Bin Lü

49 papers receiving 1.8k citations

Peers

Bin Lü
Comparison fields: 5 of 40
  • Mechanical Engineering 1.5k
  • Building and Construction 134
  • Industrial and Manufacturing Engineering 54
  • Mechanics of Materials 114
  • Computational Mechanics 71
Replace Kee Joo Kim with:
Kee Joo Kim South Korea
Satish Chandra Jain India
Wuyi Chen China
Cem C. Tutum Denmark
Yong Jun Lu China
Orion L. Kafka United States
Xuan Ye Liang United States
Larsgunnar Nilsson Sweden
Vincent Y. Blouin United States
R. Ganesh Narayanan India
Bin Lü relative to Kee Joo Kim South Korea Kee Joo Kim's profile →
Citations per field
00.5×5×10×14.3×
Kee Joo Kim · 1×
Citations per year

Countries citing papers authored by Bin Lü

Since Specialization
Citations

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

Fields of papers citing papers by Bin Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014162
2 2013126
3 2014125
4 2013114
5 2020101
6 201592
7 201590
8 201790
9 202273
10 201767
11 201461
12 201457
13 201554
14 201650
15 200847
16 201443
17 201533
18 201132
19 201632
20 201331

About Bin Lü

Bin Lü is a scholar working on Mechanical Engineering, Civil and Structural Engineering, Building and Construction, Statistics, Probability and Uncertainty and Oceanography, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metal Forming Simulation Techniques (39 papers), Topology Optimization in Engineering (6 papers), Traffic Prediction and Management Techniques (3 papers), Probabilistic and Robust Engineering Design (2 papers), Marine and coastal ecosystems (2 papers), Model Reduction and Neural Networks (1 paper), Spatial and Panel Data Analysis (1 paper) and Metaheuristic Optimization Algorithms Research (1 paper). The work is most often cited by research in Mechanical Engineering (1.5k citations), Building and Construction (134 citations), Industrial and Manufacturing Engineering (54 citations), Mechanics of Materials (114 citations) and Computational Mechanics (71 citations). Bin Lü has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hengan Ou, Jie-Sheng Chen, Jian Feng Cao, Hui Long, Jun Chen, Dongkai Xu, Tingting Cao, Xiaoying Gan, Luoyi Fu and David Graham McCartney. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, International Journal of Machine Tools and Manufacture, Structural and Multidisciplinary Optimization, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture and International Journal of Mechanical Sciences.

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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