Xiaojie Jin

88 total papers · 2.7k total citations
32 papers, 716 citations indexed

About

Xiaojie Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Xiaojie Jin has authored 32 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Xiaojie Jin's work include Advanced Neural Network Applications (13 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Xiaojie Jin is often cited by papers focused on Advanced Neural Network Applications (13 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Xiaojie Jin collaborates with scholars based in China, Singapore and United States. Xiaojie Jin's co-authors include Shuicheng Yan, Jiashi Feng, Yunpeng Chen, Huaxin Xiao, Zequn Jie, Jianan Li, Junjun Xiong, Chunyan Xu, Yunchao Wei and Xiaohui Shen and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Xiaojie Jin

30 papers receiving 697 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaojie Jin 503 229 47 43 35 32 716
Mingming Sun 386 0.8× 372 1.6× 66 1.4× 28 0.7× 23 0.7× 65 782
Chengliang Liu 406 0.8× 473 2.1× 48 1.0× 22 0.5× 25 0.7× 47 782
Jinjia Peng 688 1.4× 162 0.7× 151 3.2× 34 0.8× 20 0.6× 53 848
Jinhui Zhu 383 0.8× 317 1.4× 27 0.6× 35 0.8× 15 0.4× 46 724
Min Wang 515 1.0× 240 1.0× 51 1.1× 14 0.3× 19 0.5× 38 735
Shaohuai Shi 350 0.7× 483 2.1× 18 0.4× 40 0.9× 25 0.7× 37 803
Felix X. Yu 619 1.2× 501 2.2× 27 0.6× 20 0.5× 15 0.4× 29 904
Yuchao Li 378 0.8× 322 1.4× 18 0.4× 12 0.3× 25 0.7× 40 697
Ziheng Jiang 404 0.8× 381 1.7× 39 0.8× 33 0.8× 40 1.1× 24 894
Jiajun Wen 458 0.9× 214 0.9× 116 2.5× 20 0.5× 16 0.5× 51 641

Countries citing papers authored by Xiaojie Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojie Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojie Jin

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