Yining Dong

1.8k citations
48 papers · 1.3k · 1 hit paper · h-index 18

Impact in

    • Fault Detection and Control Systems
    • Advanced Control Systems Optimization
    • Machine Fault Diagnosis Techniques
    • Advanced Data Processing Techniques
    • Control Systems and Identification
    • Spectroscopy and Chemometric Analyses

Papers in

Yining Dong

44 papers receiving 1.2k citations

Yining Dong's Hit Papers

A novel dynamic PCA algorithm for dynamic data modeling and process monitoring 2017 · 365 citations
3650+3+6Years since publication100200300

Peers

Yining Dong
Comparison fields: 5 of 119
  • Control and Systems Engineering 941
  • Analytical Chemistry 225
  • Statistics, Probability and Uncertainty 156
  • Mechanical Engineering 491
  • Artificial Intelligence 199
Replace Ashish Singhal with:
Ashish Singhal India
Iori Hashimoto Japan
Téodor Tiplica France
Evan L. Russell United States
Xuemin Tian China
Lingjian Ye China
Le Zhou China
Jiusun Zeng China
Wenkai Hu China
Yining Dong relative to Ashish Singhal India Ashish Singhal's profile →
Citations per field
00.5×10×17.4×
Ashish Singhal · 1×
Citations per year

Countries citing papers authored by Yining Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yining Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A novel dynamic PCA algorithm for dynamic data modeling and process monitoring
Hit paper breakdown →
2017365
2 2020111
3 2018102
4 201776
5 202164
6 201560
7 202356
8 202054
9 202043
10 202035
11 201835
12 202229
13 201726
14 202325
15 202421
16 202219
17 202118
18 202217
19 202416
20 202415

About Yining Dong

Yining Dong is a scholar working on Control and Systems Engineering, Analytical Chemistry, Mechanical Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (20 papers), Spectroscopy and Chemometric Analyses (10 papers), Machine Fault Diagnosis Techniques (6 papers), Neural Networks and Applications (6 papers), Advanced Control Systems Optimization (5 papers), Control Systems and Identification (4 papers), Gear and Bearing Dynamics Analysis (4 papers) and Machine Learning in Materials Science (4 papers). The work is most often cited by research in Control and Systems Engineering (941 citations), Analytical Chemistry (225 citations), Statistics, Probability and Uncertainty (156 citations), Mechanical Engineering (491 citations) and Artificial Intelligence (199 citations). Yining Dong has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include S. Joe Qin, Qinqin Zhu, Gang Tang, Jin Wang, Qiang Liu, Hongkuan Zhou, Haiyang Gu, Quansheng Chen, Zhen Liang and Yuan‐Ting Zhang. Their work appears in journals such as Journal of Food Composition and Analysis, IEEE Transactions on Industrial Informatics, Computers & Chemical Engineering, Reliability Engineering & System Safety and Journal of Nanoelectronics and Optoelectronics.

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.

Explore authors with similar magnitude of impact