Fang Dai

5.1k citations
46 papers · 4.4k indexed · 3 hit papers · h-index 27

Fang Dai

41 papers receiving 4.3k citations

Hit Papers

Industry needs...772015202620182022250500750

Peers

Fang Dai
Comparison fields: 5 of 91
  • Electronic, Optical and Magnetic Materials 2.1k
  • Automotive Engineering 828
  • Electrical and Electronic Engineering 3.6k
  • Renewable Energy, Sustainability and the Environment 431
  • Materials Chemistry 963
Replace Rezan Demir‐Cakan with:
Rezan Demir‐Cakan Türkiye
Jingxia Qiu China
Hang Hu China
Xuan Liu China
Sadhasivam Thangarasu South Korea
Haojie Liang China
Xia Yuan China
Xin Cao China
Deyu Qu China
Fang Dai relative to Rezan Demir‐Cakan Türkiye Rezan Demir‐Cakan's profile →
Citations per field
00.5×1.5×1.9×
Rezan Demir‐Cakan · 1×
Citations per year

Countries citing papers authored by Fang Dai

Since Specialization
Citations

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

Fields of papers citing papers by Fang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2
Industry needs for practical lithium-metal battery designs in electric vehiclesbreakdown →
202477
3 202426
4 20213
5 202035
6 201626
7 2015243
8 201591
9 201544
10 2014231
11 2014113
12 201377
13 2012435
14 201250
15 200649
16 200666
17
EXPERIMENTAL STUDY ON ELECTRO-MAGNETO-MECHANICAL COUPLING BEHAVIOR OF SMART MATERIALS
20054
18
[Application of biosurfactant in composting of agricultural waste].
20051
19
[Influence of different sorbents on adsorption effect of ammonia and compost property in aerobic composting].
20051
20 199717

About Fang Dai

Fang Dai is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 46 papers that have together received 4.4k indexed citations. Recurring topics across this work include Advancements in Battery Materials (26 papers), Advanced Battery Materials and Technologies (21 papers), Advanced Battery Technologies Research (11 papers), Supercapacitor Materials and Fabrication (9 papers), Semiconductor materials and devices (5 papers), Advanced Photocatalysis Techniques (3 papers), Quantum Dots Synthesis And Properties (2 papers) and Thermal Expansion and Ionic Conductivity (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (2.1k citations), Automotive Engineering (828 citations) and Electrical and Electronic Engineering (3.6k citations). Fang Dai has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Mei Cai, Shuru Chen, Mikhail L. Gordin, Donghai Wang, Jingmei Shen, Ran Yi, Cunman Zhang, Qiangfeng Xiao, Bing Li and Li Yang. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

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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