Mingwei Jia

529 citations
31 papers · 332 · 1 hit paper · h-index 11

Impact in

Papers in

Mingwei Jia

26 papers receiving 329 citations

Mingwei Jia's Hit Papers

Graph convolutional network soft sensor for process quality prediction 2023 · 92 citations
920+1+2Years since publication255075

Peers

Mingwei Jia
Comparison fields: 5 of 49
  • Control and Systems Engineering 227
  • Statistics, Probability and Uncertainty 28
  • Artificial Intelligence 111
  • Mechanical Engineering 86
  • Analytical Chemistry 18
Replace Yujia Zhao with:
Yujia Zhao China
Jinchuan Qian China
Ruomu Tan United Kingdom
Ting Xue China
Jingxin Zhang China
Lamiaa M. Elshenawy Egypt
Celso J. Munaro Brazil
Viet Ha Nguyen Luxembourg
Mingxi Ai China
Shifu Yan China
Mingwei Jia relative to Yujia Zhao China Yujia Zhao's profile →
Citations per field
00.5×5.6×
Yujia Zhao · 1×
Citations per year

Countries citing papers authored by Mingwei Jia

Since Specialization
Citations

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

Fields of papers citing papers by Mingwei Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Graph convolutional network soft sensor for process quality prediction
Hit paper breakdown →
202392
2 202336
3 202224
4 202421
5 202518
6 202315
7 202414
8 202313
9 202412
10 202312
11 202412
12 20249
13 20248
14 20247
15 20217
16 20256
17 20246
18 20245
19 20243
20 20243

About Mingwei Jia

Mingwei Jia is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering, Molecular Biology and Computational Theory and Mathematics, having authored 31 papers that have together received 332 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (27 papers), Mineral Processing and Grinding (9 papers), Anomaly Detection Techniques and Applications (8 papers), Advanced Data Processing Techniques (5 papers), Advanced Control Systems Optimization (5 papers), Computational Drug Discovery Methods (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Control and Systems Engineering (227 citations), Statistics, Probability and Uncertainty (28 citations), Artificial Intelligence (111 citations), Mechanical Engineering (86 citations) and Analytical Chemistry (18 citations). Mingwei Jia has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Yi Liu, Yuan Yao, Tao Yang, Danya Xu, Zengliang Gao, Junhao Hu, Ying Zhang, Qiao Liu, Zhengjiang Zhang and Tao Chen. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Industrial & Engineering Chemistry Research, Journal of Process Control, IEEE Transactions on Instrumentation and Measurement and Process Safety and Environmental Protection.

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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