Xiaofen Lu

628 citations
21 papers · 452 · h-index 11

Impact in

Papers in

Xiaofen Lu

18 papers receiving 443 citations

Peers

Xiaofen Lu
Comparison fields: 5 of 61
  • Computational Theory and Mathematics 156
  • Artificial Intelligence 260
  • Management Science and Operations Research 76
  • Computer Vision and Pattern Recognition 68
  • Electrical and Electronic Engineering 138
Replace Yongjie Ma with:
Yongjie Ma China
Richard Sutton New Zealand
Adel Got Algeria
Elliackin Figueiredo Brazil
Zhenshou Song China
Hardi M. Mohammed Iraq
Zhe Ding China
Nengxian Liu China
Mohammed R. Saad Egypt
Yuki Tanigaki Japan
Xiaofen Lu relative to Yongjie Ma China Yongjie Ma's profile →
Citations per field
00.5×10×13.8×
Yongjie Ma · 1×
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 2016142
2 201249
3 201446
4 201443
5 201837
6 201129
7 202025
8 200520
9 201918
10 201714
11 202111
12 20145
13 20224
14 20213
15 20142
16 20202
17 20221
18 20241
19 20190
20 20230

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 452 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), Design Education and Practice (2 papers), Advanced Algorithms and Applications (2 papers), Vehicle Routing Optimization Methods (2 papers), Product Development and Customization (2 papers) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Computational Theory and Mathematics (156 citations), Artificial Intelligence (260 citations), Management Science and Operations Research (76 citations), Computer Vision and Pattern Recognition (68 citations) and Electrical and Electronic Engineering (138 citations). Xiaofen Lu has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Ke Tang, Xin Yao, Yaoyao He, Shuo Wang, Haiyan Li, Peng Yang, Bernhard Sendhoff, Chunhui Jiang, Stefan Menzel and Yaonan Wang. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, ACM Transactions on Embedded Computing Systems, Expert Systems with Applications, Swarm and Evolutionary Computation and Neurocomputing.

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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