Xingyu Jiang

63 total papers · 3.3k total citations
36 papers, 2.2k citations indexed

About

Xingyu Jiang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Xingyu Jiang has authored 36 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 20 papers in Aerospace Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Xingyu Jiang's work include Advanced Image and Video Retrieval Techniques (20 papers), Robotics and Sensor-Based Localization (18 papers) and Advanced Neural Network Applications (6 papers). Xingyu Jiang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (20 papers), Robotics and Sensor-Based Localization (18 papers) and Advanced Neural Network Applications (6 papers). Xingyu Jiang collaborates with scholars based in China, United States and Canada. Xingyu Jiang's co-authors include Jiayi Ma, Junjun Jiang, Aoxiang Fan, Xiaojie Guo, Junchi Yan, Hao Zhang, Linfeng Tang, Guobao Xiao, Zhenfeng Shao and Ji Zhao and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cleaner Production.

In The Last Decade

Xingyu Jiang

31 papers receiving 2.2k citations

Hit Papers

Image Matching from Handc... 2020 2026 2022 2024 2020 2022 2021 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Xingyu Jiang 1.7k 1.1k 617 191 94 36 2.2k
Huabing Zhou 1.5k 0.9× 970 0.9× 613 1.0× 128 0.7× 74 0.8× 80 2.0k
Nan Xue 1.7k 1.0× 725 0.7× 719 1.2× 266 1.4× 100 1.1× 33 2.2k
Srikumar Ramalingam 1.4k 0.8× 383 0.4× 686 1.1× 145 0.8× 121 1.3× 39 1.9k
Peng Wang 1.5k 0.9× 601 0.6× 346 0.6× 147 0.8× 118 1.3× 30 1.8k
Jia-Wang Bian 1.5k 0.8× 593 0.6× 259 0.4× 169 0.9× 100 1.1× 21 1.8k
Fuchao Wu 1.9k 1.1× 978 0.9× 438 0.7× 145 0.8× 178 1.9× 76 2.2k
Roger Mohr 1.9k 1.1× 1.0k 0.9× 243 0.4× 244 1.3× 166 1.8× 73 2.5k
A.Y. Ng 1.5k 0.9× 513 0.5× 546 0.9× 283 1.5× 171 1.8× 18 2.2k
Guoshen Yu 2.0k 1.1× 863 0.8× 472 0.8× 118 0.6× 157 1.7× 21 2.5k
Caner Hazırbaş 2.6k 1.5× 746 0.7× 373 0.6× 422 2.2× 127 1.4× 14 3.1k

Countries citing papers authored by Xingyu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xingyu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingyu Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xingyu Jiang. A scholar is included among the top collaborators of Xingyu Jiang 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 Xingyu Jiang. Xingyu Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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