Xiaolan Wang

106 papers receiving 1.4k citations

Peers

Xiaolan Wang
Comparison fields: 5 of 106
  • Statistics, Probability and Uncertainty 268
  • Automotive Engineering 240
  • Mechanics of Materials 428
  • Signal Processing 164
  • Civil and Structural Engineering 279
Replace Tian Ran Lin with:
Tian Ran Lin China
Hesheng Tang China
Konstantinos Gryllias Belgium
Jongsoo Lee South Korea
Zhong Luo China
Antoine Tahan Canada
Zhijian Wang China
M. Salman Leong Malaysia
Zhipeng Feng China
Xiaolan Wang relative to Tian Ran Lin China Tian Ran Lin's profile →
Citations per field
00.5×2.9×
Tian Ran Lin · 1×
Citations per year

Countries citing papers authored by Xiaolan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaolan Wang, 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 Xiaolan Wang Line = papers co-authored together Xiaolan Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201473
2 201972
3 202067
4 202065
5 202063
6 202057
7 201854
8 201847
9 201845
10 201941
11 202140
12 201738
13 202035
14 201930
15 201427
16 201225
17 202124
18 201824
19 201723
20 201922

About Xiaolan Wang

Xiaolan Wang is a scholar working on Automotive Engineering, Mechanics of Materials, Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 117 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (17 papers), Vehicle Noise and Vibration Control (14 papers), Probabilistic and Robust Engineering Design (13 papers), Autonomous Vehicle Technology and Safety (11 papers), Acoustic Wave Phenomena Research (10 papers), Topic Modeling (9 papers), Structural Health Monitoring Techniques (7 papers) and Manufacturing Process and Optimization (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (268 citations), Automotive Engineering (240 citations), Mechanics of Materials (428 citations), Signal Processing (164 citations) and Civil and Structural Engineering (279 citations). Xiaolan Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xintian Liu, Yansong Wang, Hui Guo, Haijie Wang, Yansong Wang, Y.S. Wang, Minghui Zhang, Bei Wang, Wenming Zheng and Shuo Wang. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, Proceedings of the VLDB Endowment, Quality and Reliability Engineering International, Applied Acoustics and Mechanical Systems and Signal Processing.

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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