Nan Xue

71 total papers · 3.7k total citations
33 papers, 2.2k citations indexed

About

Nan Xue is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Nan Xue has authored 33 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Nan Xue's work include Advanced Image and Video Retrieval Techniques (10 papers), Robotics and Sensor-Based Localization (9 papers) and Advanced Vision and Imaging (7 papers). Nan Xue is often cited by papers focused on Advanced Image and Video Retrieval Techniques (10 papers), Robotics and Sensor-Based Localization (9 papers) and Advanced Vision and Imaging (7 papers). Nan Xue collaborates with scholars based in China, United States and United Kingdom. Nan Xue's co-authors include Gui-Song Xia, Jian Ding, Qikai Lu, Yang Long, Jiaming Han, Tianfu Wu, Liangpei Zhang, Dengxin Dai, Song Bai and Fudong Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Nan Xue

31 papers receiving 2.1k citations

Hit Papers

Learning RoI Transformer ... 2019 2026 2021 2023 2019 2021 2022 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nan Xue 1.7k 725 719 266 161 33 2.2k
Srikumar Ramalingam 1.4k 0.8× 383 0.5× 686 1.0× 145 0.5× 91 0.6× 39 1.9k
Shuhui Bu 1.6k 0.9× 465 0.6× 883 1.2× 200 0.8× 160 1.0× 90 2.5k
Yang Long 1.4k 0.8× 574 0.8× 934 1.3× 197 0.7× 165 1.0× 18 1.9k
Keyan Chen 1.2k 0.7× 372 0.5× 663 0.9× 358 1.3× 186 1.2× 47 2.4k
Gang Wan 1.3k 0.7× 533 0.7× 1.1k 1.5× 305 1.1× 148 0.9× 66 2.2k
Xue Yang 2.5k 1.5× 1.3k 1.8× 1.1k 1.6× 290 1.1× 175 1.1× 57 3.3k
Tai‐Jiang Mu 1.6k 0.9× 376 0.5× 315 0.4× 555 2.1× 87 0.5× 56 2.7k
Ángel D. Sappa 1.9k 1.1× 696 1.0× 507 0.7× 181 0.7× 90 0.6× 153 2.7k
Xingyu Jiang 1.7k 1.0× 1.1k 1.5× 617 0.9× 191 0.7× 83 0.5× 36 2.2k
Jia-Wang Bian 1.5k 0.8× 593 0.8× 259 0.4× 169 0.6× 55 0.3× 21 1.8k

Countries citing papers authored by Nan Xue

Since Specialization
Citations

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

Fields of papers citing papers by Nan Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Xue. A scholar is included among the top collaborators of Nan Xue based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nan Xue. Nan Xue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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