Ping Dai

1.7k citations
36 papers · 1.5k · h-index 21

Impact in

Papers in

    • Hydrogen Storage and Materials 14
    • Nanomaterials for catalytic reactions 5
    • Catalytic C–H Functionalization Methods 4
    • Cyclopropane Reaction Mechanisms 3

Ping Dai

36 papers receiving 1.5k citations

Peers

Ping Dai
Comparison fields: 5 of 63
  • Energy Engineering and Power Technology 251
  • Catalysis 301
  • Process Chemistry and Technology 94
  • Renewable Energy, Sustainability and the Environment 437
  • Materials Chemistry 950
Replace Kamran Dastafkan with:
Kamran Dastafkan Australia
Mehmet Yurderi Türkiye
Muhammad Zaheer Pakistan
Liang Song China
Yoshiyuki Kuroda Japan
Roberto Fiorenza Italy
Chaojun Lei China
Muhammad Amtiaz Nadeem Saudi Arabia
Maya Chatterjee Japan
Ping Dai relative to Kamran Dastafkan Australia Kamran Dastafkan's profile →
Citations per field
00.5×1.5×2.4×
Kamran Dastafkan · 1×
Citations per year

Countries citing papers authored by Ping Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ping Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008177
2 2020175
3 2021125
4 2012113
5 201890
6 200884
7 201482
8 201965
9 200962
10 201860
11 201957
12 201842
13 201738
14 201836
15 202035
16 202034
17 202034
18 201231
19 201530
20 201829

About Ping Dai

Ping Dai is a scholar working on Materials Chemistry, Organic Chemistry, Catalysis, Inorganic Chemistry and Renewable Energy, Sustainability and the Environment, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hydrogen Storage and Materials (14 papers), Ammonia Synthesis and Nitrogen Reduction (8 papers), Advanced oxidation water treatment (6 papers), Nanomaterials for catalytic reactions (5 papers), Environmental remediation with nanomaterials (5 papers), Advanced Photocatalysis Techniques (4 papers), Catalytic C–H Functionalization Methods (4 papers) and Cyclopropane Reaction Mechanisms (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (251 citations), Catalysis (301 citations), Process Chemistry and Technology (94 citations), Renewable Energy, Sustainability and the Environment (437 citations) and Materials Chemistry (950 citations). Ping Dai has collaborated with scholars based in China and France. Frequent co-authors include Dongyan Xu, Qingjie Guo, Xien Liu, Chuansheng Wang, Xiao Wei Sun, Xinmin Liu, Changqing Cao, Shengfu Ji, Xiaoguang Bao and Xinyan Zhang. Their work appears in journals such as International Journal of Hydrogen Energy, Applied Surface Science, The Journal of Organic Chemistry, Organic & Biomolecular Chemistry and ChemCatChem.

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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