Chaoxiang Chen

437 citations
38 papers · 302 · h-index 10

Impact in

Papers in

Chaoxiang Chen

35 papers receiving 297 citations

Peers

Chaoxiang Chen
Comparison fields: 5 of 100
  • Health, Toxicology and Mutagenesis 84
  • Computational Mathematics 2
  • Pollution 30
  • Water Science and Technology 34
  • Endocrinology 11
Replace Kirthiram K. Sivakumar with:
Kirthiram K. Sivakumar United States
Juan-Carlos Carrillo Netherlands
Alexandre Rieger Brazil
Saeed Ahmad Pakistan
Xiaolin Ruan China
X. Kondakis Greece
Jianmin Zhu United States
Md. Imam Hossain Bangladesh
Vasily A. Demidov Russia
Chaoxiang Chen relative to Kirthiram K. Sivakumar United States Kirthiram K. Sivakumar's profile →
Citations per field
00.5×
Kirthiram K. Sivakumar · 1×
Citations per year

Countries citing papers authored by Chaoxiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chaoxiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200762
2 200636
3 202422
4 202120
5 202319
6 202119
7 202115
8 202415
9 202114
10 20219
11 20238
12 20206
13 20236
14 20176
15 20225
16 20235
17 20175
18 20234
19 20233
20 20053

About Chaoxiang Chen

Chaoxiang Chen is a scholar working on Health, Toxicology and Mutagenesis, Civil and Structural Engineering, Computer Vision and Pattern Recognition, Environmental Engineering and Mechanical Engineering, having authored 38 papers that have together received 302 indexed citations. Recurring topics across this work include Water Treatment and Disinfection (9 papers), Advanced Fiber Optic Sensors (4 papers), Legionella and Acanthamoeba research (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Water Systems and Optimization (3 papers), Structural Health Monitoring Techniques (3 papers), Remote Sensing and Land Use (2 papers) and Wind and Air Flow Studies (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (84 citations), Computational Mathematics (2 citations), Pollution (30 citations), Water Science and Technology (34 citations) and Endocrinology (11 citations). Chaoxiang Chen has collaborated with scholars based in China, Belarus and United Kingdom. Frequent co-authors include Scott A. Venners, Zesong Li, Xueci Xing, Xin‐Jian Xu, Alayne G. Ronnenberg, Lei Wang, Anjie Huang, Zhihao Bi, Peng Qi and Chun Hu. Their work appears in journals such as Chemosphere, Optics and Lasers in Engineering, American Journal of Epidemiology, Journal of Water Process Engineering and Environmental Pollution.

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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