Chaoxing Wu

5.7k citations
198 papers · 4.8k · h-index 38

Impact in

Papers in

Chaoxing Wu

179 papers receiving 4.7k citations

Peers

Chaoxing Wu
Comparison fields: 5 of 83
  • Polymers and Plastics 1.8k
  • Electrical and Electronic Engineering 2.8k
  • Biomedical Engineering 1.9k
  • Cellular and Molecular Neuroscience 725
  • Electronic, Optical and Magnetic Materials 696
Replace Tailiang Guo with:
Tailiang Guo China
Moon Kee Choi South Korea
Tailiang Guo China
U‐In Chung South Korea
Jie Shang China
Heung Cho Ko South Korea
Seungyong Han South Korea
Matthew Meitl United States
Jongseung Yoon United States
Bong Hoon Kim South Korea
Chaoxing Wu relative to Tailiang Guo China Tailiang Guo's profile →
Citations per field
00.5×1.5×
Tailiang Guo · 1×
Citations per year

Countries citing papers authored by Chaoxing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chaoxing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017294
2 2017242
3 2016208
4 2017208
5 2020206
6 2016138
7 2019130
8 2019129
9 201789
10 201185
11 201681
12 201781
13 201678
14 201872
15 202072
16 202371
17 201366
18 202164
19 201860
20 201959

About Chaoxing Wu

Chaoxing Wu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Polymers and Plastics and Condensed Matter Physics, having authored 198 papers that have together received 4.8k indexed citations. Recurring topics across this work include Conducting polymers and applications (50 papers), Advanced Sensor and Energy Harvesting Materials (48 papers), Advanced Memory and Neural Computing (45 papers), ZnO doping and properties (27 papers), GaN-based semiconductor devices and materials (26 papers), Quantum Dots Synthesis And Properties (24 papers), Graphene research and applications (22 papers) and Organic Light-Emitting Diodes Research (19 papers). The work is most often cited by research in Polymers and Plastics (1.8k citations), Electrical and Electronic Engineering (2.8k citations), Biomedical Engineering (1.9k citations), Cellular and Molecular Neuroscience (725 citations) and Electronic, Optical and Magnetic Materials (696 citations). Chaoxing Wu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Tae Whan Kim, Fushan Li, Tailiang Guo, Tailiang Guo, Yongai Zhang, Hwan Young Choi, Xiongtu Zhou, Jae Hyeon Park, Sihyun Sung and Haoqun An. Their work appears in journals such as Nano Energy, Scientific Reports, Organic Electronics, Vacuum and ACS Applied Materials & Interfaces.

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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