Ming Lu

1.3k citations
80 papers · 999 · h-index 20

Impact in

Papers in

Ming Lu

71 papers receiving 950 citations

Peers

Ming Lu
Comparison fields: 5 of 91
  • Safety, Risk, Reliability and Quality 112
  • Control and Systems Engineering 287
  • Industrial and Manufacturing Engineering 115
  • Civil and Structural Engineering 160
  • Mechanics of Materials 170
Replace Mei Yuan with:
Mei Yuan China
Stephen M. Batill United States
Michael Hanss Germany
Zhe Yang China
Debiao Meng China
S. Shan China
Bing Wang China
Xueyi Li China
Viktor Slavkovikj Belgium
Ming Lu relative to Mei Yuan China Mei Yuan's profile →
Citations per field
00.5×2.6×
Mei Yuan · 1×
Citations per year

Countries citing papers authored by Ming Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200278
2 202062
3 202053
4 199847
5 202443
6 202442
7 201939
8 202436
9 199734
10 202031
11 200727
12 202226
13 201025
14 201024
15 199924
16 202121
17 200821
18 200720
19 202419
20 202019

About Ming Lu

Ming Lu is a scholar working on Control and Systems Engineering, Artificial Intelligence, Civil and Structural Engineering, Industrial and Manufacturing Engineering and Mechanics of Materials, having authored 80 papers that have together received 999 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Business Process Modeling and Analysis (6 papers), Manufacturing Process and Optimization (6 papers), Vibration and Dynamic Analysis (6 papers), Scheduling and Optimization Algorithms (6 papers), Thermal Analysis in Power Transmission (6 papers), Tunneling and Rock Mechanics (6 papers) and Service-Oriented Architecture and Web Services (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (112 citations), Control and Systems Engineering (287 citations), Industrial and Manufacturing Engineering (115 citations), Civil and Structural Engineering (160 citations) and Mechanics of Materials (170 citations). Ming Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chaoyang Chen, Yuji Naka, Einar Broch, John Chan, Zuguo Chen, Jie Jin, Rafael Batres, Lianghong Wu, Hao Duan and C. McGreavy. Their work appears in journals such as Computers & Chemical Engineering, IEEE Transactions on Power Delivery, IEEE Access, Journal of Rock Mechanics and Geotechnical Engineering and Measurement.

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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