Mingjie Li

558 total citations
36 papers, 391 citations indexed

About

Mingjie Li is a scholar working on Control and Systems Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Mingjie Li has authored 36 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 8 papers in Mechanical Engineering and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Mingjie Li's work include Advanced Control Systems Optimization (7 papers), Fault Detection and Control Systems (6 papers) and Mineral Processing and Grinding (5 papers). Mingjie Li is often cited by papers focused on Advanced Control Systems Optimization (7 papers), Fault Detection and Control Systems (6 papers) and Mineral Processing and Grinding (5 papers). Mingjie Li collaborates with scholars based in China, United States and United Kingdom. Mingjie Li's co-authors include Ping Zhou, Hong Wang, Tianyou Chai, Xiangtao Li, Zhicheng Zhao, Jinggang Zhang, Qinghua Wu, Jin‐Kao Hao, Harold Alan Pincus and Brigitta Spaeth‐Rublee and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, European Journal of Operational Research and IEEE Transactions on Cybernetics.

In The Last Decade

Mingjie Li

28 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingjie Li China 12 166 71 69 63 50 36 391
Lou Caccetta Australia 11 201 1.2× 46 0.6× 49 0.7× 27 0.4× 30 0.6× 35 514
Kuo-Hsien Hsia Taiwan 9 84 0.5× 14 0.2× 28 0.4× 45 0.7× 52 1.0× 59 270
Takehisa Kohda Japan 10 99 0.6× 29 0.4× 34 0.5× 58 0.9× 35 0.7× 55 332
Zhengbing Yan China 14 460 2.8× 34 0.5× 231 3.3× 100 1.6× 28 0.6× 35 593
Guoqing Li China 12 194 1.2× 20 0.3× 133 1.9× 30 0.5× 38 0.8× 41 348
M. Jaṁshidi United States 9 114 0.7× 33 0.5× 32 0.5× 80 1.3× 16 0.3× 42 259
Yunlong Zhu China 8 60 0.4× 32 0.5× 14 0.2× 62 1.0× 52 1.0× 31 270
Carlos Pfeiffer Norway 9 136 0.8× 41 0.6× 80 1.2× 37 0.6× 116 2.3× 33 420

Countries citing papers authored by Mingjie Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingjie Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjie Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjie Li. A scholar is included among the top collaborators of Mingjie Li 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 Mingjie Li. Mingjie Li 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.
Li, Mingjie, et al.. (2025). Dual-mode biosensors based on upconversion nanoparticles and quantum dots combined with a signal amplification strategy for the detection of miRNAs. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 348(Pt 2). 127092–127092.
2.
Zhou, Ping, et al.. (2025). Ironmaking process modeling uncertainty quantification via conformal prediction based on random vector functional link networks. Computers & Electrical Engineering. 123. 110247–110247.
3.
Zhou, Ping, et al.. (2024). Enhanced predictive PDF control of stochastic distribution systems with neural network compensation and its application. Journal of Process Control. 143. 103328–103328.
4.
Li, Mingjie, et al.. (2024). A vector decomposition approach to F–M model realization and its application to robust observed-state feedback control. Journal of the Franklin Institute. 361(8). 106852–106852.
5.
Li, Mingjie, Ping Zhou, & Hong Wang. (2023). Objective PDF-Shaping Based Stochastic Optimization With Probabilistic Constraints and Its Application. IEEE Transactions on Industrial Electronics. 71(3). 3024–3033. 3 indexed citations
6.
Li, Mingjie, Ping Zhou, Liangyong Wang, & Ye Yuan. (2021). Data-Driven Multiobjective Predictive Optimal Control of Refining Process With Non-Gaussian Stochastic Distribution Dynamics. IEEE Transactions on Industrial Informatics. 17(11). 7269–7278. 15 indexed citations
7.
Li, Mingjie, et al.. (2019). Data-Driven Predictive Probability Density Function Control of Fiber Length Stochastic Distribution Shaping in Refining Process. IEEE Transactions on Automation Science and Engineering. 17(2). 633–645. 17 indexed citations
8.
Li, Mingjie, et al.. (2019). The Simulation and Experiment Research on the Influence of Main Parameters of Accumulator on Hydraulic Excitation Table System. Chinese Hydraulics & Pneumatics. 70. 2 indexed citations
9.
Zhou, Ping, et al.. (2019). Robust Online Sequential RVFLNs for Data Modeling of Dynamic Time-Varying Systems With Application of an Ironmaking Blast Furnace. IEEE Transactions on Cybernetics. 50(11). 4783–4795. 43 indexed citations
10.
Cheung, Stephanie, Brigitta Spaeth‐Rublee, Daniel Shalev, et al.. (2019). A Model to Improve Behavioral Health Integration into Serious Illness Care. Journal of Pain and Symptom Management. 58(3). 503–514.e1. 29 indexed citations
11.
Zhou, Ping, Chenyu Wang, Mingjie Li, et al.. (2018). Modeling error PDF optimization based wavelet neural network modeling of dynamic system and its application in blast furnace ironmaking. Neurocomputing. 285. 167–175. 21 indexed citations
12.
Li, Mingjie, Ping Zhou, Hong Wang, & Tianyou Chai. (2018). Geometric Analysis Based Double Closed-Loop Iterative Learning Control of Output PDF Shaping of Fiber Length Distribution in Refining Process. IEEE Transactions on Industrial Electronics. 66(9). 7229–7238. 12 indexed citations
13.
14.
Li, Mingjie, Ping Zhou, Hong Wang, & Tianyou Chai. (2017). Nonlinear Multiobjective MPC-Based Optimal Operation of a High Consistency Refining System in Papermaking. IEEE Transactions on Systems Man and Cybernetics Systems. 50(3). 1208–1215. 17 indexed citations
15.
Zhou, Ping, et al.. (2016). Data‐driven ALS‐SVR‐ARMA 2K modelling with AMPSO parameter optimisation for a high consistency refining system in papermaking. IET Control Theory and Applications. 10(14). 1620–1629. 4 indexed citations
16.
Xu, Jian, et al.. (2016). Optimized algorithms for flexible length-based authenticated skip list. China Communications. 13(1). 124–138. 4 indexed citations
17.
Li, Xiangtao & Mingjie Li. (2015). Multiobjective Local Search Algorithm-Based Decomposition for Multiobjective Permutation Flow Shop Scheduling Problem. IEEE Transactions on Engineering Management. 62(4). 544–557. 41 indexed citations
18.
Li, Mingjie. (2010). Application of Network Maximum Flow Theory in Airport Gate Assignment. 1 indexed citations
19.
20.
Wang, Zhitao, et al.. (2003). Study on passivity-based control of TCSC. 3. 1918–1922. 4 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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