Peng Dai

1.4k total citations
55 papers, 1.2k citations indexed

About

Peng Dai is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Materials Chemistry. According to data from OpenAlex, Peng Dai has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 24 papers in Renewable Energy, Sustainability and the Environment and 22 papers in Materials Chemistry. Recurrent topics in Peng Dai's work include Advanced Photocatalysis Techniques (13 papers), Electrocatalysts for Energy Conversion (11 papers) and Advanced battery technologies research (11 papers). Peng Dai is often cited by papers focused on Advanced Photocatalysis Techniques (13 papers), Electrocatalysts for Energy Conversion (11 papers) and Advanced battery technologies research (11 papers). Peng Dai collaborates with scholars based in China and United States. Peng Dai's co-authors include Mingzai Wu, Xinxin Yu, Guang Li, Mingzai Wu, Zhiman Bai, Lili Zhang, Zhaoqi Sun, Tongtong Jiang, Zhiwei Bao and Zhenyang Luo and has published in prestigious journals such as Applied Physics Letters, ACS Applied Materials & Interfaces and Journal of Materials Chemistry A.

In The Last Decade

Peng Dai

53 papers receiving 1.2k citations

Peers

Peng Dai
Comparison fields: 5 of 61
  • Materials Chemistry 549
  • Electrical and Electronic Engineering 474
  • Electronic, Optical and Magnetic Materials 424
  • Renewable Energy, Sustainability and the Environment 422
  • Biomedical Engineering 196
Replace Michael Giroux with:
Michael Giroux United States
Fanbin Meng China
Yulin Cao China
Xiaoqi Fu China
Jingjing Chen China
Patrick Wilde Germany
Yupu Liu China
Jianguang Feng China
Tianyuan Xiao China
Sankalpita Chakrabarty India
Michael Giroux United States View profile →
Citations per field, relative to Peng Dai
Peng Dai · 1×
Citations per year, relative to Peng Dai
Peng Dai · 1×

Countries citing papers authored by Peng Dai

Since Specialization
Citations

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

Fields of papers citing papers by Peng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Dai. A scholar is included among the top collaborators of Peng 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 Peng Dai. Peng 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 2
2 1
3 0
4 0
5 8
6 2
7 1
8 9
9 33
10 5
11 38
12 44
13 47
14 8
15 24
16 94
17 20
18 32
19 12
20 4

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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