Yaoxin Wu

949 total citations · 1 hit paper
37 papers, 492 citations indexed

About

Yaoxin Wu is a scholar working on Industrial and Manufacturing Engineering, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yaoxin Wu has authored 37 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Industrial and Manufacturing Engineering, 8 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Yaoxin Wu's work include Vehicle Routing Optimization Methods (12 papers), Transportation and Mobility Innovations (4 papers) and Scheduling and Optimization Algorithms (4 papers). Yaoxin Wu is often cited by papers focused on Vehicle Routing Optimization Methods (12 papers), Transportation and Mobility Innovations (4 papers) and Scheduling and Optimization Algorithms (4 papers). Yaoxin Wu collaborates with scholars based in China, Singapore and Netherlands. Yaoxin Wu's co-authors include Zhiguang Cao, Wen Song, Jie Zhang, Andrew Lim, Guohua Wu, Le Zhang, Yining Ma, Guillaume Sartoretti, Mingfeng Fan and Zhenghua Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Chemical Engineering Science.

In The Last Decade

Yaoxin Wu

28 papers receiving 469 citations

Hit Papers

Learning Improvement Heuristics for Solving Routing Problems 2021 2026 2022 2024 2021 50 100 150
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.

  1. Learning Improvement Heuristics for Solving Routing Problems
    2021 184 citations Yaoxin Wu, Wen Song et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaoxin Wu China 12 240 129 81 73 63 37 492
Omid Shahvari United States 11 315 1.3× 26 0.2× 99 1.2× 110 1.5× 50 0.8× 13 501
Anup Kumar United States 14 314 1.3× 39 0.3× 30 0.4× 30 0.4× 51 0.8× 21 691
Şener Akpınar Türkiye 11 498 2.1× 205 1.6× 53 0.7× 30 0.4× 39 0.6× 23 758
Xiaoxia Li China 7 121 0.5× 55 0.4× 28 0.3× 23 0.3× 41 0.7× 29 325
Andy Ham United States 13 619 2.6× 22 0.2× 119 1.5× 36 0.5× 69 1.1× 24 713
Buyun Sheng China 11 200 0.8× 40 0.3× 23 0.3× 34 0.5× 37 0.6× 70 408
Levent Kandiller Türkiye 13 494 2.1× 71 0.6× 25 0.3× 16 0.2× 54 0.9× 26 583
Lenz Belzner Germany 7 444 1.9× 112 0.9× 29 0.4× 32 0.4× 72 1.1× 29 620
Zhi-xin Zheng China 6 317 1.3× 91 0.7× 11 0.1× 49 0.7× 37 0.6× 9 455

Countries citing papers authored by Yaoxin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yaoxin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoxin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yaoxin Wu. A scholar is included among the top collaborators of Yaoxin 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 Yaoxin Wu. Yaoxin 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.
Yang, Qian, Yaoxin Wu, Yuxiang Li, et al.. (2025). A plasma-triggered N–Co–O–Fe motif in Co(OH)2 for efficient electrocatalytic oxygen evolution. EES Catalysis. 3(3). 407–419. 6 indexed citations
2.
Huang, Shunmou, Yaoxin Wu, Zhiguang Cao, & Xuexi Zhang. (2025). A deep reinforcement learning method for solving Two-Echelon Location-Routing Problem. Computers & Operations Research. 183. 107210–107210.
3.
Ding, Hongwei, et al.. (2025). Improving Infrared Small Target Detection With GAN-Driven Data Augmentation. IEEE Transactions on Multimedia. 27. 9516–9531. 1 indexed citations
4.
Cao, Zhiguang, et al.. (2025). Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning. 683–694. 1 indexed citations
5.
Wu, Yaoxin, et al.. (2025). Benders decomposition for traveling salesman problem with drone: A space-time-state network perspective. Transportation Research Part C Emerging Technologies. 179. 105255–105255.
6.
Ding, Hongwei, et al.. (2025). Improving imbalanced medical image classification through GAN-based data augmentation methods. Pattern Recognition. 166. 111680–111680.
7.
Wu, Yaoxin, et al.. (2025). Optimizing matching radius for ride-hailing systems with dual-replay-buffer deep reinforcement learning. Computers & Industrial Engineering. 208. 111296–111296.
8.
Ding, Hongwei, et al.. (2024). Infrared Small Target Detection Improvement via Hybrid Data Augmentation Using Diffusion Models and GAN. IEEE Transactions on Aerospace and Electronic Systems. 61(2). 3031–3045. 1 indexed citations
9.
Dai, Bing Tian, et al.. (2024). Multi-Type Attention for Solving Multi-Depot Vehicle Routing Problems. IEEE Transactions on Intelligent Transportation Systems. 25(11). 17831–17840. 4 indexed citations
10.
Fan, Mingfeng, Yaoxin Wu, Zhiguang Cao, et al.. (2024). Conditional Neural Heuristic for Multiobjective Vehicle Routing Problems. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4677–4689. 4 indexed citations
11.
Cao, Zhiguang, et al.. (2024). Deep Reinforcement Learning for Solving Vehicle Routing Problems With Backhauls. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4779–4793. 21 indexed citations
12.
Ding, Hongwei, et al.. (2024). LEGAN: Addressing Intraclass Imbalance in GAN-Based Medical Image Augmentation for Improved Imbalanced Data Classification. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 14 indexed citations
13.
Zhang, Hongxiang, Gongyuan Lu, Yingqian Zhang, Andrea D’Ariano, & Yaoxin Wu. (2024). Railcar itinerary optimization in railway marshalling yards: A graph neural network based deep reinforcement learning method. Transportation Research Part C Emerging Technologies. 171. 104970–104970. 3 indexed citations
14.
Wu, Yaoxin, Qian Yang, Ke Lü, et al.. (2024). Mo, N co-doped cobalt hydroxide nanosheets for highly selective methanol-to-formate electrocatalytic conversion. Chemical Engineering Journal. 488. 151087–151087. 10 indexed citations
15.
Fu, Yaping, et al.. (2024). A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity. SHILAP Revista de lepidopterología. 4(2). 184–209. 11 indexed citations
16.
Li, Jingwen, Yining Ma, Zhiguang Cao, et al.. (2023). Learning Feature Embedding Refiner for Solving Vehicle Routing Problems. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 15279–15291. 15 indexed citations
17.
Fan, Mingfeng, Yaoxin Wu, Tianjun Liao, et al.. (2022). Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations. IEEE Transactions on Vehicular Technology. 72(5). 5732–5746. 28 indexed citations
18.
Wu, Yaoxin, Wen Song, Zhiguang Cao, Jie Zhang, & Andrew Lim. (2021). Learning Improvement Heuristics for Solving Routing Problems. IEEE Transactions on Neural Networks and Learning Systems. 33(9). 5057–5069. 184 indexed citations breakdown →
19.
Wu, Yaoxin, Wen Song, Zhiguang Cao, Jie Zhang, & Andrew Lim. (2019). Learning Improvement Heuristics for Solving the Travelling Salesman Problem. arXiv (Cornell University). 11 indexed citations
20.
Cao, Zhiguang, Yaoxin Wu, A.C. Rao, et al.. (2018). An Accurate Solution to the Cardinality-Based Punctuality Problem. IEEE Intelligent Transportation Systems Magazine. 12(4). 78–91. 15 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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