Gaoxiang Chen

556 citations
39 papers · 366 · h-index 11

Impact in

Papers in

Gaoxiang Chen

31 papers receiving 358 citations

Peers

Gaoxiang Chen
Comparison fields: 5 of 92
  • Neurology 74
  • Computer Vision and Pattern Recognition 97
  • Radiology, Nuclear Medicine and Imaging 69
  • Ocean Engineering 43
  • Biomaterials 29
Replace Getao Du with:
Getao Du China
Qian Yu China
Guodong Zeng Switzerland
Xiuhong Zhu China
Yongqiang Tan United States
Hans Meine Germany
Yifan Wang China
Jiongquan Chen China
Sanaz Karimijafarbigloo Germany
Amelie Rauland Germany
Gaoxiang Chen relative to Getao Du China Getao Du's profile →
Citations per field
00.5×5.5×
Getao Du · 1×
Citations per year

Countries citing papers authored by Gaoxiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Gaoxiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202062
2 202147
3 201942
4 202333
5 202325
6
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
202023
7 200920
8 201116
9 202113
10 201812
11 201911
12 200810
13 20198
14 20227
15 20235
16 20174
17 20194
18 20253
19 20253
20 20233

About Gaoxiang Chen

Gaoxiang Chen is a scholar working on Biomedical Engineering, Geophysics, Ocean Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 39 papers that have together received 366 indexed citations. Recurring topics across this work include Seismic Waves and Analysis (6 papers), Geophysical Methods and Applications (4 papers), Brain Tumor Detection and Classification (4 papers), Seismic Imaging and Inversion Techniques (4 papers), Advanced Neural Network Applications (3 papers), Building Energy and Comfort Optimization (3 papers), Medical Image Segmentation Techniques (2 papers) and Multilevel Inverters and Converters (2 papers). The work is most often cited by research in Neurology (74 citations), Computer Vision and Pattern Recognition (97 citations), Radiology, Nuclear Medicine and Imaging (69 citations), Ocean Engineering (43 citations) and Biomaterials (29 citations). Gaoxiang Chen has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Zhifang Pan, Islem Rekik, Fuqian Shi, Qun Li, Li‐Yun Fu, Kang Sun, Jialin Shi, Wanwan Li, Cyril D. Boateng and Xiaoming Liu. Their work appears in journals such as Journal of Building Engineering, IEEE Transactions on Geoscience and Remote Sensing, NeuroImage, RSC Advances and Veterinary and Comparative 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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