Xiaosheng Si

6.2k total citations · 1 hit paper
34 papers, 4.0k citations indexed

About

Xiaosheng Si is a scholar working on Safety, Risk, Reliability and Quality, Statistics and Probability and Automotive Engineering. According to data from OpenAlex, Xiaosheng Si has authored 34 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Safety, Risk, Reliability and Quality, 13 papers in Statistics and Probability and 11 papers in Automotive Engineering. Recurrent topics in Xiaosheng Si's work include Reliability and Maintenance Optimization (28 papers), Statistical Distribution Estimation and Applications (13 papers) and Advanced Battery Technologies Research (11 papers). Xiaosheng Si is often cited by papers focused on Reliability and Maintenance Optimization (28 papers), Statistical Distribution Estimation and Applications (13 papers) and Advanced Battery Technologies Research (11 papers). Xiaosheng Si collaborates with scholars based in China and Belgium. Xiaosheng Si's co-authors include Jianxun Zhang, Changhua Hu, Yong Yu, Yaguo Lei, Tianmei Li, Xiaoyan Sun, Shengjin Tang, Hong Pei, Naipeng Li and Chuanqiang Yu and has published in prestigious journals such as IEEE Access, Mechanical Systems and Signal Processing and Neural Computation.

In The Last Decade

Xiaosheng Si

32 papers receiving 3.9k citations

Hit Papers

A Review of Recurrent Neural Networks: LSTM Cells and Net... 2019 2026 2021 2023 2019 1000 2.0k 3.0k

Peers

Xiaosheng Si
Comparison fields: 5 of 183
  • Artificial Intelligence 909
  • Electrical and Electronic Engineering 727
  • Control and Systems Engineering 697
  • Safety, Risk, Reliability and Quality 484
  • Automotive Engineering 380
Replace Jianxun Zhang with:
Jianxun Zhang China
Changhua Hu China
Jie Liu China
Chao Zhang China
Xiaojun Zhou China
Washington Y. Ochieng United Kingdom
Jiankai Xue China
Reza Malekian South Africa
Enrique Castillo Spain
Jianxun Zhang China View profile →
Citations per field, relative to Xiaosheng Si
Xiaosheng Si · 1×
Citations per year, relative to Xiaosheng Si
Xiaosheng Si · 1×

Countries citing papers authored by Xiaosheng Si

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosheng Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaosheng Si

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaosheng Si. A scholar is included among the top collaborators of Xiaosheng Si 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 Xiaosheng Si. Xiaosheng Si 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
# Work Indexed citations
1 0
2 0
3 2
4 3
5 13
6 1
7 9
8 31
9 54
10 26
11 32
12 5
13 49
14 22
15 57
16 1
17 8
18 34
19
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures breakdown →
3288
20 53

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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