Jiejun Xu

70 total papers · 2.7k total citations
48 papers, 1.6k citations indexed

About

Jiejun Xu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Jiejun Xu has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Jiejun Xu's work include Complex Network Analysis Techniques (17 papers), Advanced Graph Neural Networks (17 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Jiejun Xu is often cited by papers focused on Complex Network Analysis Techniques (17 papers), Advanced Graph Neural Networks (17 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Jiejun Xu collaborates with scholars based in United States, China and Poland. Jiejun Xu's co-authors include Hanghang Tong, Si Zhang, Ross Maciejewski, Jingrui He, Jun Wu, B.S. Manjunath, Tsai-Ching Lu, Jim Kleban, Lihui Liu and Ryan Compton and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Multimedia and ACM Transactions on Knowledge Discovery from Data.

In The Last Decade

Jiejun Xu

45 papers receiving 1.6k citations

Hit Papers

Graph convolutional netwo... 2019 2026 2021 2023 2019 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Jiejun Xu 757 424 237 201 175 48 1.6k
Monica Bianchini 760 1.0× 441 1.0× 209 0.9× 226 1.1× 172 1.0× 83 1.9k
Si Zhang 872 1.2× 295 0.7× 385 1.6× 192 1.0× 244 1.4× 23 1.8k
Zhichao Han 1.2k 1.6× 456 1.1× 399 1.7× 295 1.5× 220 1.3× 25 2.0k
Akash Srivastava 1.0k 1.4× 457 1.1× 116 0.5× 256 1.3× 156 0.9× 43 1.7k
Xiao Luo 730 1.0× 452 1.1× 130 0.5× 191 1.0× 157 0.9× 128 1.5k
Dongkuan Xu 791 1.0× 339 0.8× 290 1.2× 188 0.9× 99 0.6× 51 1.9k
Yifan Feng 964 1.3× 830 2.0× 226 1.0× 346 1.7× 125 0.7× 29 2.1k
Mohammad‐Reza Feizi‐Derakhshi 756 1.0× 345 0.8× 134 0.6× 266 1.3× 81 0.5× 108 1.5k
Christopher Morris 559 0.7× 444 1.0× 172 0.7× 117 0.6× 110 0.6× 35 1.3k
Dejing Dou 1.2k 1.6× 503 1.2× 99 0.4× 230 1.1× 230 1.3× 109 2.2k

Countries citing papers authored by Jiejun Xu

Since Specialization
Citations

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

Fields of papers citing papers by Jiejun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiejun Xu

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026