Xue Wan

544 citations
37 papers · 389 · h-index 10

Impact in

Papers in

Xue Wan

32 papers receiving 380 citations

Peers

Xue Wan
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 246
  • Media Technology 88
  • Aerospace Engineering 198
  • Geology 24
  • Atmospheric Science 49
Replace N.J. Redding with:
N.J. Redding Australia
Xianxiang Qin China
Vicente Arévalo Spain
Jinsong Tang China
Yufeng Cheng China
Doochun Seo South Korea
Yong-Huai Huang Taiwan
Yaomin He China
Wolfgang Middelmann Germany
Xue Wan relative to N.J. Redding Australia N.J. Redding's profile →
Citations per field
00.5×10×20×30×40×49.5×
N.J. Redding · 1×
Citations per year

Countries citing papers authored by Xue Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xue Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019127
2 201653
3 201527
4 202023
5 202222
6 201920
7 200620
8 201818
9 202010
10 201910
11 20207
12 20196
13 20236
14 20145
15 20145
16 20185
17 20224
18 20183
19 20242
20 20222

About Xue Wan

Xue Wan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology, Astronomy and Astrophysics and Atmospheric Science, having authored 37 papers that have together received 389 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (17 papers), Advanced Image and Video Retrieval Techniques (12 papers), Advanced Vision and Imaging (8 papers), Space Satellite Systems and Control (7 papers), Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (5 papers), Robotic Path Planning Algorithms (3 papers) and Satellite Image Processing and Photogrammetry (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (246 citations), Media Technology (88 citations), Aerospace Engineering (198 citations), Geology (24 citations) and Atmospheric Science (49 citations). Xue Wan has collaborated with scholars based in China, United Kingdom and Italy. Frequent co-authors include Shengyang Li, Mingfei Han, Gui-Song Xia, Shiyu Xuan, Jian Guo Liu, Jianguo Liu, Masahiro Yamamoto, Shengyang Zhang, Shane P. Windsor and Wanfeng Zhang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors, Remote Sensing, IEEE Transactions on Aerospace and Electronic Systems and Journal of Experimental Biology.

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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