahiro Kishida Japan
Haiping Xu China
Yu Gu China
Wang Gao relative to Tong S. Wu China Tong S. Wu's profile →
Citations per field
00.5×2×4×5.9×
Tong S. Wu · 1×
Citations per year

Countries citing papers authored by Wang Gao

Since Specialization
Citations

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

Fields of papers citing papers by Wang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wang Gao, 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 Wang Gao Line = papers co-authored together Wang Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020268
2 2010194
3 2015127
4 2012111
5 2022104
6 201897
7 202092
8 202174
9 201461
10 202061
11 201660
12 201059
13 202357
14 201256
15 201355
16 201855
17 201653
18 201753
19 202153
20 202150

About Wang Gao

Wang Gao is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Catalysis, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 138 papers that have together received 3.3k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (22 papers), CO2 Reduction Techniques and Catalysts (18 papers), Catalytic Processes in Materials Science (14 papers), Graphene research and applications (13 papers), High Entropy Alloys Studies (12 papers), Advancements in Battery Materials (11 papers), High-Temperature Coating Behaviors (10 papers) and Machine Learning in Materials Science (9 papers). The work is most often cited by research in Catalysis (485 citations), Renewable Energy, Sustainability and the Environment (1.1k citations), Process Chemistry and Technology (160 citations), Materials Chemistry (1.4k citations) and Electrochemistry (124 citations). Wang Gao has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Qing Jiang, Timo Jacob, Ze kun Yang, Alexandre Tkatchenko, Josef Anton, Xiao-Qi Yu, John A. H. Keith, Ming Zhao, Yun Chen and Bo Jin. Their work appears in journals such as The Journal of Physical Chemistry C, Journal of Materials Chemistry A, ChemSusChem, Physical Review Letters and The Journal of Physical Chemistry Letters.

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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