Xiaolin Wang

65 papers receiving 1.5k citations

Xiaolin Wang's Hit Papers

A prognostic driven predictive maintenance framework based on Bayesian deep learning 2023 · 118 citations
1180+1+2Years since publication255075100

Peers

Xiaolin Wang
Comparison fields: 5 of 134
  • Safety, Risk, Reliability and Quality 757
  • Software 306
  • Statistics, Probability and Uncertainty 270
  • Medical Laboratory Technology 49
  • Statistics and Probability 180
Replace Yiliu Liu with:
Yiliu Liu Norway
Zixian Liu China
A.I. Sánchez Spain
Makarand S. Kulkarni India
Hongzhou Wang China
Sharareh Taghipour Canada
Zhenglin Liang China
Qiuzhuang Sun Singapore
Alessandro Silvestri Italy
Qingqing Zhai China
Xiaolin Wang relative to Yiliu Liu Norway Yiliu Liu's profile →
Citations per field
00.5×1.5×2.4×
Yiliu Liu · 1×
Citations per year

Countries citing papers authored by Xiaolin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014144
2
A prognostic driven predictive maintenance framework based on Bayesian deep learning
Hit paper breakdown →
2023118
3 201692
4 202190
5 201975
6 200659
7 202059
8 201758
9 201858
10 201651
11 201748
12 202044
13 201143
14 202040
15 201838
16 201638
17 201936
18 201631
19 201430
20 202128

About Xiaolin Wang

Xiaolin Wang is a scholar working on Safety, Risk, Reliability and Quality, Accounting, Software, Statistics, Probability and Uncertainty and Management Information Systems, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (21 papers), Life Cycle Costing Analysis (10 papers), Software Reliability and Analysis Research (10 papers), Risk and Safety Analysis (5 papers), Supply Chain and Inventory Management (5 papers), Consumer Market Behavior and Pricing (4 papers), Advanced Battery Technologies Research (3 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (757 citations), Software (306 citations), Statistics, Probability and Uncertainty (270 citations), Medical Laboratory Technology (49 citations) and Statistics and Probability (180 citations). Xiaolin Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Chun Su, Min Xie, Xiujie Zhao, Bin Liu, Lishuai Li, Liangliang Zhuang, Ancha Xu, Wei Xie, Yu‐Zhong Wang and Li Chen. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Research, Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, International Journal of Production Economics and IISE Transactions.

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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