Xiaowei Chen

44 papers receiving 964 citations

Peers

Xiaowei Chen
Comparison fields: 5 of 70
  • Experimental and Cognitive Psychology 356
  • Environmental Engineering 38
  • Materials Chemistry 108
  • Computational Theory and Mathematics 31
  • Cognitive Neuroscience 31
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Robert Davis New Zealand
Zhigang Yao China
Xia Zhang China
Hongwei Wei China
Youssef El Merabet Morocco
Susan M. Eitelman United States
Shivam Gupta India
Lars Buitinck Netherlands
Álex Hernández-García Germany
Nhat Truong Pham South Korea
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Citations per field
00.5×5×10×15.4×
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Citations per year

Countries citing papers authored by Xiaowei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018255
2 2018156
3 2020100
4 201968
5 202150
6 202149
7 202130
8
Diagenesis of black shale in Longmaxi Formation, southern Sichuan Basin and its periphery
201528
9 201925
10 202122
11 201920
12 202018
13 202118
14 202317
15 202415
16 201712
17 202512
18 201411
19 202111
20 20177

About Xiaowei Chen

Xiaowei Chen is a scholar working on Environmental Engineering, Cancer Research, Mechanics of Materials, Ocean Engineering and Biophysics, having authored 47 papers that have together received 977 indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (3 papers), Satellite Image Processing and Photogrammetry (3 papers), High-Velocity Impact and Material Behavior (3 papers), AI in cancer detection (2 papers), Emotion and Mood Recognition (2 papers), Cell Image Analysis Techniques (2 papers), Cancer Genomics and Diagnostics (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (356 citations), Environmental Engineering (38 citations), Materials Chemistry (108 citations), Computational Theory and Mathematics (31 citations) and Cognitive Neuroscience (31 citations). Xiaowei Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qingfeng Wu, Ming Qiu, Yingdong Wang, Jinfu Chen, Qiguang He, Xiaolong Wang, Yuanquan Chen, Dan Zhu, Tian Li and Yun-min CHEN. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports, Journal of the National Cancer Center, Defence Technology and IEEE Geoscience and Remote Sensing Letters.

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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