Ming‐Yi You

571 citations
45 papers · 432 · h-index 12

Impact in

Papers in

Ming‐Yi You

34 papers receiving 407 citations

Peers

Ming‐Yi You
Comparison fields: 5 of 60
  • Safety, Risk, Reliability and Quality 251
  • Software 67
  • Medical Laboratory Technology 19
  • Statistics, Probability and Uncertainty 52
  • Statistics and Probability 60
Replace Hui Shi with:
Hui Shi China
Jianshe Kang China
Zhijun Cheng China
Huairui Guo United States
Juseong Lee Netherlands
Runqing Huang China
Gaoyang Li China
Binbin Xu China
Dezhen Yang China
Bei Wu China
Ming‐Yi You relative to Hui Shi China Hui Shi's profile →
Citations per field
00.5×2×3×4.1×
Hui Shi · 1×
Citations per year

Countries citing papers authored by Ming‐Yi You

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Yi You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201073
2 200957
3 201144
4 200933
5 201330
6 201027
7 201218
8 202016
9 202012
10 202312
11 201112
12 201211
13 20228
14 20178
15 20247
16 20207
17 20117
18 20227
19
Review on condition-based equipment residual life prediction and preventive maintenance scheduling
20115
20 20245

About Ming‐Yi You

Ming‐Yi You is a scholar working on Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, Aerospace Engineering, Signal Processing and Artificial Intelligence, having authored 45 papers that have together received 432 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (16 papers), Indoor and Outdoor Localization Technologies (15 papers), Direction-of-Arrival Estimation Techniques (8 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers), Speech and Audio Processing (8 papers), Software Reliability and Analysis Research (7 papers), Life Cycle Costing Analysis (6 papers) and Risk and Safety Analysis (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (251 citations), Software (67 citations), Medical Laboratory Technology (19 citations), Statistics, Probability and Uncertainty (52 citations) and Statistics and Probability (60 citations). Ming‐Yi You has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Guang Meng, Jun Ni, Fang Liu, Lin Li, Hongguang Li, Kai Huang, Bin Jiang, Qingjiang Shi, Yunxia Ye and Ping Wei. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, Signal Processing, IEEE Transactions on Aerospace and Electronic Systems, IEEE Sensors Journal and IEEE Transactions on Reliability.

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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