Min Xie

29.6k citations
709 papers · 22.4k indexed · 5 hit papers · h-index 71

Impact in

Papers in

Min Xie

672 papers receiving 21.3k citations

Hit Papers

Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence 2021 · 148 citations
1482006202620122019100200300400500

Peers

Min Xie
Comparison fields: 5 of 204
  • Software 4.3k
  • Statistics, Probability and Uncertainty 7.4k
  • Safety, Risk, Reliability and Quality 7.5k
  • Statistics and Probability 5.4k
  • Medical Laboratory Technology 590
Replace Enrico Zio with:
Enrico Zio Italy
Ming J. Zuo Canada
David W. Coit United States
Frank Proschan United States
Richard E. Barlow United States
Rommert Dekker Netherlands
Witold Pedrycz Canada
Hu‐Chen Liu China
Jianbo Yang China
J. George Shanthikumar United States
Min Xie relative to Enrico Zio Italy Enrico Zio's profile →
Citations per field
00.5×4.4×
Enrico Zio · 1×
Citations per year

Countries citing papers authored by Min Xie

Since Specialization
Citations

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

Fields of papers citing papers by Min Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20258
2 20253
3 20255
4 20251
5 20256
6 20245
7 20241
8 20241
9 202440
10 20245
11 20246
12 202349
13 202364
14 20231
15 20236
16 202320
17 200747
18 200614
19 200324
20 199410

About Min Xie

Min Xie is a scholar working on Software, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Statistics and Probability and Medical Laboratory Technology, having authored 709 papers that have together received 22.4k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (226 papers), Software Reliability and Analysis Research (155 papers), Statistical Distribution Estimation and Applications (116 papers), Advanced Statistical Process Monitoring (112 papers), Risk and Safety Analysis (80 papers), Fault Detection and Control Systems (73 papers), Probabilistic and Robust Engineering Design (73 papers) and Software Engineering Research (54 papers). The work is most often cited by research in Software (4.3k citations), Statistics, Probability and Uncertainty (7.4k citations), Safety, Risk, Reliability and Quality (7.5k citations), Statistics and Probability (5.4k citations) and Medical Laboratory Technology (590 citations). Min Xie has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include T. N. Goh, T.N. Goh, C. D. Lai, Zhi‐Sheng Ye, Baoping Cai, Loon Ching Tang, Kay Chen Tan, Yan‐Fu Li, Sze Ling Ho and Bin Liu. Their work appears in journals such as Reliability Engineering & System Safety, Quality and Reliability Engineering International, IEEE Transactions on Reliability, Computers & Industrial Engineering and International Journal of Production 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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