Shiyu Zhou

6.6k citations
220 papers · 4.9k indexed · 2 hit papers · h-index 33

Shiyu Zhou

203 papers receiving 4.8k citations

Hit Papers

Recent Progress in Smart Polymeric Gel‐Based Information ...268202220262023202450100150200250

Peers

Shiyu Zhou
Comparison fields: 5 of 174
  • Statistics, Probability and Uncertainty 904
  • Industrial and Manufacturing Engineering 1.1k
  • Safety, Risk, Reliability and Quality 377
  • Statistics and Probability 340
  • Control and Systems Engineering 890
Replace Genichi Taguchi with:
Genichi Taguchi United States
Ming Dong China
Yimin Zhang China
Kailash C. Kapur United States
Min Zhang China
Xiaoyang Li China
M. S. Phadke United States
Chun Su China
Venkat Venkatasubramanian United States
Chao Hu United States
Shiyu Zhou relative to Genichi Taguchi United States Genichi Taguchi's profile →
Citations per field
00.5×5.9×
Genichi Taguchi · 1×
Citations per year

Countries citing papers authored by Shiyu Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Shiyu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20243
3 20240
4 20243
5 20241
6 20236
7 20232
8 202314
9 202318
10 202214
11 20219
12 20213
13 202112
14 202115
15 20155
16 201411
17 201010
18 2009206
19 200513
20 200524

About Shiyu Zhou

Shiyu Zhou is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Software, having authored 220 papers that have together received 4.9k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (31 papers), Manufacturing Process and Optimization (26 papers), Fault Detection and Control Systems (26 papers), Reliability and Maintenance Optimization (19 papers), Industrial Vision Systems and Defect Detection (13 papers), Advanced Battery Technologies Research (12 papers), Advanced Statistical Methods and Models (12 papers) and Scientific Measurement and Uncertainty Evaluation (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (904 citations), Industrial and Manufacturing Engineering (1.1k citations) and Safety, Risk, Reliability and Quality (377 citations). Shiyu Zhou has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jianjun Shi, Yu Ding, Yongping Pu, Qiang Huang, Qiang Zhou, Li Zeng, Yong Chen, Junbo Son, Xiaoxia Le and Yucheng Sun. Their work appears in journals such as Advanced Materials, Applied Physics Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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