Ming Jin

83 papers receiving 655 citations

Peers

Ming Jin
Comparison fields: 5 of 94
  • Control and Systems Engineering 157
  • Computational Mathematics 4
  • Civil and Structural Engineering 135
  • Electrical and Electronic Engineering 263
  • Mechanics of Materials 99
Replace Norberto M. Nigro with:
Norberto M. Nigro Argentina
Yang Ge China
Fei Meng China
Giovanni Bracco Italy
Giuliana Mattiazzo Italy
Weiwei Wu China
F. Gardner Netherlands
Johannes Falnes Norway
Feifei Wang China
Hongwei Liu China
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Citations per field
00.5×2×3.4×
Norberto M. Nigro · 1×
Citations per year

Countries citing papers authored by Ming Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ming Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202088
2 202157
3 199755
4 201652
5 202048
6 199936
7 199130
8 201522
9 200721
10 202019
11
One-Dimensional Routing of Mud/Debris Flows Using NWS FLDWAV Model
199719
12 200815
13 201711
14 201511
15
Transmission of vibration of a power transformer from the internal structures to the tank
201210
16
An LPI Numerical Implicit Solution for Unsteady Mixed-Flow Simulation
199610
17
Finite Element Modelling of the Vibration of a Power Transformer
20119
18 20228
19 20028
20 20127

About Ming Jin

Ming Jin is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Mechanics of Materials and Materials Chemistry, having authored 91 papers that have together received 692 indexed citations. Recurring topics across this work include Power Transformer Diagnostics and Insulation (13 papers), Vibration and Dynamic Analysis (11 papers), Elasticity and Material Modeling (11 papers), High voltage insulation and dielectric phenomena (11 papers), Composite Structure Analysis and Optimization (10 papers), Advanced Surface Polishing Techniques (9 papers), Advanced machining processes and optimization (6 papers) and Structural Analysis and Optimization (6 papers). The work is most often cited by research in Control and Systems Engineering (157 citations), Computational Mathematics (4 citations), Civil and Structural Engineering (135 citations), Electrical and Electronic Engineering (263 citations) and Mechanics of Materials (99 citations). Ming Jin has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jie Pan, D. L. Fread, Kaixing Hong, Huang Hai, Michael D. Bryant, Hao Ren, Chenyang Li, Jun Li, Huiling Chen and Wu Chen. Their work appears in journals such as Journal of Hydraulic Engineering, Applied Acoustics, Mathematics and Mechanics of Solids, Mechanics Research Communications and Journal of Elasticity.

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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