Xiaofei Jia

41 total papers · 416 total citations
29 papers, 287 citations indexed

About

Xiaofei Jia is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Safety Research. According to data from OpenAlex, Xiaofei Jia has authored 29 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Signal Processing, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Safety Research. Recurrent topics in Xiaofei Jia's work include Biometric Identification and Security (13 papers), Forensic Fingerprint Detection Methods (6 papers) and User Authentication and Security Systems (4 papers). Xiaofei Jia is often cited by papers focused on Biometric Identification and Security (13 papers), Forensic Fingerprint Detection Methods (6 papers) and User Authentication and Security Systems (4 papers). Xiaofei Jia collaborates with scholars based in China, United States and Philippines. Xiaofei Jia's co-authors include Yali Zang, Jie Tian, Xin Yang, Ruwei Dai, Ning Zhang, Xinzhong Zhu, Xin Yang, Kai Cao, Ning Zhang and Yi Li and has published in prestigious journals such as Neuropsychologia, Information Sciences and Frontiers in Neuroscience.

In The Last Decade

Xiaofei Jia

24 papers receiving 282 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaofei Jia 156 136 76 46 37 29 287
Gi Pyo Nam 130 0.8× 173 1.3× 18 0.2× 40 0.9× 8 0.2× 25 303
Guang Huo 140 0.9× 107 0.8× 26 0.3× 35 0.8× 16 0.4× 28 259
Caiyong Wang 156 1.0× 133 1.0× 15 0.2× 42 0.9× 21 0.6× 24 258
Pawel Drozdowski 247 1.6× 236 1.7× 13 0.2× 121 2.6× 11 0.3× 32 325
Giulia Orrù 71 0.5× 91 0.7× 31 0.4× 20 0.4× 10 0.3× 27 162
Gabriel Emile Hine 109 0.7× 57 0.4× 23 0.3× 102 2.2× 36 1.0× 16 297
Prathyusha Kanakam 240 1.5× 126 0.9× 27 0.4× 99 2.2× 31 0.8× 23 310
Siliang Ma 82 0.5× 106 0.8× 13 0.2× 21 0.5× 10 0.3× 16 201
Abhishek Gangwar 232 1.5× 194 1.4× 25 0.3× 71 1.5× 10 0.3× 13 302
Shejin Thavalengal 248 1.6× 152 1.1× 35 0.5× 156 3.4× 11 0.3× 15 300

Countries citing papers authored by Xiaofei Jia

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofei Jia

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