Gang-Zhou Wu

867 total citations · 1 hit paper
21 papers, 722 citations indexed

About

Gang-Zhou Wu is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Gang-Zhou Wu has authored 21 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistical and Nonlinear Physics, 14 papers in Atomic and Molecular Physics, and Optics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Gang-Zhou Wu's work include Advanced Fiber Laser Technologies (10 papers), Nonlinear Photonic Systems (9 papers) and Nonlinear Waves and Solitons (7 papers). Gang-Zhou Wu is often cited by papers focused on Advanced Fiber Laser Technologies (10 papers), Nonlinear Photonic Systems (9 papers) and Nonlinear Waves and Solitons (7 papers). Gang-Zhou Wu collaborates with scholars based in China, Italy and France. Gang-Zhou Wu's co-authors include Chao‐Qing Dai, Yue‐Yue Wang, Yin Fang, Nikolay A. Kudryashov, Wei Liu, Guo–Cheng Wu, Yixiang Chen, Hui‐jun Li, Shihua Chen and Chong Hou and has published in prestigious journals such as Physical Review Letters, Optics Express and Physical review. B..

In The Last Decade

Gang-Zhou Wu

20 papers receiving 692 citations

Hit Papers

Data-driven femtosecond optical soliton excitations and p... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang-Zhou Wu China 12 634 331 150 85 73 21 722
Juncai Pu China 11 465 0.7× 131 0.4× 86 0.6× 42 0.5× 120 1.6× 15 507
Zhi‐Yong Zhang China 12 332 0.5× 56 0.2× 203 1.4× 40 0.5× 38 0.5× 58 457
Emad A. Az-Zo’bi Jordan 22 611 1.0× 168 0.5× 380 2.5× 40 0.5× 123 1.7× 72 957
Chong-Dong Cheng China 14 511 0.8× 73 0.2× 119 0.8× 25 0.3× 37 0.5× 23 594
Naeem Ullah Pakistan 10 183 0.3× 104 0.3× 84 0.6× 26 0.3× 57 0.8× 46 348
Jian‐Guo Liu China 17 817 1.3× 159 0.5× 339 2.3× 51 0.6× 25 0.3× 37 910
Nadia Cheemaa China 14 938 1.5× 359 1.1× 369 2.5× 49 0.6× 38 0.5× 22 1.0k
Theodoros P. Horikis Greece 15 435 0.7× 419 1.3× 14 0.1× 107 1.3× 25 0.3× 67 656

Countries citing papers authored by Gang-Zhou Wu

Since Specialization
Citations

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

Fields of papers citing papers by Gang-Zhou Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gang-Zhou Wu. 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 Gang-Zhou Wu. The network helps show where Gang-Zhou Wu may publish in the future.

Co-authorship network of co-authors of Gang-Zhou Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Gang-Zhou Wu. A scholar is included among the top collaborators of Gang-Zhou Wu 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 Gang-Zhou Wu. Gang-Zhou Wu 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.
Wu, Gang-Zhou, Lingfang Li, Shihua Chen, et al.. (2025). Ultraflat Soliton Microcombs in Driven Quadratic-Kerr Nonlinear Microresonators. Physical Review Letters. 135(11). 113801–113801.
2.
Li, Lingfang, Gang-Zhou Wu, Yang Ruan, et al.. (2025). Exact solutions disentangle higher-order topology in two-dimensional non-Hermitian lattices. Physical review. B.. 111(7). 6 indexed citations
3.
Wu, Gang-Zhou, et al.. (2024). Soliton resonant radiation in phase-matched second-harmonic generation. Physical review. A. 109(1). 4 indexed citations
4.
Li, Lingfang, Chong Hou, Gang-Zhou Wu, et al.. (2024). Dual bulk-boundary correspondence in a nonreciprocal spin-orbit coupled zigzag lattice. Physical review. B.. 110(4). 4 indexed citations
5.
Hou, Chong, et al.. (2024). Non-Hermitian skin effects in two- and three-dimensional intertwined tight-binding lattices. Physical review. B.. 109(20). 3 indexed citations
6.
Wu, Gang-Zhou, et al.. (2024). Akhmediev Breathers and Kuznetsov–Ma Solitons in the Cubic-Quintic Nonlinear Schrödinger Equation. IEEE photonics journal. 16(5). 1–7. 1 indexed citations
7.
Wu, Gang-Zhou, Chong Hou, Shihua Chen, et al.. (2024). Diverse interlocked switching waves in cavity-enhanced second-harmonic generation. Optics Express. 32(26). 45436–45436. 1 indexed citations
8.
Hou, Chong, Lingfang Li, Gang-Zhou Wu, et al.. (2023). Topological edge states in one-dimensional non-Hermitian Su-Schrieffer-Heeger systems of finite lattice size: Analytical solutions and exceptional points. Physical review. B.. 108(8). 11 indexed citations
9.
Wu, Gang-Zhou, Yin Fang, Nikolay A. Kudryashov, Yue‐Yue Wang, & Chao‐Qing Dai. (2022). Prediction of optical solitons using an improved physics-informed neural network method with the conservation law constraint. Chaos Solitons & Fractals. 159. 112143–112143. 42 indexed citations
10.
Wu, Gang-Zhou, et al.. (2022). Dynamics of diverse data-driven solitons for the three-component coupled nonlinear Schrödinger model by the MPS-PINN method. Nonlinear Dynamics. 109(4). 3041–3050. 59 indexed citations
11.
Fang, Yin, Gang-Zhou Wu, Nikolay A. Kudryashov, Yue‐Yue Wang, & Chao‐Qing Dai. (2022). Data-driven soliton solutions and model parameters of nonlinear wave models via the conservation-law constrained neural network method. Chaos Solitons & Fractals. 158. 112118–112118. 45 indexed citations
13.
Wu, Gang-Zhou, Chao‐Qing Dai, Yue‐Yue Wang, & Yixiang Chen. (2021). Propagation and interaction between special fractional soliton and soliton molecules in the inhomogeneous fiber. Journal of Advanced Research. 36. 63–71. 15 indexed citations
14.
Dai, Chao‐Qing, Gang-Zhou Wu, Hui‐jun Li, & Yue‐Yue Wang. (2021). WICK-TYPE STOCHASTIC FRACTIONAL SOLITONS SUPPORTED BY QUADRATIC-CUBIC NONLINEARITY. Fractals. 29(7). 21 indexed citations
15.
Wu, Gang-Zhou, Yin Fang, Yue‐Yue Wang, Guo–Cheng Wu, & Chao‐Qing Dai. (2021). Predicting the dynamic process and model parameters of the vector optical solitons in birefringent fibers via the modified PINN. Chaos Solitons & Fractals. 152. 111393–111393. 68 indexed citations
16.
Fang, Yin, Gang-Zhou Wu, Yue‐Yue Wang, & Chao‐Qing Dai. (2021). Data-driven femtosecond optical soliton excitations and parameters discovery of the high-order NLSE using the PINN. Nonlinear Dynamics. 105(1). 603–616. 186 indexed citations breakdown →
17.
Wu, Gang-Zhou, et al.. (2020). Traveling wave solutions constructed by Mittag–Leffler function of a (2 + 1)-dimensional space-time fractional NLS equation. Results in Physics. 17. 103156–103156. 35 indexed citations
18.
Wu, Gang-Zhou, et al.. (2020). Fractional optical solitons of the space-time fractional nonlinear Schrödinger equation. Optik. 207. 164405–164405. 66 indexed citations
19.
Wu, Gang-Zhou & Chao‐Qing Dai. (2020). Nonautonomous soliton solutions of variable-coefficient fractional nonlinear Schrödinger equation. Applied Mathematics Letters. 106. 106365–106365. 66 indexed citations
20.
Wang, Haiquan, Zesheng Li, Li Ma, et al.. (2019). Prediction of CADI Chemical Composition and Heat Treatment Parameters using a BPNN Optimized with the Genetic Algorithm. IOP Conference Series Earth and Environmental Science. 233. 52022–52022. 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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