Mingxi Ai

443 total citations
26 papers, 329 citations indexed

About

Mingxi Ai is a scholar working on Mechanical Engineering, Water Science and Technology and Control and Systems Engineering. According to data from OpenAlex, Mingxi Ai has authored 26 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 16 papers in Water Science and Technology and 11 papers in Control and Systems Engineering. Recurrent topics in Mingxi Ai's work include Mineral Processing and Grinding (16 papers), Minerals Flotation and Separation Techniques (13 papers) and Fault Detection and Control Systems (8 papers). Mingxi Ai is often cited by papers focused on Mineral Processing and Grinding (16 papers), Minerals Flotation and Separation Techniques (13 papers) and Fault Detection and Control Systems (8 papers). Mingxi Ai collaborates with scholars based in China, Germany and United States. Mingxi Ai's co-authors include Weihua Gui, Yongfang Xie, Zhaohui Tang, Jin Zhang, Shiwen Xie, Fanbiao Li, Guoyong Zhang, Degang Xu, Steven X. Ding and Chunhua Yang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Information Sciences.

In The Last Decade

Mingxi Ai

22 papers receiving 319 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingxi Ai China 13 203 188 99 65 31 26 329
Bodil Recke Denmark 6 145 0.7× 48 0.3× 252 2.5× 42 0.6× 34 1.1× 13 380
Jørgen Knudsen Denmark 4 134 0.7× 48 0.3× 234 2.4× 43 0.7× 34 1.1× 9 357
A. Jahedsaravani Iran 10 403 2.0× 380 2.0× 66 0.7× 79 1.2× 60 1.9× 13 502
Junwu Zhou China 10 170 0.8× 43 0.2× 134 1.4× 67 1.0× 7 0.2× 20 334
Chai Tian-you China 9 138 0.7× 24 0.1× 210 2.1× 56 0.9× 9 0.3× 95 335
Ajaya Kumar Pani India 14 199 1.0× 20 0.1× 358 3.6× 97 1.5× 51 1.6× 29 526
Lijie Zhao China 9 202 1.0× 33 0.2× 227 2.3× 85 1.3× 25 0.8× 36 376
Jing Zeng China 11 50 0.2× 40 0.2× 240 2.4× 38 0.6× 7 0.2× 38 389
Alberto Prieto-Moreno Cuba 8 120 0.6× 25 0.1× 213 2.2× 54 0.8× 6 0.2× 15 294
Runda Jia China 16 217 1.1× 30 0.2× 349 3.5× 61 0.9× 16 0.5× 61 553

Countries citing papers authored by Mingxi Ai

Since Specialization
Citations

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

Fields of papers citing papers by Mingxi Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxi Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxi Ai. A scholar is included among the top collaborators of Mingxi Ai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingxi Ai. Mingxi Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Zhang, Jin, Mingxi Ai, Zhaohui Tang, et al.. (2025). A Sentinel-Based Adaptive Hybrid Soft Sensing Method for Industrial Process Monitoring. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.
3.
Ai, Mingxi, et al.. (2025). Semi-supervised contrastive learning for flotation process monitoring with uncertainty-aware prototype optimization. Engineering Applications of Artificial Intelligence. 145. 110222–110222.
4.
Li, Peng, et al.. (2024). Gaussian-kernel weighted neighborhood preserving embedding algorithm and its application in fault detection. Measurement Science and Technology. 35(8). 86207–86207. 2 indexed citations
5.
Li, Peng, et al.. (2024). Temperature Control Method for Batch Reactors Based on Adaptive Delay Compensation. 1272–1277. 1 indexed citations
6.
Ai, Mingxi, et al.. (2024). Multiscale permutation entropy gray image coding method and its application in bearing fault diagnosis. Engineering Research Express. 6(1). 15092–15092. 4 indexed citations
7.
Ai, Mingxi, et al.. (2024). Self-supervised dynamic and static feature representation learning method for flotation monitoring. Powder Technology. 442. 119866–119866. 4 indexed citations
8.
9.
Ai, Mingxi, Yongfang Xie, Steven X. Ding, Zhaohui Tang, & Weihua Gui. (2022). Domain Knowledge Distillation and Supervised Contrastive Learning for Industrial Process Monitoring. IEEE Transactions on Industrial Electronics. 70(9). 9452–9462. 16 indexed citations
10.
Zhang, Jin, Zhaohui Tang, Yongfang Xie, et al.. (2020). Disturbance-Encoding-Based Neural Hammerstein–Wiener Model for Industrial Process Predictive Control. IEEE Transactions on Systems Man and Cybernetics Systems. 52(1). 606–617. 17 indexed citations
11.
Ai, Mingxi, Yongfang Xie, Zhaohui Tang, Jin Zhang, & Weihua Gui. (2020). Two-Stream Deep Feature-Based Froth Flotation Monitoring Using Visual Attention Clues. IEEE Transactions on Instrumentation and Measurement. 70. 1–14. 33 indexed citations
12.
Zhang, Jin, Zhaohui Tang, Yongfang Xie, et al.. (2020). Timed key-value memory network for flotation reagent control. Control Engineering Practice. 98. 104360–104360. 16 indexed citations
13.
Zhang, Jin, Zhaohui Tang, Yongfang Xie, Mingxi Ai, & Weihua Gui. (2020). Visual perception-based fault diagnosis in froth flotation using statistical approaches. Tsinghua Science & Technology. 26(2). 172–184. 14 indexed citations
14.
Ai, Mingxi, Yongfang Xie, Shiwen Xie, Jin Zhang, & Weihua Gui. (2020). Fuzzy association rule-based set-point adaptive optimization and control for the flotation process. Neural Computing and Applications. 32(17). 14019–14029. 25 indexed citations
15.
Ai, Mingxi, Yongfang Xie, Shiwen Xie, Fanbiao Li, & Weihua Gui. (2019). Data-driven-based adaptive fuzzy neural network control for the antimony flotation plant. Journal of the Franklin Institute. 356(12). 5944–5960. 26 indexed citations
16.
Zhang, Jin, Zhaohui Tang, Yongfang Xie, Mingxi Ai, & Weihua Gui. (2019). Flotation Fault Diagnosis Method Using Statistical Approaches. 266–271. 3 indexed citations
17.
Zhang, Jin, Zhaohui Tang, Mingxi Ai, & Weihua Gui. (2018). Fuzzy Association Rule Based Froth Surface Behavior Control in Zinc Froth Flotation. Symmetry. 10(6). 216–216. 12 indexed citations
18.
Ai, Mingxi, Yongfang Xie, & Degang Xu. (2018). Reagent Predictive Control Using Joint Froth Image Feature for Antimony Flotation Process. IFAC-PapersOnLine. 51(21). 284–289. 6 indexed citations
19.
Ai, Mingxi, Yongfang Xie, Degang Xu, Weihua Gui, & Chunhua Yang. (2018). Data‐driven flotation reagent changing evaluation via union distribution analysis of bubble size and shape. The Canadian Journal of Chemical Engineering. 96(12). 2616–2626. 14 indexed citations
20.
Zhang, Jin, Zhaohui Tang, Mingxi Ai, & Weihua Gui. (2018). Nonlinear modeling of the relationship between reagent dosage and flotation froth surface image by Hammerstein-Wiener model. Minerals Engineering. 120. 19–28. 32 indexed citations

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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