Xiaohua Chen

813 citations
33 papers · 567 · h-index 8

Impact in

Papers in

Xiaohua Chen

29 papers receiving 552 citations

Peers

Xiaohua Chen
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 149
  • Building and Construction 99
  • Media Technology 45
  • Computational Mathematics 2
  • Biomedical Engineering 115
Replace Wentao He with:
Wentao He China
Hyunwoo Chung South Korea
Ran Vijay Singh India
Rasmus Hjorth Nielsen Denmark
Hyun-Chul Kim South Korea
Ιoannis Panagiotopoulos Greece
Yaping Zhao China
Zhimei Zhang China
Simin Chen China
Xiaohua Chen relative to Wentao He China Wentao He's profile →
Citations per field
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Wentao He · 1×
Citations per year

Countries citing papers authored by Xiaohua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004246
2 2014139
3 201858
4 201524
5 201513
6 20189
7 20209
8 20198
9 20237
10 20117
11 20207
12 20244
13 20244
14 20234
15 20214
16 20144
17 20243
18 20243
19 20163
20 20232

About Xiaohua Chen

Xiaohua Chen is a scholar working on Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Mechanical Engineering and Electrical and Electronic Engineering, having authored 33 papers that have together received 567 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (11 papers), Remote Sensing and Land Use (8 papers), Advanced Image Fusion Techniques (6 papers), Induction Heating and Inverter Technology (2 papers), Advanced Optical Network Technologies (2 papers), Plant and animal studies (2 papers), Image and Signal Denoising Methods (2 papers) and Software-Defined Networks and 5G (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (149 citations), Building and Construction (99 citations), Media Technology (45 citations), Computational Mathematics (2 citations) and Biomedical Engineering (115 citations). Xiaohua Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Yao, Jianping Weng, Wen Xu, Zhihong Liao, Zhimin Huang, Yanbing Li, Guoliang Hu, Xuefei Zhou, Yalei Zhang and Zhanguang Liu. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, IEEE Communications Letters and Journal of Alloys and Compounds.

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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