Mingjun Liu

629 citations
15 papers · 160 · h-index 4

Impact in

Papers in

Mingjun Liu

15 papers receiving 144 citations

Peers

Mingjun Liu
Comparison fields: 5 of 54
  • Information Systems 76
  • Media Technology 22
  • Computer Vision and Pattern Recognition 47
  • Safety, Risk, Reliability and Quality 16
  • Transportation 7
Replace Kabita Agarwal with:
Kabita Agarwal India
Sachin R. Sakhare India
Keonhee Cho South Korea
Ade Silvia Handayani Indonesia
Lukun Wang China
N. Yuvaraj India
V Asha India
Pham Duc Lam Vietnam
Ahmad Maroof Karimi United States
Muhammad Ibrahim Khalil Pakistan
Mingjun Liu relative to Kabita Agarwal India Kabita Agarwal's profile →
Citations per field
00.5×2.8×
Kabita Agarwal · 1×
Citations per year

Countries citing papers authored by Mingjun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Mingjun Liu, 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 Mingjun Liu Line = papers co-authored together Mingjun Liu links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2008101
2 201621
3 201214
4 20238
5 20223
6 20242
7 20222
8 20192
9
Mathematical Model of Four Typical Defects for UHF Partial Discharge in GIS
20061
10 20161
11 20251
12 20231
13 20171
14 20131
15 20101

About Mingjun Liu

Mingjun Liu is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition, Mechanical Engineering and Aerospace Engineering, having authored 15 papers that have together received 160 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (3 papers), 3D Shape Modeling and Analysis (2 papers), Mechanical Failure Analysis and Simulation (2 papers), Reliability and Maintenance Optimization (2 papers), Microgrid Control and Optimization (1 paper), Structural Integrity and Reliability Analysis (1 paper), Marine and Coastal Research (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Information Systems (76 citations), Media Technology (22 citations), Computer Vision and Pattern Recognition (47 citations), Safety, Risk, Reliability and Quality (16 citations) and Transportation (7 citations). Mingjun Liu has collaborated with scholars based in China. Frequent co-authors include Yue Liu, Ju Yang, Wenyuan Li, Juan Yu, Ruilin Xu, Zhouyang Ren, Quanxin Sun, Hui Shi, Yong Qi and Baohua Mao. Their work appears in journals such as Sustainability, Journal of Modern Power Systems and Clean Energy, Accident Analysis & Prevention, Shock and Vibration and Journal of Transportation Systems Engineering and Information Technology.

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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