Huawei Fan

752 total citations
27 papers, 522 citations indexed

About

Huawei Fan is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Huawei Fan has authored 27 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 18 papers in Statistical and Nonlinear Physics and 11 papers in Artificial Intelligence. Recurrent topics in Huawei Fan's work include Nonlinear Dynamics and Pattern Formation (19 papers), Neural Networks and Reservoir Computing (11 papers) and Neural Networks Stability and Synchronization (9 papers). Huawei Fan is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (19 papers), Neural Networks and Reservoir Computing (11 papers) and Neural Networks Stability and Synchronization (9 papers). Huawei Fan collaborates with scholars based in China, United States and United Kingdom. Huawei Fan's co-authors include Ying‐Cheng Lai, Xingang Wang, Ling-Wei Kong, Celso Grebogi, Chun Zhang, Junjie Jiang, Liang Wang, Weijie Lin, Yafeng Wang and Jinghua Xiao and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Physical review. B..

In The Last Decade

Huawei Fan

26 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huawei Fan China 13 280 242 212 158 79 27 522
Tongfeng Weng China 11 166 0.6× 187 0.8× 126 0.6× 86 0.5× 37 0.5× 41 406
Ling-Wei Kong United States 12 241 0.9× 151 0.6× 123 0.6× 98 0.6× 86 1.1× 17 400
Masanobu Inubushi Japan 11 371 1.3× 132 0.5× 111 0.5× 77 0.5× 329 4.2× 25 551
Suresh Kumarasamy India 16 46 0.2× 490 2.0× 415 2.0× 164 1.0× 81 1.0× 62 649
Ying-Cheng Lai United States 9 73 0.3× 373 1.5× 242 1.1× 121 0.8× 26 0.3× 9 576
Thomas Jüngling Australia 12 146 0.5× 222 0.9× 294 1.4× 76 0.5× 105 1.3× 27 409
Manuel Samuelides France 12 157 0.6× 178 0.7× 68 0.3× 242 1.5× 117 1.5× 38 483
Masaharu Adachi Japan 8 284 1.0× 217 0.9× 90 0.4× 202 1.3× 71 0.9× 33 451
Oleg V. Maslennikov Russia 11 90 0.3× 158 0.7× 160 0.8× 188 1.2× 67 0.8× 46 343
Shawn D. Pethel United States 12 81 0.3× 388 1.6× 258 1.2× 77 0.5× 44 0.6× 34 570

Countries citing papers authored by Huawei Fan

Since Specialization
Citations

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

Fields of papers citing papers by Huawei Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huawei Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Huawei Fan. A scholar is included among the top collaborators of Huawei Fan 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 Huawei Fan. Huawei Fan 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.
Fan, Huawei, et al.. (2025). Explosive growth of bistability in a cavity magnonic system. Physical review. B.. 111(18). 1 indexed citations
2.
Du, Yao, Qing Li, Huawei Fan, et al.. (2024). Inferring attracting basins of power system with machine learning. Physical Review Research. 6(1). 10 indexed citations
3.
Fan, Huawei, et al.. (2024). State transfer in a nonlinear cavity magnonic system. Physical review. B.. 109(18). 1 indexed citations
4.
Fan, Huawei, et al.. (2024). Folding State within a Hysteresis Loop: Hidden Multistability in Nonlinear Physical Systems. Physical Review Letters. 132(13). 137201–137201. 14 indexed citations
5.
Wang, Liang, et al.. (2023). Breathing cluster in complex neuron–astrocyte networks. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(11). 5 indexed citations
6.
Wang, Liang, Huawei Fan, Yafeng Wang, et al.. (2023). Inferring synchronizability of networked heterogeneous oscillators with machine learning. Physical review. E. 107(2). 24314–24314. 4 indexed citations
7.
Fan, Huawei, Ya Wang, & Xingang Wang. (2023). Eigenvector-based analysis of cluster synchronization in general complex networks of coupled chaotic oscillators. Frontiers of Physics. 18(4). 7 indexed citations
8.
Wang, Liang, Huawei Fan, Jinghua Xiao, Yueheng Lan, & Xingang Wang. (2022). Criticality in reservoir computer of coupled phase oscillators. Physical review. E. 105(5). L052201–L052201. 15 indexed citations
9.
Fan, Huawei, Ling-Wei Kong, Ying‐Cheng Lai, & Xingang Wang. (2021). Anticipating synchronization with machine learning. Physical Review Research. 3(2). 54 indexed citations
10.
Kong, Ling-Wei, Huawei Fan, Celso Grebogi, & Ying‐Cheng Lai. (2021). Emergence of transient chaos and intermittency in machine learning. Journal of Physics Complexity. 2(3). 35014–35014. 28 indexed citations
11.
Kong, Ling-Wei, Huawei Fan, Celso Grebogi, & Ying‐Cheng Lai. (2021). Machine learning prediction of critical transition and system collapse. Physical Review Research. 3(1). 93 indexed citations
12.
Zhang, Han, Huawei Fan, Liang Wang, & Xingang Wang. (2021). Learning Hamiltonian dynamics with reservoir computing. Physical review. E. 104(2). 24205–24205. 24 indexed citations
13.
Fan, Huawei, Junjie Jiang, Chun Zhang, Xingang Wang, & Ying‐Cheng Lai. (2020). Long-term prediction of chaotic systems with machine learning. Physical Review Research. 2(1). 124 indexed citations
14.
Fan, Huawei, Ling-Wei Kong, Xingang Wang, Alan Hastings, & Ying‐Cheng Lai. (2020). Synchronization within synchronization: transients and intermittency in ecological networks. National Science Review. 8(10). nwaa269–nwaa269. 12 indexed citations
15.
Fan, Huawei, Yafeng Wang, Kai Yang, & Xingang Wang. (2019). Enhancing network synchronizability by strengthening a single node. Physical review. E. 99(4). 42305–42305. 5 indexed citations
16.
Fan, Huawei, Yafeng Wang, Hengtong Wang, Ying‐Cheng Lai, & Xingang Wang. (2018). Autapses promote synchronization in neuronal networks. Scientific Reports. 8(1). 580–580. 23 indexed citations
17.
Fan, Huawei, Ying‐Cheng Lai, & Xingang Wang. (2018). Enhancing network synchronization by phase modulation. Physical review. E. 98(1). 12212–12212. 12 indexed citations
18.
Wang, Yafeng, Huawei Fan, Weijie Lin, Ying‐Cheng Lai, & Xingang Wang. (2016). Growth, collapse and self-organized criticality in complex networks. Scientific Reports. 6(1). 24445–24445. 10 indexed citations
19.
Lin, Weijie, et al.. (2016). Controlling synchronous patterns in complex networks. Physical review. E. 93(4). 42209–42209. 26 indexed citations
20.
Fan, Huawei, et al.. (2016). Chaos synchronization with dual-channel time-delayed couplings. Science China Technological Sciences. 59(3). 428–435. 6 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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