Can Xu

843 total citations
48 papers, 469 citations indexed

About

Can Xu is a scholar working on Computer Networks and Communications, Cognitive Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Can Xu has authored 48 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 21 papers in Cognitive Neuroscience and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Can Xu's work include Nonlinear Dynamics and Pattern Formation (39 papers), Neural dynamics and brain function (20 papers) and stochastic dynamics and bifurcation (12 papers). Can Xu is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (39 papers), Neural dynamics and brain function (20 papers) and stochastic dynamics and bifurcation (12 papers). Can Xu collaborates with scholars based in China, United States and Australia. Can Xu's co-authors include Zhigang Zheng, Jian Gao, Shuguang Guan, Yuting Sun, Stefano Boccaletti, Per Sebastian Skardal, Chongyang Tao, Xia Huang, Xiubo Geng and Daxin Jiang and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and The Journal of the Acoustical Society of America.

In The Last Decade

Can Xu

46 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Can Xu China	14	358	179	160	102	68	48	469
Joseph D. Hart United States	11	282 0.8×	166 0.9×	117 0.7×	89 0.9×	157 2.3×	29	477
Luca Gallo Italy	12	300 0.8×	237 1.3×	81 0.5×	42 0.4×	53 0.8×	27	574
Takaaki Aoki Japan	11	168 0.5×	142 0.8×	151 0.9×	36 0.4×	42 0.6×	43	411
Nadezhda Semenova Russia	11	415 1.2×	345 1.9×	231 1.4×	103 1.0×	48 0.7×	40	556
Juan A. Almendral Spain	15	414 1.2×	395 2.2×	304 1.9×	83 0.8×	25 0.4×	38	773
David P. Rosin United States	9	224 0.6×	141 0.8×	104 0.7×	75 0.7×	133 2.0×	12	396
Marian Anghel United States	4	391 1.1×	246 1.4×	102 0.6×	92 0.9×	28 0.4×	5	585
Patrycja Jaros Poland	11	395 1.1×	257 1.4×	138 0.9×	130 1.3×	10 0.1×	17	461
Suresh Kumarasamy India	16	415 1.2×	490 2.7×	164 1.0×	20 0.2×	46 0.7×	62	649
Renate Wackerbauer United States	12	185 0.5×	270 1.5×	123 0.8×	21 0.2×	34 0.5×	24	460

Countries citing papers authored by Can Xu

Since Specialization

Citations

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

Fields of papers citing papers by Can Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Xu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jia, Kun, et al.. (2025). Hyperbolic Hierarchy-Aware Prototype Network for On-Orbit Earth Surface Anomaly Detection From Single-Satellite Imagery. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–19.

Zhou, Yucheng, Tao Shen, Xiubo Geng, et al.. (2024). Fine-Grained Distillation for Long Document Retrieval. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19732–19740. 2 indexed citations

Xu, Can, et al.. (2024). Stability of oscillation quenching in coupled oscillator populations with heterogeneous coupling. Physical review. E. 110(6). 64221–64221. 1 indexed citations

Tao, Chongyang, Chang Liu, Tao Shen, et al.. (2024). ADAM: Dense Retrieval Distillation with Adaptive Dark Examples. 11639–11651. 1 indexed citations

Zheng, Zhigang, et al.. (2024). Synchronization transitions in phase oscillator populations with partial adaptive coupling. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(6). 8 indexed citations

Zheng, Zhigang, et al.. (2024). Order parameter dynamics in complex systems: From models to data. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(2). 11 indexed citations

Xu, Can, et al.. (2023). Dynamical origin of the explosive synchronization with partial adaptive coupling. Chaos Solitons & Fractals. 172. 113538–113538. 7 indexed citations

Jin, Xin, Yonggang Wu, Huaping Lü, & Can Xu. (2023). Synchronization dynamics of phase oscillators with generic adaptive coupling. Communications in Theoretical Physics. 75(4). 45601–45601. 2 indexed citations

Zheng, Zhigang, et al.. (2023). Deterministic correlations enhance synchronization in oscillator populations with heterogeneous coupling. Physical review. E. 108(5). 54203–54203. 3 indexed citations

10.

Tao, Chongyang, et al.. (2022). PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. 12052–12066. 10 indexed citations

11.

Skardal, Per Sebastian & Can Xu. (2022). Tiered synchronization in coupled oscillator populations with interaction delays and higher-order interactions. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(5). 53120–53120. 9 indexed citations

12.

Wang, Yufei, Can Xu, Qing‐Feng Sun, et al.. (2022). PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 4242–4255. 41 indexed citations

13.

Xu, Can, et al.. (2022). Partial locking in phase-oscillator populations with heterogenous coupling. Chaos An Interdisciplinary Journal of Nonlinear Science. 32(6). 63106–63106. 3 indexed citations

14.

Zheng, Zhigang, et al.. (2021). Exact dynamics of phase transitions in oscillator populations with nonlinear coupling. Communications in Nonlinear Science and Numerical Simulation. 107. 106129–106129. 8 indexed citations

15.

Lü, Huaping, et al.. (2021). Exact solutions of the abrupt synchronization transitions and extensive multistability in globally coupled phase oscillator populations. Journal of Physics A Mathematical and Theoretical. 54(28). 285702–285702. 5 indexed citations

16.

Zheng, Zhigang, et al.. (2021). Collective dynamics of phase oscillator populations with three-body interactions. Physical review. E. 104(5). 54208–54208. 20 indexed citations

17.

Xu, Can, et al.. (2021). Stability and bifurcation of collective dynamics in phase oscillator populations with general coupling. Physical review. E. 103(3). 32307–32307. 11 indexed citations

18.

Xu, Can, Stefano Boccaletti, Zhigang Zheng, & Shuguang Guan. (2019). Universal phase transitions to synchronization in Kuramoto-like models with heterogeneous coupling. New Journal of Physics. 21(11). 113018–113018. 19 indexed citations

19.

Xu, Can, Jian Gao, Stefano Boccaletti, Zhigang Zheng, & Shuguang Guan. (2019). Synchronization in starlike networks of phase oscillators. Physical review. E. 100(1). 12212–12212. 22 indexed citations

20.

Xu, Can, et al.. (2016). Collective dynamics of identical phase oscillators with high-order coupling. Scientific Reports. 6(1). 31133–31133. 15 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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