Yaoxin Wu

1.3k citations
49 papers · 673 · 1 hit paper · h-index 15

Impact in

Papers in

Yaoxin Wu

39 papers receiving 656 citations

Yaoxin Wu's Hit Papers

Learning Improvement Heuristics for Solving Routing Problems 2021 · 221 citations
2210+1+3Years since publication50100150200

Peers

Yaoxin Wu
Comparison fields: 5 of 72
  • Industrial and Manufacturing Engineering 289
  • Automotive Engineering 94
  • Building and Construction 64
  • Artificial Intelligence 150
  • Transportation 29
Replace Omid Shahvari with:
Omid Shahvari United States
Andy Ham United States
Faiza Qayyum South Korea
Chao-Bo Yan China
Şener Akpınar Türkiye
Wei Dong China
Kunlei Lian China
Kaipu Wang China
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Citations per field
00.5×2×4×6×8×9.4×
Omid Shahvari · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Yaoxin Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yaoxin Wu Line = papers co-authored together Yaoxin Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning Improvement Heuristics for Solving Routing Problems
Hit paper breakdown →
2021221
2 202248
3 202342
4 202438
5 202237
6 202332
7 202424
8 202321
9 202419
10 202319
11 202418
12 202218
13 202517
14 202416
15 201816
16 202511
17 202410
18 20179
19 20248
20 20237

About Yaoxin Wu

Yaoxin Wu is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering, Artificial Intelligence, Building and Construction and Transportation, having authored 49 papers that have together received 673 indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (14 papers), Metaheuristic Optimization Algorithms Research (6 papers), Transportation and Mobility Innovations (5 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Assembly Line Balancing Optimization (4 papers), Scheduling and Optimization Algorithms (4 papers), Data Management and Algorithms (4 papers) and Transportation Planning and Optimization (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (289 citations), Automotive Engineering (94 citations), Building and Construction (64 citations), Artificial Intelligence (150 citations) and Transportation (29 citations). Yaoxin Wu has collaborated with scholars based in China, Netherlands and Singapore. Frequent co-authors include Zhiguang Cao, Wen Wu Song, Jie Zhang, Andrew E. B. Lim, Guohua Wu, Yining Ma, Hongwei Ding, Cong Zhang, Le Zhang and Xiaohui Cui. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Chemical Engineering Journal, Transportation Research Part C Emerging Technologies, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Systems Man and Cybernetics Systems.

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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