Ming Dong

222 papers receiving 5.1k citations

Ming Dong's Hit Papers

Current status of machine prognostics in condition-based maintenance: a review 2010 · 564 citations
5640+5+10Years since publication100200300400500

Peers

Ming Dong
Comparison fields: 5 of 153
  • Medical Laboratory Technology 159
  • Safety, Risk, Reliability and Quality 820
  • Industrial and Manufacturing Engineering 888
  • Management Information Systems 728
  • Control and Systems Engineering 1.3k
Replace Fu‐Kwun Wang with:
Fu‐Kwun Wang Taiwan
Mohammad Modarres United States
Xiaojun Zhou China
Kai Yang United States
Peter Sandborn United States
Laibin Zhang China
Elsayed A. Elsayed United States
Shubin Si China
Genichi Taguchi United States
Bin Liu China
Ming Dong relative to Fu‐Kwun Wang Taiwan Fu‐Kwun Wang's profile →
Citations per field
00.5×2.8×
Fu‐Kwun Wang · 1×
Citations per year

Countries citing papers authored by Ming Dong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 240 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Current status of machine prognostics in condition-based maintenance: a review
Hit paper breakdown →
2010564
2 2006259
3 2006217
4 2020139
5 2014124
6 2015115
7 2008112
8 2010102
9 199798
10 201395
11 201594
12 201590
13 201886
14 200881
15 202073
16 201073
17 201367
18 200566
19 201566
20 201265

About Ming Dong

Ming Dong is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Control and Systems Engineering, Industrial and Manufacturing Engineering and Management Information Systems, having authored 240 papers that have together received 5.3k indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (82 papers), Power Transformer Diagnostics and Insulation (64 papers), Supply Chain and Inventory Management (30 papers), Scheduling and Optimization Algorithms (22 papers), Lightning and Electromagnetic Phenomena (16 papers), Fault Detection and Control Systems (15 papers), Machine Fault Diagnosis Techniques (15 papers) and Reliability and Maintenance Optimization (14 papers). The work is most often cited by research in Medical Laboratory Technology (159 citations), Safety, Risk, Reliability and Quality (820 citations), Industrial and Manufacturing Engineering (888 citations), Management Information Systems (728 citations) and Control and Systems Engineering (1.3k citations). Ming Dong has collaborated with scholars based in China, United States and Spain. Frequent co-authors include David He, Ying Peng, Ming J. Zuo, Ming Ren, Qinming Liu, Dong Yang, Shengsheng Xiao, Chongxing Zhang, Ying Peng and F. Frank Chen. Their work appears in journals such as IEEE Transactions on Dielectrics and Electrical Insulation, International Journal of Production Research, The International Journal of Advanced Manufacturing Technology, Robotics and Computer-Integrated Manufacturing and Computers & Operations Research.

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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