Xiaofen Wang

656 citations
42 papers · 514 · h-index 13

Impact in

Papers in

Xiaofen Wang

38 papers receiving 503 citations

Peers

Xiaofen Wang
Comparison fields: 5 of 117
  • Sensory Systems 44
  • Polymers and Plastics 131
  • Health Informatics 5
  • Computer Vision and Pattern Recognition 72
  • Electrical and Electronic Engineering 203
Replace Yongqiang Tan with:
Yongqiang Tan United States
Long Miao China
Xinlian Liu China
Markus Karjalainen Finland
Xiaolin Luo Australia
Xinhang Liu China
Yu-Cheng Chou Taiwan
Charles R. Tolle United States
Weixiao Liu China
Xiaofen Wang relative to Yongqiang Tan United States Yongqiang Tan's profile →
Citations per field
00.5×6.3×
Yongqiang Tan · 1×
Citations per year

Countries citing papers authored by Xiaofen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201698
2 201545
3 201638
4 201434
5 202228
6 202026
7 201724
8 201718
9 201418
10 202117
11 201817
12 201216
13 202312
14 202312
15 201712
16 200610
17 200610
18 20229
19 20239
20 20228

About Xiaofen Wang

Xiaofen Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Mechanics of Materials, Polymers and Plastics and Biomedical Engineering, having authored 42 papers that have together received 514 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (5 papers), Conducting polymers and applications (5 papers), Flow Measurement and Analysis (5 papers), Image Enhancement Techniques (4 papers), Perovskite Materials and Applications (4 papers), Water Quality Monitoring Technologies (3 papers), Image and Signal Denoising Methods (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Sensory Systems (44 citations), Polymers and Plastics (131 citations), Health Informatics (5 citations), Computer Vision and Pattern Recognition (72 citations) and Electrical and Electronic Engineering (203 citations). Xiaofen Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hui Huang, Lei Lv, Zhou Yang, Ke‐Jun Xu, Guozhen Shen, Suzanne L. Mansour, Lisa D. Urness, Xinlong Wang, Tao Dong and Takahiro Ohyama. Their work appears in journals such as Measurement, ACS Applied Materials & Interfaces, BMC Veterinary Research, Review of Scientific Instruments and IEEE Sensors Journal.

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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