Xiangxiang Chu

114 total papers · 5.4k total citations
27 papers, 623 citations indexed

About

Xiangxiang Chu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Xiangxiang Chu has authored 27 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Xiangxiang Chu's work include Advanced Neural Network Applications (9 papers), Speech Recognition and Synthesis (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Xiangxiang Chu is often cited by papers focused on Advanced Neural Network Applications (9 papers), Speech Recognition and Synthesis (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Xiangxiang Chu collaborates with scholars based in China, Singapore and Malaysia. Xiangxiang Chu's co-authors include Ruijun Xu, Bo Zhang, Xinjie Yu, Qingyuan Li, Hailong Ma, Changqian Yu, Nong Sang, Changxin Gao, Bo Zhang and Qingyuan Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Internet of Things Journal and IEEE Transactions on Plasma Science.

In The Last Decade

Xiangxiang Chu

23 papers receiving 601 citations

Hit Papers

SCTNet: Single-Branch CNN... 2024 2026 2024 10 20 30 40 50

Author Peers

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

Author Last Decade Papers Cites
Xiangxiang Chu 408 254 98 76 52 27 623
Kun Yuan 492 1.2× 221 0.9× 118 1.2× 41 0.5× 54 1.0× 32 717
Wei Zhao 344 0.8× 197 0.8× 58 0.6× 65 0.9× 41 0.8× 48 669
Bo Han 266 0.7× 255 1.0× 57 0.6× 92 1.2× 75 1.4× 35 657
Youngjun Yoo 425 1.0× 137 0.5× 124 1.3× 33 0.4× 66 1.3× 28 602
Haohan Wang 301 0.7× 319 1.3× 61 0.6× 27 0.4× 38 0.7× 32 626
Zhilong Zhang 262 0.6× 189 0.7× 45 0.5× 27 0.4× 68 1.3× 28 743
Jinpeng Li 403 1.0× 163 0.6× 74 0.8× 50 0.7× 45 0.9× 43 682
R. C. Gonzalez 233 0.6× 208 0.8× 89 0.9× 122 1.6× 59 1.1× 25 628
Mahmut Kaya 268 0.7× 254 1.0× 57 0.6× 21 0.3× 37 0.7× 21 656
Ruixuan Cong 289 0.7× 65 0.3× 76 0.8× 48 0.6× 71 1.4× 28 558

Countries citing papers authored by Xiangxiang Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xiangxiang Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangxiang Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangxiang Chu. A scholar is included among the top collaborators of Xiangxiang Chu 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 Xiangxiang Chu. Xiangxiang Chu 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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