Xiaofen Lu

618 citations
21 papers · 445 · h-index 11

Impact in

Papers in

Xiaofen Lu

18 papers receiving 434 citations

Peers

Xiaofen Lu
Comparison fields: 5 of 61
  • Computational Theory and Mathematics 155
  • Artificial Intelligence 257
  • Management Science and Operations Research 76
  • Computer Vision and Pattern Recognition 66
  • Electrical and Electronic Engineering 137
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Richard Sutton New Zealand
Elliackin Figueiredo Brazil
Zhenshou Song China
Zhe Ding China
Hardi M. Mohammed Iraq
Nengxian Liu China
Zhou Jian-hua China
Mosa E. Hosney Egypt
Chaodong Fan China
Yuki Tanigaki Japan
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Citations per field
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Citations per year

Countries citing papers authored by Xiaofen Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofen Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Xiaofen Lu, 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 Xiaofen Lu Line = papers co-authored together Xiaofen Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016141
2 201247
3 201445
4 201443
5 201837
6 201129
7 202024
8 200520
9 201918
10 201714
11 202111
12 20145
13 20223
14 20202
15 20212
16 20142
17 20241
18 20221
19 20230
20 20190

About Xiaofen Lu

Xiaofen Lu is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 21 papers that have together received 445 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Evolutionary Algorithms and Applications (8 papers), Vehicle Routing Optimization Methods (2 papers), Design Education and Practice (2 papers), Advanced Algorithms and Applications (2 papers), Product Development and Customization (2 papers) and Optimization and Packing Problems (1 paper). The work is most often cited by research in Computational Theory and Mathematics (155 citations), Artificial Intelligence (257 citations), Management Science and Operations Research (76 citations), Computer Vision and Pattern Recognition (66 citations) and Electrical and Electronic Engineering (137 citations). Xiaofen Lu has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Ke Tang, Xin Yao, Shuo Wang, Haiyan Li, Yaoyao He, Peng Yang, Bernhard Sendhoff, Huanjun Liu, Stefan Menzel and Chunhui Jiang. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Neurocomputing, ACM Transactions on Embedded Computing Systems, Applied Energy and International Journal of Bio-Inspired Computation.

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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