Philippe Xu

38 papers receiving 728 citations

Peers

Philippe Xu
Comparison fields: 5 of 77
  • Atmospheric Science 266
  • Global and Planetary Change 238
  • Automotive Engineering 108
  • Computer Vision and Pattern Recognition 137
  • Artificial Intelligence 179
Replace Lihua Li with:
Lihua Li China
Xudong Zhang China
Václav Šmídl Czechia
Ryan King United States
Jianjin Zhang China
Xia Xu China
Susumu Shimada Japan
Jack Elston United States
Zhihui Lin China
Philippe Xu relative to Lihua Li China Lihua Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Philippe Xu

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202193
2 201375
3 201565
4 200753
5 201852
6 201438
7 202036
8 201735
9 201834
10 201433
11 201832
12 202127
13 201920
14 201816
15 201714
16 201912
17 201412
18 201910
19 20219
20 20189

About Philippe Xu

Philippe Xu is a scholar working on Aerospace Engineering, Automotive Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Atmospheric Science, having authored 40 papers that have together received 742 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (13 papers), Autonomous Vehicle Technology and Safety (11 papers), Atmospheric Ozone and Climate (10 papers), Atmospheric and Environmental Gas Dynamics (7 papers), Atmospheric chemistry and aerosols (7 papers), Advanced Neural Network Applications (5 papers), Ionosphere and magnetosphere dynamics (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). The work is most often cited by research in Atmospheric Science (266 citations), Global and Planetary Change (238 citations), Automotive Engineering (108 citations), Computer Vision and Pattern Recognition (137 citations) and Artificial Intelligence (179 citations). Philippe Xu has collaborated with scholars based in France, United States and China. Frequent co-authors include Thierry Denœux, Philippe Bonnifait, Tong Zheng, Franck Davoine, P. K. Bhartia, Zhong‐Qiang Chen, C. J. Seftor, Hongbin Zha, L. E. Flynn and Glen Jaross. Their work appears in journals such as Atmospheric measurement techniques, IEEE Transactions on Intelligent Transportation Systems, IEEE Robotics and Automation Letters, IEEE Intelligent Transportation Systems Magazine and IEEE Transactions on Intelligent Vehicles.

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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