Li Xue

703 citations
44 papers · 543 indexed · h-index 12
Topics
Advanced Statistical Process Monitoring (14 papers)Scientific Measurement and Uncertainty Evaluation (9 papers)Advanced Statistical Methods and Models (6 papers)
Partner nations
ChinaUnited StatesSerbia

In The Last Decade

Li Xue

36 papers receiving 530 citations

Peers

Li Xue
Comparison fields: 5 of 94
  • Electrical and Electronic Engineering 161
  • Strategy and Management 117
  • Statistics, Probability and Uncertainty 94
  • Marketing 90
  • Management Information Systems 89
Replace José M. Laínez‐Aguirre with:
José M. Laínez‐Aguirre United States
Mohsen Zareinejad Iran
Nihal Erginel Türkiye
Seyed Gholamreza Jalali Naini Iran
Song‐Man Wu China
Zulema Lopes Pereira Portugal
Ying-Fang Huang Taiwan
Sepehr Hendiani Iran
Belmiro P.M. Duarte Portugal
Kuo‐Ren Lou Taiwan
Li Xue relative to José M. Laínez‐Aguirre United States José M. Laínez‐Aguirre's profile →
Citations per field
00.5×3.8×
José M. Laínez‐Aguirre · 1×
Citations per year

Countries citing papers authored by Li Xue

Since Specialization
Citations

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

Fields of papers citing papers by Li Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Li Xue. A scholar is included among the top collaborators of Li Xue based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li Xue. Li Xue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 9
6 4
7 0
8 3
9 9
10 44
11 1
12 11
13 51
14 67
15 3
16 5
17 1
18 0
19 7
20 1

About Li Xue

Li Xue is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Safety, Risk, Reliability and Quality, having authored 44 papers that have together received 543 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (14 papers), Scientific Measurement and Uncertainty Evaluation (9 papers) and Advanced Statistical Methods and Models (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (94 citations), Management Information Systems (89 citations) and Marketing (90 citations). Li Xue has collaborated with scholars based in China, United States and Serbia. Frequent co-authors include Xiaoqiang Cai, Jian Chen, Peihua Qiu, Linquan Bai, Qiuyan Zhong, Houhe Chen, Rufeng Zhang, Guoqing Li, Cheng‐Xiong Yang and Yuanyuan Cui. Their work appears in journals such as IEEE Access, Frontiers in Psychology 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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