Jiejun Xu

2.8k total citations · 1 hit paper
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, Lihui Liu, Jim Kleban 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

46 papers receiving 1.6k citations

Hit Papers

Graph convolutional networks: a comprehensive review 2019 2026 2021 2023 2019 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiejun Xu United States 17 773 432 243 204 179 48 1.6k
Si Zhang United States 15 894 1.2× 305 0.7× 398 1.6× 197 1.0× 251 1.4× 23 1.9k
Qimai Li Hong Kong 7 1.3k 1.7× 471 1.1× 324 1.3× 329 1.6× 157 0.9× 11 1.8k
Zhichao Han China 11 1.2k 1.6× 468 1.1× 406 1.7× 301 1.5× 220 1.2× 25 2.0k
Xiao Luo China 23 784 1.0× 471 1.1× 139 0.6× 203 1.0× 165 0.9× 129 1.6k
Zizhao Zhang China 9 840 1.1× 736 1.7× 205 0.8× 242 1.2× 117 0.7× 13 1.9k
Dejing Dou China 26 1.3k 1.6× 518 1.2× 100 0.4× 237 1.2× 233 1.3× 109 2.3k
Aruna Tiwari India 17 1.1k 1.5× 503 1.2× 97 0.4× 204 1.0× 171 1.0× 117 2.0k
Akash Srivastava India 10 1.0k 1.4× 466 1.1× 118 0.5× 258 1.3× 147 0.8× 44 1.7k
Mohammad‐Reza Feizi‐Derakhshi Iran 20 690 0.9× 294 0.7× 131 0.5× 255 1.3× 74 0.4× 98 1.4k
Lorenzo Livi Italy 20 813 1.1× 305 0.7× 189 0.8× 116 0.6× 173 1.0× 70 1.4k

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

20 of 20 papers shown
1.
Valiente, Rodolfo, et al.. (2025). An Adaptive Hierarchical Framework With Contrastive Aggregation for Traffic Sign Classification. IEEE Open Journal of Intelligent Transportation Systems. 6. 230–243.
2.
Tong, Hanghang, et al.. (2024). Fairgen: Towards Fair Graph Generation. 2285–2297. 1 indexed citations
3.
Valiente, Rodolfo, et al.. (2023). Robust Perception and Visual Understanding of Traffic Signs in the Wild. IEEE Open Journal of Intelligent Transportation Systems. 4. 611–625. 11 indexed citations
5.
Warmsley, Dana, et al.. (2023). Learning Explainable Multi-view Representations for Malware Authorship Attribution. 3099–3106. 1 indexed citations
6.
Xu, Zhe, Si Zhang, Yinglong Xia, et al.. (2021). DESTINE. 3558–3562. 3 indexed citations
7.
Liu, Lihui, et al.. (2021). KompaRe. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3308–3318. 11 indexed citations
8.
Lu, Tsai-Ching, Jiejun Xu, Si Zhang, et al.. (2020). CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. 1634–1643. 3 indexed citations
9.
Zhou, Dawei, et al.. (2019). Misc-GAN: A Multi-scale Generative Model for Graphs. Frontiers in Big Data. 2. 3–3. 21 indexed citations
10.
Wu, Jun, Jingrui He, & Jiejun Xu. (2019). DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification. 406–415. 110 indexed citations
11.
12.
Zhang, Si, Hanghang Tong, Jiejun Xu, & Ross Maciejewski. (2019). Graph convolutional networks: a comprehensive review. SHILAP Revista de lepidopterología. 6(1). 11–11. 1034 indexed citations breakdown →
13.
Zhang, Si, Hanghang Tong, Jiejun Xu, Yifan Hu, & Ross Maciejewski. (2019). ORIGIN: Non-Rigid Network Alignment. 998–1007. 12 indexed citations
14.
Zhang, Si, Hanghang Tong, Jie Tang, Jiejun Xu, & Wei Fan. (2017). iNEAT: Incomplete Network Alignment. 1189–1194. 24 indexed citations
15.
Compton, Ryan, Craig R. Lee, Jiejun Xu, et al.. (2014). Using publicly visible social media to build detailed forecasts of civil unrest. PubMed. 3(1). 4–4. 32 indexed citations
16.
Xu, Jiejun, Tsai-Ching Lu, Ryan Compton, & David L. Allen. (2014). Quantifying cross-platform engagement through large-scale user alignment. 281–282. 3 indexed citations
17.
Xu, Jiejun, et al.. (2013). Graph-Based Topic-Focused Retrieval in Distributed Camera Network. IEEE Transactions on Multimedia. 15(8). 2046–2057. 16 indexed citations
18.
Kim, Kyungnam, Michael C. Cao, Shankar Rao, et al.. (2011). Multi-object detection and behavior recognition from motion 3D data. 18. 37–42. 3 indexed citations
19.
Anguera, Xavier, Jiejun Xu, & Nuria Oliver. (2008). Multimodal photo annotation and retrieval on a mobile phone. 188–194. 20 indexed citations
20.
Gelasca, Elisa Drelie, et al.. (2007). UThe Vision Research Lab of UCSB at TRECVID 2007.. TRECVID. 1 indexed citations

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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