Haibo Gu

612 total citations · 1 hit paper
28 papers, 501 citations indexed

About

Haibo Gu is a scholar working on Modeling and Simulation, Applied Mathematics and Computer Networks and Communications. According to data from OpenAlex, Haibo Gu has authored 28 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Modeling and Simulation, 12 papers in Applied Mathematics and 10 papers in Computer Networks and Communications. Recurrent topics in Haibo Gu's work include Fractional Differential Equations Solutions (13 papers), Nonlinear Differential Equations Analysis (12 papers) and Neural Networks Stability and Synchronization (10 papers). Haibo Gu is often cited by papers focused on Fractional Differential Equations Solutions (13 papers), Nonlinear Differential Equations Analysis (12 papers) and Neural Networks Stability and Synchronization (10 papers). Haibo Gu collaborates with scholars based in China, Saudi Arabia and Spain. Haibo Gu's co-authors include Juan J. Trujillo, Haijun Jiang, Zhidong Teng, Zhidong Teng, Haijun Jiang, Yu Sun, Min Yang, Qian Wang, Xingru Chen and Yong Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Neurocomputing.

In The Last Decade

Haibo Gu

25 papers receiving 473 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Existence of mild solution for evolution equation with Hilfer fractional derivative

2014 274 citations Haibo Gu, Juan J. Trujillo Applied Mathematics and Computation profile →

Peers

Haibo Gu

AM

MS

CNC

CSE

NA

Wengui Yang China

Lassaad Mchiri Saudi Arabia

A‎. ‎Vinodkumar India

N. Sakthivel India

Hoang The Tuan Vietnam

Valentina Taddei Italy

Taki-Eddine Oussaeif Algeria

Vipin Kumar India

Kuo‐Shou Chiu Chile

Anatoli F. Ivanov United States

Wengui Yang China

Haibo Gu

419 ×1.3

AM

317 ×1.1

MS

229 ×1.4

CNC

120 ×1.1

CSE

201 ×2.2

NA

Citations per year, relative to Haibo Gu Haibo Gu (= 1×) peers Wengui Yang

Countries citing papers authored by Haibo Gu

Since Specialization

Citations

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

Fields of papers citing papers by Haibo Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibo Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Haibo Gu. A scholar is included among the top collaborators of Haibo Gu 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 Haibo Gu. Haibo Gu 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

1.

Tao, Li, et al.. (2024). A Guided Hybrid A*-Based Path Planning Method for Autonomous Driving. 1729–1732.

2.

Hua, Dong, et al.. (2024). Path Planning for Autonomous Vehicles Based on Improved Artificial Potential Field. 1733–1736.

3.

Wang, Chengfeng, et al.. (2024). ESMDNN-PPI: a new protein–protein interaction prediction model developed with protein language model of ESM2 and deep neural network. Measurement Science and Technology. 35(12). 125701–125701. 1 indexed citations

4.

Gu, Haibo, et al.. (2023). Nonlocal Problems for Hilfer Fractional q-Difference Equations. Fractal and Fractional. 7(2). 101–101. 1 indexed citations

5.

Gu, Haibo, et al.. (2022). Existence and stability of solutions for coupled fractional delay q-difference systems. Journal of Nonlinear Functional Analysis. 2022(1). 1 indexed citations

6.

Gu, Haibo, et al.. (2022). The averaging principle for Hilfer fractional stochastic differential equations driven by time-changed Lévy noise. Journal of Nonlinear Functional Analysis. 2022(1).

7.

Gu, Haibo, et al.. (2022). A narrative inquiry into the agency of an EFL teacher in Western China. Frontiers in Psychology. 13. 957372–957372. 10 indexed citations

8.

Gu, Haibo, et al.. (2022). BVP for Hadamard Sequential Fractional Hybrid Differential Inclusions. Journal of Function Spaces. 2022. 1–27. 3 indexed citations

9.

Sun, Yu, Haibo Gu, Yanhui Zhang, Xingru Chen, & Xingzhao Wang. (2018). Optimal controls for a class of impulsive fractional differential equations with nonlocal conditions. Advances in Difference Equations. 2018(1). 1 indexed citations

10.

Gu, Haibo, Yong Zhou, Bashir Ahmad, & Ahmed Alsaedi. (2017). Integral solutions of fractional evolution equations with nondense domain. SHILAP Revista de lepidopterología. 8 indexed citations

11.

Gu, Haibo & Juan J. Trujillo. (2014). Existence of mild solution for evolution equation with Hilfer fractional derivative. Applied Mathematics and Computation. 257. 344–354. 274 indexed citations breakdown →

12.

Gu, Haibo, et al.. (2014). Complete Controllability for Fractional Evolution Equations. Abstract and Applied Analysis. 2014. 1–8. 1 indexed citations

13.

Gu, Haibo. (2011). High order compact scheme combined with extrapolation technique for solving convection-diffusion equations. Journal of Shandong University. 3 indexed citations

14.

Gu, Haibo, Haijun Jiang, & Zhidong Teng. (2011). PERIODICITY AND STABILITY IN RECURRENT CELLULAR NEURAL NETWORKS WITH IMPULSIVE EFFECTS. International Journal of Biomathematics. 4(4). 399–422. 1 indexed citations

15.

Gu, Haibo, Haijun Jiang, & Zhidong Teng. (2010). On the Dynamics in High-Order Cellular Neural Networks with Time-Varying Delays. Differential Equations and Dynamical Systems. 19(1-2). 119–132. 3 indexed citations

16.

Gu, Haibo. (2010). Mean square exponential stability in high-order stochastic impulsive BAM neural networks with time-varying delays. Neurocomputing. 74(5). 720–729. 13 indexed citations

17.

Gu, Haibo, Haijun Jiang, & Zhidong Teng. (2008). BAM-type impulsive neural networks with time-varying delays. Nonlinear Analysis Real World Applications. 10(5). 3059–3072. 13 indexed citations

18.

Gu, Haibo, Haijun Jiang, & Zhidong Teng. (2008). Mean square exponential stability in high-order stochastic impulsive neural networks with time-varying delays. Journal of Applied Mathematics and Computing. 30(1-2). 151–170. 3 indexed citations

19.

Gu, Haibo, Haijun Jiang, & Zhidong Teng. (2007). Stability and periodicity in high-order neural networks with impulsive effects. Nonlinear Analysis. 68(10). 3186–3200. 21 indexed citations

20.

Gu, Haibo, Haijun Jiang, & Zhidong Teng. (2007). Existence and globally exponential stability of periodic solution of BAM neural networks with impulses and recent-history distributed delays. Neurocomputing. 71(4-6). 813–822. 25 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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