Ming Cong

599 citations
34 papers · 446 indexed · h-index 14

Impact in

Papers in

Ming Cong

31 papers receiving 433 citations

Peers

Ming Cong
Comparison fields: 5 of 63
  • Electronic, Optical and Magnetic Materials 133
  • Biophysics 25
  • Automotive Engineering 50
  • Fluid Flow and Transfer Processes 24
  • Materials Chemistry 174
Replace Leyuan Yu with:
Leyuan Yu United States
Zhengyi Lu China
Liu Lü China
Haoran Zhan China
Jiping Zhu China
Ce Sun China
Zhiyang Song China
Oleksandr Astakhov Germany
Zirui Wang China
An Huang United States
Ming Cong relative to Leyuan Yu United States Leyuan Yu's profile →
Citations per field
00.5×10×
Leyuan Yu · 1×
Citations per year

Countries citing papers authored by Ming Cong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20251
3 20250
4 20250
5 202211
6 202218
7 202210
8 202117
9 202132
10 202112
11 202049
12 20195
13 201917
14
Reliability Estimation Based on Moving Average and State Space Model for Rolling Element Bearing
20150
15 20156
16 20142
17 201224
18 201218
19 20022
20 20025

About Ming Cong

Ming Cong is a scholar working on Acoustics and Ultrasonics, Renewable Energy, Sustainability and the Environment, Automotive Engineering, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering, having authored 34 papers that have together received 446 indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (9 papers), Electrocatalysts for Energy Conversion (7 papers), Gold and Silver Nanoparticles Synthesis and Applications (7 papers), Plasmonic and Surface Plasmon Research (4 papers), Advanced Battery Technologies Research (3 papers), Perovskite Materials and Applications (3 papers), Luminescence and Fluorescent Materials (3 papers) and Luminescence Properties of Advanced Materials (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (133 citations), Biophysics (25 citations), Automotive Engineering (50 citations), Fluid Flow and Transfer Processes (24 citations) and Materials Chemistry (174 citations). Ming Cong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Weiqing Xu, Shuping Xu, Yanbo Yang, Tiancai Ma, Weikang Lin, Kai Wang, Bo Zou, Yuejiao Gu, Yuyang Wang and Guanjun Xiao. Their work appears in journals such as International Journal of Hydrogen Energy, Energies, RSC Advances, Nanotechnology and Small.

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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