Wen Dai

2.4k total citations
69 papers, 1.9k citations indexed

About

Wen Dai is a scholar working on Organic Chemistry, Materials Chemistry and Inorganic Chemistry. According to data from OpenAlex, Wen Dai has authored 69 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Organic Chemistry, 27 papers in Materials Chemistry and 25 papers in Inorganic Chemistry. Recurrent topics in Wen Dai's work include Oxidative Organic Chemistry Reactions (13 papers), Catalytic C–H Functionalization Methods (10 papers) and Asymmetric Hydrogenation and Catalysis (10 papers). Wen Dai is often cited by papers focused on Oxidative Organic Chemistry Reactions (13 papers), Catalytic C–H Functionalization Methods (10 papers) and Asymmetric Hydrogenation and Catalysis (10 papers). Wen Dai collaborates with scholars based in China, United States and United Kingdom. Wen Dai's co-authors include Shuang Gao, Lianyue Wang, Ying Lv, Dennis P. Curran, Sensen Shang, Guosong Li, Bo Chen, Steven J. Geib, Yitao Zhao and Haiqun Chen and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Wen Dai

64 papers receiving 1.9k citations

Peers

Wen Dai
Comparison fields: 5 of 109
  • Organic Chemistry 1.1k
  • Materials Chemistry 613
  • Inorganic Chemistry 505
  • Renewable Energy, Sustainability and the Environment 250
  • Biomedical Engineering 176
Replace Guiyan Liu with:
Guiyan Liu China
Takayuki Nakajima Japan
Kaushik Chanda India
Michele Gargano Italy
Concepción Alonso Spain
Emilia Păunescu Switzerland
Regina C. G. Frem Brazil
Zhen Guo China
Sanjay Kumar India
Bowen Li China
Guiyan Liu China View profile →
Citations per field, relative to Wen Dai
Wen Dai · 1×
Citations per year, relative to Wen Dai
Wen Dai · 1×

Countries citing papers authored by Wen Dai

Since Specialization
Citations

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

Fields of papers citing papers by Wen Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Dai. A scholar is included among the top collaborators of Wen 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 Wen Dai. Wen Dai 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
# Work Indexed citations
1 0
2 5
3 4
4 18
5 2
6 8
7 12
8 41
9 2
10 11
11 19
12 1
13 7
14 20
15 55
16 2
17 31
18 24
19 4
20 41

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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