Da Huang

2.1k citations
30 papers · 1.9k · 1 hit paper · h-index 18

Impact in

Papers in

Da Huang

28 papers receiving 1.9k citations

Da Huang's Hit Papers

A Review on Graphene-Based Gas/Vapor Sensors with Unique Properties and Potential Applications 2015 · 529 citations
5290+3+7Years since publication100200300400500

Peers

Da Huang
Comparison fields: 5 of 76
  • Bioengineering 571
  • Polymers and Plastics 357
  • Electrical and Electronic Engineering 1.4k
  • Materials Chemistry 1.0k
  • Biomedical Engineering 760
Replace Fan Yu with:
Fan Yu China
Ruma Ghosh India
Lili Xie China
Guili He China
Zhenggang Xue China
Amirhossein Hasani South Korea
Chengming Lou China
Cristian Fàbrega Spain
Ruiqing Xing China
Da Huang relative to Fan Yu China Fan Yu's profile →
Citations per field
00.5×4.5×
Fan Yu · 1×
Citations per year

Countries citing papers authored by Da Huang

Since Specialization
Citations

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

Fields of papers citing papers by Da Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Review on Graphene-Based Gas/Vapor Sensors with Unique Properties and Potential Applications
Hit paper breakdown →
2015529
2 2018253
3 2016157
4 2017126
5 2016123
6 2018120
7 201795
8 201586
9 201576
10 201774
11 201760
12 201434
13 201432
14 201730
15 201727
16 201027
17 201826
18 202217
19 201613
20 202112

About Da Huang

Da Huang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Bioengineering and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (10 papers), Analytical Chemistry and Sensors (6 papers), Carbon and Quantum Dots Applications (5 papers), ZnO doping and properties (5 papers), Nanocluster Synthesis and Applications (4 papers), Advanced Photocatalysis Techniques (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers) and Graphene research and applications (3 papers). The work is most often cited by research in Bioengineering (571 citations), Polymers and Plastics (357 citations), Electrical and Electronic Engineering (1.4k citations), Materials Chemistry (1.0k citations) and Biomedical Engineering (760 citations). Da Huang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Zhi Yang, Nantao Hu, Guili He, Yafei Zhang, Tao Wang, Dannong He, Guilin Yin, Shusheng Xu, Xiaolin Li and Yanjie Su. Their work appears in journals such as Sensors and Actuators B Chemical, Physical Chemistry Chemical Physics, Nanoscale, Nanoscale Research Letters and Frontiers in Oncology.

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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