Wei Dai

2.7k citations
171 papers · 1.8k · h-index 24

Impact in

Papers in

Wei Dai

155 papers receiving 1.8k citations

Peers

Wei Dai
Comparison fields: 5 of 131
  • Statistics, Probability and Uncertainty 152
  • Industrial and Manufacturing Engineering 210
  • Medical Laboratory Technology 25
  • Safety, Risk, Reliability and Quality 153
  • Mechanical Engineering 608
Replace Jiajie Fan with:
Jiajie Fan China
Michael H. Azarian United States
Renjie Ji China
Shuai Zhao China
Diganta Das United States
Jiaxin Zhang China
Tadahiro Shibutani Japan
Zhen Liu China
Hyunseok Oh South Korea
Huai Wang Denmark
Wei Dai relative to Jiajie Fan China Jiajie Fan's profile →
Citations per field
00.5×1.5×
Jiajie Fan · 1×
Citations per year

Countries citing papers authored by Wei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Wei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202292
2 201479
3 201978
4 201163
5 202458
6 201440
7 201439
8 202337
9 202037
10 201636
11 201435
12 202335
13 201831
14 201430
15 202028
16 202028
17 201527
18 201726
19 201926
20 202225

About Wei Dai

Wei Dai is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Mechanics of Materials, Control and Systems Engineering and Safety, Risk, Reliability and Quality, having authored 171 papers that have together received 1.8k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (27 papers), Reliability and Maintenance Optimization (17 papers), Fault Detection and Control Systems (16 papers), Advanced machining processes and optimization (16 papers), Machine Fault Diagnosis Techniques (15 papers), Industrial Vision Systems and Defect Detection (11 papers), Fatigue and fracture mechanics (10 papers) and Advanced Fiber Optic Sensors (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (152 citations), Industrial and Manufacturing Engineering (210 citations), Medical Laboratory Technology (25 citations), Safety, Risk, Reliability and Quality (153 citations) and Mechanical Engineering (608 citations). Wei Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weifang Zhang, Yiqing Yang, Qiang Liu, Xiaowei Chen, Yihai He, Xuerong Liu, Yu Zhao, Meng Zhang, Weitao Lou and Lu Han. Their work appears in journals such as Metals, Materials, Sensors, IEEE Access and Applied Sciences.

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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