Wei Wei

19.7k citations
378 papers · 17.0k indexed · 6 hit papers · h-index 67

Wei Wei

367 papers receiving 16.7k citations

Hit Papers

High-Throughput Screenin...3072009202620142020250500750

Peers

Wei Wei
Comparison fields: 5 of 130
  • Process Chemistry and Technology 3.0k
  • Catalysis 3.7k
  • Renewable Energy, Sustainability and the Environment 5.1k
  • Materials Chemistry 11.0k
  • Electrical and Electronic Engineering 6.1k
Replace Jun‐Min Yan with:
Jun‐Min Yan China
Jae Sung Lee South Korea
Raffaella Buonsanti Switzerland
Junling Lu China
Brian Seger Denmark
Fengwang Li Australia
Yafei Li China
Wei Luo China
Cao‐Thang Dinh Canada
Byoung Koun Min South Korea
Wei Wei relative to Jun‐Min Yan China Jun‐Min Yan's profile →
Citations per field
00.5×1.7×
Jun‐Min Yan · 1×
Citations per year

Countries citing papers authored by Wei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 202411
4 20242
5 20242
6 202326
7 20232
8 20236
9 20239
10 20234
11 202323
12 20231
13 20226
14 20223
15 20226
16 202228
17 202131
18 2019193
19 20114
20 201160

About Wei Wei

Wei Wei is a scholar working on Process Chemistry and Technology, Catalysis, Materials Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 378 papers that have together received 17.0k indexed citations. Recurring topics across this work include 2D Materials and Applications (106 papers), Graphene research and applications (88 papers), Carbon dioxide utilization in catalysis (64 papers), MXene and MAX Phase Materials (59 papers), Advanced Photocatalysis Techniques (57 papers), Perovskite Materials and Applications (34 papers), Advancements in Battery Materials (29 papers) and ZnO doping and properties (26 papers). The work is most often cited by research in Process Chemistry and Technology (3.0k citations), Catalysis (3.7k citations), Renewable Energy, Sustainability and the Environment (5.1k citations), Materials Chemistry (11.0k citations) and Electrical and Electronic Engineering (6.1k citations). Wei Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Baibiao Huang, Ying Dai, Ying Dai, Baibiao Huang, Xingshuai Lv, Ning Zhao, Yuhan Sun, Baozhong Sun, Hui Wang and Timo Jacob. Their work appears in journals such as Physical Chemistry Chemical Physics, The Journal of Physical Chemistry C, The Journal of Physical Chemistry Letters, Journal of Materials Chemistry A and Catalysis Communications.

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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