Michael Li

640 total citations
36 papers, 449 citations indexed

About

Michael Li is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michael Li has authored 36 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 6 papers in Artificial Intelligence and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michael Li's work include Photonic Crystal and Fiber Optics (5 papers), Advanced Fiber Laser Technologies (4 papers) and Neural Networks and Applications (4 papers). Michael Li is often cited by papers focused on Photonic Crystal and Fiber Optics (5 papers), Advanced Fiber Laser Technologies (4 papers) and Neural Networks and Applications (4 papers). Michael Li collaborates with scholars based in Australia, United States and Netherlands. Michael Li's co-authors include Brijesh Verma, Po‐Chun Hsu, Erik C. Garnett, Liangbing Hu, Yuan Yang, Matthew T. McDowell, Yi Cui, Thomas J. Carney, Hui Wu and Lily D. Li and has published in prestigious journals such as ACS Nano, Journal of the American College of Cardiology and Optics Letters.

In The Last Decade

Michael Li

31 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Li Australia 12 218 151 53 46 42 36 449
Jinsong Liu China 11 185 0.8× 110 0.7× 46 0.9× 27 0.6× 37 0.9× 56 416
Wenxin Zhang China 13 109 0.5× 102 0.7× 90 1.7× 44 1.0× 25 0.6× 49 460
Junwoo Park South Korea 13 277 1.3× 127 0.8× 199 3.8× 28 0.6× 32 0.8× 51 601
Zixin Wang China 14 171 0.8× 178 1.2× 40 0.8× 73 1.6× 25 0.6× 67 542
Huadong Wang China 13 165 0.8× 91 0.6× 78 1.5× 11 0.2× 84 2.0× 41 483
Sunghyun Moon South Korea 11 409 1.9× 90 0.6× 91 1.7× 43 0.9× 27 0.6× 35 518
Wei Dang China 11 254 1.2× 45 0.3× 48 0.9× 13 0.3× 58 1.4× 19 490
Miao Wu China 13 142 0.7× 77 0.5× 294 5.5× 34 0.7× 69 1.6× 71 774
Mengwei Li China 12 326 1.5× 140 0.9× 58 1.1× 113 2.5× 9 0.2× 104 530
Juhyun Kim South Korea 12 219 1.0× 82 0.5× 90 1.7× 8 0.2× 25 0.6× 39 565

Countries citing papers authored by Michael Li

Since Specialization
Citations

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

Fields of papers citing papers by Michael Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Li

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Li. A scholar is included among the top collaborators of Michael 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 Michael Li. Michael 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.
Mukherjee, Debabrata, Stephen J. Nicholls, Michael Li, et al.. (2025). EFFICACY AND SAFETY OF BEMPEDOIC ACID IN PATIENTS ≥75 YEARS: ANALYSIS OF CLEAR OUTCOMES. Journal of the American College of Cardiology. 85(12). 2631–2631.
2.
Neupane, Arjun, et al.. (2024). Evaluation of 1D convolutional neural network in estimation of mango dry matter content. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 311. 124003–124003. 17 indexed citations
3.
4.
5.
Huang, Qing, et al.. (2023). A Novel CNN Model for Classification of Chinese Historical Calligraphy Styles in Regular Script Font. Sensors. 24(1). 197–197. 3 indexed citations
6.
7.
Li, Michael & Lily D. Li. (2020). A Novel Method of Curve Fitting Based on Optimized Extreme Learning Machine. Applied Artificial Intelligence. 34(12). 849–865. 14 indexed citations
8.
Li, Wei, William Guo, & Michael Li. (2020). The impact factors on the competence of big data processing. International Journal of Computers and Applications. 44(3). 201–218. 1 indexed citations
9.
Li, Michael, et al.. (2020). Moving to zero: accelerating the transition to zero-emissions transport. 4 indexed citations
10.
Wu, Jingwei, Xiushan Zhu, Chun Xia, et al.. (2019). Investigation of ion-ion interaction effects on Yb3+-doped fiber amplifiers. Optics Express. 27(20). 28179–28179. 4 indexed citations
11.
Southerland, Lauren T., et al.. (2017). Early geriatric consultation increases adherence to TQIP Geriatric Trauma Management Guidelines. Journal of Surgical Research. 216. 56–64. 31 indexed citations
12.
Li, Michael & Brijesh Verma. (2015). Nonlinear curve fitting to stopping power data using RBF neural networks. Expert Systems with Applications. 45. 161–171. 30 indexed citations
13.
Li, Michael, et al.. (2014). Are Residential Customers Price-Responsive to an Inclining Block Rate? Evidence from British Columbia. The Electricity Journal. 27(1). 85–92. 4 indexed citations
14.
15.
Guo, William, et al.. (2010). Approximating nonlinear relations between susceptibility and magnetic contents in rocks using neural networks. Tsinghua Science & Technology. 15(3). 281–287. 5 indexed citations
16.
17.
Zhao, Jing, et al.. (2009). Low cost molded optics for IR imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7298. 72983J–72983J. 1 indexed citations
18.
Li, Michael, William Guo, Brijesh Verma, Kevin S. Tickle, & D.J. O’Connor. (2008). Intelligent methods for solving inverse problems of backscattering spectra with noise: a comparison between neural networks and simulated annealing. Neural Computing and Applications. 18(5). 423–430. 15 indexed citations
19.
Li, Michael, Brijesh Verma, Xiaolong Fan, & Kevin S. Tickle. (2007). RBF neural networks for solving the inverse problem of backscattering spectra. Neural Computing and Applications. 17(4). 391–397. 20 indexed citations
20.
Li, Michael, Xiaolong Fan, & Kevin S. Tickle. (2006). Principal component analysis and neural networks for analysis of complex spectral data from ion backscattering. Figshare. 228–234. 3 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 Jinsong Liu Breakdown of academic impact, for papers by Wenxin Zhang Breakdown of academic impact, for papers by Junwoo Park Breakdown of academic impact, for papers by Zixin Wang Breakdown of academic impact, for papers by Huadong Wang Breakdown of academic impact, for papers by Sunghyun Moon Breakdown of academic impact, for papers by Wei Dang Breakdown of academic impact, for papers by Miao Wu Breakdown of academic impact, for papers by Mengwei Li Breakdown of academic impact, for papers by Juhyun Kim
Rankless by CCL
2026