Fengliang Xu

520 citations
11 papers · 325 indexed · h-index 7

Fengliang Xu

11 papers receiving 291 citations

Peers

Fengliang Xu
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 181
  • Human-Computer Interaction 37
  • Aerospace Engineering 115
  • Safety, Risk, Reliability and Quality 34
  • Geology 19
Replace Thomas Mauthner with:
Thomas Mauthner Austria
Gregory Chamitoff United States
Jean-Marc Vézien France
Jiaxin Li China
Zhiyuan Lin China
Xinyi Wu China
Barbara Fletcher United States
David Lees United States
Qinggang Wu China
Bruno Mirbach Luxembourg
Fengliang Xu relative to Thomas Mauthner Austria Thomas Mauthner's profile →
Citations per field
00.5×6.3×
Thomas Mauthner · 1×
Citations per year

Countries citing papers authored by Fengliang Xu

Since Specialization
Citations

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

Fields of papers citing papers by Fengliang Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Fengliang 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 Fengliang Xu Line = papers co-authored together Fengliang Xu links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 202314
2 20103
3 200753
4 20046
5 200437
6
AUTOMATIC MARS LANDING SITE MAPPING USING SURFACE-BASED IMAGES
20036
7 20032
8 200373
9 200379
10 200251
11
HIGH PRECISION LANDING SITE MAPPING AND ROVER LOCALIZATION BY INTEGRATED BUNDLE ADJUSTMENT OF GROUND-BASED IMAGE DATA
20011

About Fengliang Xu

Fengliang Xu is a scholar working on Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 11 papers that have together received 325 indexed citations. Recurring topics across this work include Planetary Science and Exploration (5 papers), Robotics and Sensor-Based Localization (5 papers), Video Surveillance and Tracking Methods (3 papers), Robotic Path Planning Algorithms (2 papers), Astro and Planetary Science (2 papers), Automated Road and Building Extraction (1 paper), Gaze Tracking and Assistive Technology (1 paper) and Space Exploration and Technology (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Human-Computer Interaction (37 citations) and Aerospace Engineering (115 citations). Fengliang Xu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Kikuo Fujimura, Kaichi Fujimura, Xia Liu, Rongxing Li, Larry Matthies, Kaichang Di, R. E. Arvidson, Clark F. Olson, Sanchit Agarwal and J. Wang. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Sustainability and ISPRS Journal of Photogrammetry and Remote Sensing.

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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