OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Memory-efficient Transformer-based network model for Traveling Salesman Problem
Hua Yang, MingHao Zhao, Lei Yuan, et al.
Neural Networks (2023) Vol. 161, pp. 589-597
Closed Access | Times Cited: 19

Showing 19 citing articles:

Balanced influence maximization in social networks based on deep reinforcement learning
Shuxin Yang, Quanming Du, Guixiang Zhu, et al.
Neural Networks (2023) Vol. 169, pp. 334-351
Closed Access | Times Cited: 16

A lightweight CNN-transformer model for learning traveling salesman problems
Minseop Jung, Jaeseung Lee, Jibum Kim
Applied Intelligence (2024) Vol. 54, Iss. 17-18, pp. 7982-7993
Open Access | Times Cited: 5

A novel fractional-order memristive Hopfield neural network for traveling salesman problem and its FPGA implementation
Xiangping Li, Xinsong Yang, Xingxing Ju
Neural Networks (2024) Vol. 179, pp. 106548-106548
Closed Access | Times Cited: 4

Multi-ant colony algorithm based on the Stackelberg game and incremental learning
Qihuan Wu, Xiaoming You, Sheng Liu
Soft Computing (2025)
Closed Access

A transformer-based structure-aware model for tackling the traveling salesman problem
Chunsheng Zhao, Li‐Pei Wong
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0319711-e0319711
Open Access

A deep reinforcement learning algorithm framework for solving multi-objective traveling salesman problem based on feature transformation
Shijie Zhao, Shenshen Gu
Neural Networks (2024) Vol. 176, pp. 106359-106359
Closed Access | Times Cited: 3

A hierarchical deep reinforcement learning method for solving urban route planning problems under large-scale customers and real-time traffic conditions
Yuanyuan Li, Qingfeng Guan, Jun Feng Gu, et al.
International Journal of Geographical Information Science (2024), pp. 1-24
Closed Access | Times Cited: 3

An exploration of quantitative models and algorithms for vehicle routing optimization and traveling salesman problems
Oskari Lähdeaho, Olli‐Pekka Hilmola
Supply Chain Analytics (2023) Vol. 5, pp. 100056-100056
Open Access | Times Cited: 6

Towards Interpreting Multi-Objective Feature Associations
Nisha Pillai, Ganga Gireesan, Michael J. Rothrock, et al.
2022 IEEE International Systems Conference (SysCon) (2024) Vol. 18, pp. 1-8
Open Access | Times Cited: 1

A deep reinforcement learning with dynamic spatio-temporal graph model for solving urban logistics delivery planning problems
Yuanyuan Li, Qingfeng Guan, Junfeng Gu, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1

Navigating Intelligence: A Survey of Google OR‐Tools and Machine Learning for Global Path Planning in Autonomous Vehicles
Alexandre Benoit, Pedram Asef
Advanced Intelligent Systems (2024) Vol. 6, Iss. 9
Open Access | Times Cited: 1

On Block g-Circulant Matrices with Discrete Cosine and Sine Transforms for Transformer-Based Translation Machine
Euis Asriani, Intan Muchtadi-Alamsyah, Ayu Purwarianti
Mathematics (2024) Vol. 12, Iss. 11, pp. 1697-1697
Open Access

AllocFormer: A Transformer-based Computation Resource Allocation Approach in Recommender Systems
Feixue Liu, Yuqing Miao, Yun Ye, et al.
2022 7th International Conference on Computer and Communication Systems (ICCCS) (2024), pp. 1244-1251
Closed Access

GTasm: a genome assembly method using graph transformers and HiFi reads
Junwei Luo, Ziheng Zhang, Xinliang Ma, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access

CSformer: Enhancing deep learning efficiency for intelligent IoT
Xu Jia, Han Wu, Ruochen Zhang, et al.
Computer Communications (2023) Vol. 214, pp. 33-45
Closed Access | Times Cited: 1

Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization
Ganga Gireesan, Nisha Pillai, Michael J. Rothrock, et al.
2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2023), pp. 519-525
Open Access | Times Cited: 1

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