Andi Wang

23 papers receiving 380 citations

Peers

Andi Wang
Comparison fields: 5 of 57
  • Industrial and Manufacturing Engineering 167
  • Computational Mathematics 8
  • Statistics, Probability and Uncertainty 95
  • Automotive Engineering 135
  • Statistics and Probability 37
Replace Wen-An Yang with:
Wen-An Yang China
Zhimin Xi United States
Tao Zan China
Tzyy‐Shuh Chang United States
Yanlong Cao China
Muheng Wei China
Cheng-Ho Tho United States
Yizhen Peng China
Seokgoo Kim South Korea
Hui Shi China
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Citations per field
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Citations per year

Countries citing papers authored by Andi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Andi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201662
2 201750
3 201746
4 201442
5 201740
6 201839
7 201424
8 202015
9 202213
10 202112
11 202111
12 20216
13 20215
14 20224
15 20243
16 20223
17 20232
18 20212
19 20232
20 20222

About Andi Wang

Andi Wang is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering, Artificial Intelligence, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 26 papers that have together received 387 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (11 papers), Fault Detection and Control Systems (7 papers), Manufacturing Process and Optimization (5 papers), Industrial Vision Systems and Defect Detection (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Anomaly Detection Techniques and Applications (4 papers), Additive Manufacturing Materials and Processes (3 papers) and Spectroscopy and Chemometric Analyses (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (167 citations), Computational Mathematics (8 citations), Statistics, Probability and Uncertainty (95 citations), Automotive Engineering (135 citations) and Statistics and Probability (37 citations). Andi Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Fugee Tsung, Kaibo Liu, Xiaochen Xian, Qiang Huang, Jianjun Shi, Kaibo Wang, Tao Tang, Feng Wang, Chuck Zhang and Huihui Miao. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, IISE Transactions, Journal of Quality Technology, Technometrics and Quality and Reliability Engineering International.

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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