Mingjun Li

417 total citations
25 papers, 335 citations indexed

About

Mingjun Li is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Civil and Structural Engineering. According to data from OpenAlex, Mingjun Li has authored 25 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 6 papers in Computational Mechanics and 5 papers in Civil and Structural Engineering. Recurrent topics in Mingjun Li's work include Optical Network Technologies (7 papers), Energy Load and Power Forecasting (4 papers) and Lattice Boltzmann Simulation Studies (3 papers). Mingjun Li is often cited by papers focused on Optical Network Technologies (7 papers), Energy Load and Power Forecasting (4 papers) and Lattice Boltzmann Simulation Studies (3 papers). Mingjun Li collaborates with scholars based in China, United States and Japan. Mingjun Li's co-authors include Haizhuan Yuan, Xiaodong Niu, Shi Shu, Junxing Wang, Hiroshi Yamaguchi, Yang Hu, Xin Chen, Xiang Qin, Huaqing Li and Bin Luo and has published in prestigious journals such as Energy, Applied Mathematics and Computation and Computers & Mathematics with Applications.

In The Last Decade

Mingjun Li

19 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingjun Li China 9 172 148 51 35 30 25 335
Jinglei Xu China 9 282 1.6× 71 0.5× 17 0.3× 94 2.7× 7 0.2× 36 432
Amir Teimourian Cyprus 11 51 0.3× 118 0.8× 29 0.6× 76 2.2× 4 0.1× 18 392
Peter Hauge Madsen United Kingdom 11 34 0.2× 121 0.8× 85 1.7× 83 2.4× 59 2.0× 29 370
Rasool Erfani United Kingdom 11 109 0.6× 144 1.0× 18 0.4× 5 0.1× 6 0.2× 24 354
Wang Qiang China 13 228 1.3× 35 0.2× 16 0.3× 40 1.1× 7 0.2× 57 463
Paweł Olszewski Poland 11 18 0.1× 65 0.4× 56 1.1× 39 1.1× 10 0.3× 24 466
Tao Guo China 10 151 0.9× 34 0.2× 79 1.5× 33 0.9× 6 0.2× 62 477
Karim Abu Salem Italy 14 63 0.4× 60 0.4× 25 0.5× 16 0.5× 40 1.3× 45 526
Jun Long China 10 191 1.1× 15 0.1× 50 1.0× 11 0.3× 12 0.4× 22 310
J.S. Carlton United Kingdom 9 18 0.1× 80 0.5× 31 0.6× 26 0.7× 3 0.1× 28 221

Countries citing papers authored by Mingjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjun Li. A scholar is included among the top collaborators of Mingjun 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 Mingjun Li. Mingjun 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, Mingjun, et al.. (2025). An offshore wind speed forecasting system based on feature enhancement, deep time series clustering, and extended LSTM. Energy. 333. 137335–137335. 1 indexed citations
2.
3.
Li, Bingyan, Zhengyi Shao, Kequan Zhang, et al.. (2025). Construction of a new multi-layer stacked model for precipitable water vapor prediction. Theoretical and Applied Climatology. 156(9). 1 indexed citations
4.
Yang, Chenglin, et al.. (2025). Ultra-short-term wind speed hybrid forecasting model based on maximal information coefficient-optimized TVF-EMD and resTKAN. Earth Science Informatics. 18(4). 2 indexed citations
5.
Yang, Chenglin, Wenyu Zhang, Bingyan Li, & Mingjun Li. (2024). Ultra-Short-Term Wind Speed Prediction Based on the Hybrid Model of Secondary Decomposition and Informer. 64–69. 1 indexed citations
6.
7.
Li, Mingjun, et al.. (2021). A Deformation Prediction Model of High Arch Dams in the Initial Operation Period Based on PSR-SVM-IGWO. Mathematical Problems in Engineering. 2021. 1–13. 6 indexed citations
8.
Zhang, Rongpei, Xijun Yu, & Mingjun Li. (2021). A weighted discontinuous Galerkin method for diffusion equations with non-smooth coefficients on distorted polygonal meshes. Scientia Sinica Mathematica. 52(7). 809–809. 2 indexed citations
9.
Chen, Xin, Kangmei Li, C.S. Tsai, et al.. (2021). 850-nm Dual-Mode VCSEL Carried 53-Gbps NRZ- OOK Transmission in 100-m Graded-Index Single-Mode Fiber. Tu5C.3–Tu5C.3. 1 indexed citations
10.
Xue, Liming, et al.. (2021). Carbon emission efficiency and spatio-temporal dynamic evolution of the cities in Beijing-Tianjin-Hebei Region, China. Environment Development and Sustainability. 24(6). 7640–7664. 26 indexed citations
11.
Li, Mingjun, et al.. (2021). Dam Deformation Prediction Based on Modified Grey Wolf Optimization Algorithm and Support Vector Machine. Journal of Physics Conference Series. 2005(1). 12084–12084. 1 indexed citations
12.
13.
Li, Mingjun & Junxing Wang. (2019). An Empirical Comparison of Multiple Linear Regression and Artificial Neural Network for Concrete Dam Deformation Modelling. Mathematical Problems in Engineering. 2019(1). 39 indexed citations
14.
Yuan, Haizhuan, Xiaodong Niu, Shi Shu, Mingjun Li, & Hiroshi Yamaguchi. (2014). A momentum exchange-based immersed boundary-lattice Boltzmann method for simulating a flexible filament in an incompressible flow. Computers & Mathematics with Applications. 67(5). 1039–1056. 97 indexed citations
15.
Hu, Yang, Haizhuan Yuan, Shi Shu, Xiaodong Niu, & Mingjun Li. (2014). An improved momentum exchanged-based immersed boundary–lattice Boltzmann method by using an iterative technique. Computers & Mathematics with Applications. 68(3). 140–155. 69 indexed citations
16.
Ip, Ezra, et al.. (2013). Components for Future Optical Networks Based on Few-Mode Fiber. Asia Communications and Photonics Conference 2013. 24. AW3G.3–AW3G.3. 1 indexed citations
17.
Butler, Douglas L., et al.. (2013). Multicore optical fiber and connectors for high bandwidth density, short reach optical links. 9–10. 11 indexed citations
18.
Yamaguchi, Hiroshi, et al.. (2010). Study of Forced Convection Heat Transfer of Supercritical CO<sub>2</sub> in a Horizontal Channel by Lattice Boltzmann Method. Advances in Applied Mathematics and Mechanics. 2(5). 564–572. 1 indexed citations
19.
Chen, Xin, Mingjun Li, Natesan Venkataraman, et al.. (2005). Highly birefringent hollow-core photonic bandgap fiber. OFC/NFOEC Technical Digest. Optical Fiber Communication Conference, 2005.. 3 pp. Vol. 2–3 pp. Vol. 2. 23 indexed citations
20.
Chen, Xin, Mingjun Li, & Daniel A. Nolan. (2004). Spun fibers for low PMD: understanding of fundamental characteristics. 19. TuB1.1/27–TuB1.1/28. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jinglei Xu Breakdown of academic impact, for papers by Amir Teimourian Breakdown of academic impact, for papers by Peter Hauge Madsen Breakdown of academic impact, for papers by Rasool Erfani Breakdown of academic impact, for papers by Wang Qiang Breakdown of academic impact, for papers by Paweł Olszewski Breakdown of academic impact, for papers by Tao Guo Breakdown of academic impact, for papers by Karim Abu Salem Breakdown of academic impact, for papers by Jun Long Breakdown of academic impact, for papers by J.S. Carlton
Rankless by CCL
2026