Shenshen Gu

415 total citations
39 papers, 218 citations indexed

About

Shenshen Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering. According to data from OpenAlex, Shenshen Gu has authored 39 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in Shenshen Gu's work include Optimization and Packing Problems (6 papers), Neural Networks and Applications (6 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Shenshen Gu is often cited by papers focused on Optimization and Packing Problems (6 papers), Neural Networks and Applications (6 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Shenshen Gu collaborates with scholars based in China, Hong Kong and Australia. Shenshen Gu's co-authors include Lu Ding, Yue Yang, Yang Yue, Rui Cui, Wei Zeng, Xin Wang, Jun Wang, Jun Cheng, Wei Zeng and Zaiwang Gu and has published in prestigious journals such as Automatica, IEEE Access and Neurocomputing.

In The Last Decade

Shenshen Gu

30 papers receiving 211 citations

Peers

Shenshen Gu

CVPR

AI

EEE

IME

CNC

Adnane Cabani France

Ruo-Bin Wang China

Chuntao Ding China

Hossein Hajimirsadeghi Iran

Nibedan Panda India

Adrián González Mexico

Aysha Naseer Pakistan

Hui Kang China

Pei-Cheng Song China

Joachim Gerlach Germany

Adnane Cabani France

Shenshen Gu

37 ×0.5

CVPR

38 ×0.7

AI

138 ×2.9

EEE

18 ×0.5

IME

66 ×1.9

CNC

Citations per year, relative to Shenshen Gu Shenshen Gu (= 1×) peers Adnane Cabani

Countries citing papers authored by Shenshen Gu

Since Specialization

Citations

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

Fields of papers citing papers by Shenshen Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenshen Gu

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

All Works

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20 of 20 papers shown

1.

Gu, Shenshen, et al.. (2025). Optimizing the multi-objective traveling salesman problem with a deep reinforcement learning algorithm using cross fusion attention networks. Neural Networks. 192. 107904–107904.

2.

Gu, Shenshen, et al.. (2024). An FPGA-based Convolutional Neural Network Accelerator for Edge Computing. 211–216.

3.

Gu, Shenshen, et al.. (2024). Deep Reinforcement Learning Algorithm Based on Graph Weight Multi-Pointer Network for Solving Multiobjective Traveling Salesman Problem. IEEE Access. 12. 179091–179103.

4.

Gu, Shenshen, et al.. (2024). A deep reinforcement learning algorithm framework for solving multi-objective traveling salesman problem based on feature transformation. Neural Networks. 176. 106359–106359. 6 indexed citations

5.

Gu, Shenshen, et al.. (2024). A neural network algorithm framework based on graph structure for general combinatorial optimization. Neurocomputing. 587. 127670–127670. 3 indexed citations

6.

Gu, Shenshen, et al.. (2023). Viscosity Measurement System Based On FreeRTOS Embedded Operating System. 3906–3911.

7.

Gu, Shenshen, et al.. (2021). FPGA Implementation of Object Detection Accelerator Based on Vitis-AI. 571–577. 32 indexed citations

8.

Gu, Shenshen, et al.. (2020). The Basic Algorithm for the Constrained Zero-One Quadratic Programming Problem with k-diagonal Matrix and Its Application in the Power System. Mathematics. 8(1). 138–138. 2 indexed citations

9.

Zhao, Yitian, Bang Chen, Yuhui Ma, et al.. (2020). Deep Learning with Skip Connection Attention for Choroid Layer Segmentation in OCT Images. PubMed. 2020. 1641–1645. 13 indexed citations

10.

Gu, Shenshen, et al.. (2019). Intelligent Tennis Robot Based on a Deep Neural Network. Applied Sciences. 9(18). 3746–3746. 4 indexed citations

11.

Gu, Shenshen, et al.. (2019). Global Optimization of Binary Quadratic Programming: A Neural Network Based Algorithm and Its FPGA Implementation. Neural Processing Letters. 53(3). 1665–1684. 1 indexed citations

12.

Gu, Shenshen, et al.. (2018). A Deep Learning Tennis Ball Collection Robot and the Implementation on NVIDIA Jetson TX1 Board. 170–175. 20 indexed citations

13.

Gu, Shenshen, et al.. (2017). A new deep learning method based on AlexNet model and SSD model for tennis ball recognition. 159–164. 36 indexed citations

14.

Gu, Shenshen & Hao Jiang. (2014). Research on calibration methods for nonlinear effects in electromagnetic force equilibrium sensor (ICCAS 2014). 22. 572–577. 1 indexed citations

15.

Gu, Shenshen, et al.. (2013). The research and design of high-precision strain type electronic balance. 33. 1451–1455.

16.

Gu, Shenshen, et al.. (2011). The Design and Implementation of a Novel Process Viscosity Control Platform Based on Labview. INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences. 3(9). 1–8. 2 indexed citations

17.

Gu, Shenshen. (2010). Polynomial time solvable algorithms to binary quadratic programming problems with Q being a tri-diagonal or five-diagonal matrix. 39. 1–5. 2 indexed citations

18.

Li, Duan, Xiaoling Sun, Jianjun Gao, Shenshen Gu, & Xiaojin Zheng. (2009). A Novel Method for Reachability Determination in Petri Nets. IFAC Proceedings Volumes. 42(4). 276–281.

19.

Gu, Shenshen, et al.. (2005). A chaotic neural network for the attributed relational graph matching problem in pattern recognition. 52. 695–698.

20.

Gu, Shenshen, et al.. (2004). A chaotic neural network for the graph coloring problem in VLSI channel routing. 1094–1098. 3 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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