Caiyan Jia

137 total papers · 2.5k total citations
77 papers, 1.5k citations indexed

About

Caiyan Jia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Caiyan Jia has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 26 papers in Statistical and Nonlinear Physics. Recurrent topics in Caiyan Jia's work include Complex Network Analysis Techniques (26 papers), Advanced Neural Network Applications (13 papers) and Advanced Clustering Algorithms Research (12 papers). Caiyan Jia is often cited by papers focused on Complex Network Analysis Techniques (26 papers), Advanced Neural Network Applications (13 papers) and Advanced Clustering Algorithms Research (12 papers). Caiyan Jia collaborates with scholars based in China, United States and Macao. Caiyan Jia's co-authors include Jian Yu, Jian Yu, Yao Ma, Yiqi Wang, Xiaoyang Wang, Jiliang Tang, Wei Jin, Xin Wang, Ziying Song and Matthew B. Carson and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Caiyan Jia

65 papers receiving 1.4k citations

Hit Papers

Traffic Flow Prediction v... 2020 2026 2022 2024 2020 2023 2024 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Caiyan Jia 458 444 282 257 206 77 1.5k
Rui Zhou 250 0.5× 701 1.6× 241 0.9× 130 0.5× 164 0.8× 138 1.7k
Yu Zheng 368 0.8× 810 1.8× 218 0.8× 204 0.8× 192 0.9× 77 1.7k
Daniel Delling 306 0.7× 354 0.8× 542 1.9× 173 0.7× 408 2.0× 54 1.8k
Guan Yuan 241 0.5× 353 0.8× 166 0.6× 85 0.3× 198 1.0× 73 1.2k
Guannan Liu 109 0.2× 528 1.2× 162 0.6× 263 1.0× 381 1.8× 66 1.4k
Xiaoming Zhang 525 1.1× 854 1.9× 179 0.6× 59 0.2× 77 0.4× 111 1.5k
Dianjie Lu 245 0.5× 241 0.5× 100 0.4× 59 0.2× 106 0.5× 75 1.3k
Lin Mei 638 1.4× 590 1.3× 166 0.6× 55 0.2× 141 0.7× 70 1.7k
Daniel Aloise 251 0.5× 558 1.3× 142 0.5× 96 0.4× 93 0.5× 61 1.4k
Xiang Fei 211 0.5× 267 0.6× 178 0.6× 196 0.8× 212 1.0× 114 1.2k

Countries citing papers authored by Caiyan Jia

Since Specialization
Citations

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

Fields of papers citing papers by Caiyan Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caiyan Jia

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