Zhaohe Dai

5.8k citations
85 papers · 4.8k indexed · 2 hit papers · h-index 36

Impact in

Papers in

Zhaohe Dai

76 papers receiving 4.7k citations

Hit Papers

Strain Engineering of 2D Materials: Issues and Opportunities at the Interface 2019 · 637 citations
6372018202620202023200400600

Peers

Zhaohe Dai
Comparison fields: 5 of 106
  • Polymers and Plastics 786
  • Biomedical Engineering 2.4k
  • Materials Chemistry 2.4k
  • Electronic, Optical and Magnetic Materials 549
  • Cognitive Neuroscience 508
Replace Sung Youb Kim with:
Sung Youb Kim South Korea
Hak‐Joo Lee South Korea
Ronghui Wu China
Weidong Yang China
Seunggun Yu South Korea
Hoon‐Sik Kim United States
Tae‐Ho Kim South Korea
Yang Gao China
Kan Li China
Heung Cho Ko South Korea
Zhaohe Dai relative to Sung Youb Kim South Korea Sung Youb Kim's profile →
Citations per field
00.5×1.5×2.0×
Sung Youb Kim · 1×
Citations per year

Countries citing papers authored by Zhaohe Dai

Since Specialization
Citations

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

Fields of papers citing papers by Zhaohe Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20250
3 20250
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11 20247
12 202438
13 202213
14 202143
15 202053
16 201919
17 201931
18 2018156
19 201826
20 201810

About Zhaohe Dai

Zhaohe Dai is a scholar working on Surfaces, Coatings and Films, Materials Chemistry, Biomedical Engineering, Polymers and Plastics and Mechanics of Materials, having authored 85 papers that have together received 4.8k indexed citations. Recurring topics across this work include Graphene research and applications (31 papers), Advanced Sensor and Energy Harvesting Materials (28 papers), Carbon Nanotubes in Composites (15 papers), 2D Materials and Applications (14 papers), Adhesion, Friction, and Surface Interactions (10 papers), Graphene and Nanomaterials Applications (8 papers), Tactile and Sensory Interactions (8 papers) and MXene and MAX Phase Materials (8 papers). The work is most often cited by research in Polymers and Plastics (786 citations), Biomedical Engineering (2.4k citations), Materials Chemistry (2.4k citations), Electronic, Optical and Magnetic Materials (549 citations) and Cognitive Neuroscience (508 citations). Zhaohe Dai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhong Zhang, Luqi Liu, Nanshu Lu, Guorui Wang, Jidong Shi, Lingyu Zhao, Rui Huang, Ying Fang, Liu Wang and Chuanxin Weng. Their work appears in journals such as Journal of the Mechanics and Physics of Solids, ACS Applied Materials & Interfaces, Advanced Functional Materials, Physical Review Letters and Carbon.

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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