Mu Li

1.2k total citations · 1 hit paper
27 papers, 637 citations indexed

About

Mu Li is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Mu Li has authored 27 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Control and Systems Engineering. Recurrent topics in Mu Li's work include Service-Oriented Architecture and Web Services (4 papers), Chaos control and synchronization (4 papers) and Topic Modeling (3 papers). Mu Li is often cited by papers focused on Service-Oriented Architecture and Web Services (4 papers), Chaos control and synchronization (4 papers) and Topic Modeling (3 papers). Mu Li collaborates with scholars based in China, United Kingdom and United States. Mu Li's co-authors include Yuqiang Chen, Alexander J. Smola, Tong Zhang, Shuangzhi Wu, Jinpeng Huai, Dongdong Zhang, Zhoujun Li, Nan Yang, Gao Yong and Jianhua Lu and has published in prestigious journals such as Frontiers in Immunology, Information Sciences and SIAM Journal on Scientific Computing.

In The Last Decade

Mu Li

22 papers receiving 597 citations

Hit Papers

Efficient mini-batch training for stochastic optimization 2014 2026 2018 2022 2014 100 200 300 400

Peers

Mu Li
Comparison fields: 5 of 110
  • Artificial Intelligence 366
  • Computer Vision and Pattern Recognition 131
  • Information Systems 83
  • Computer Networks and Communications 75
  • Electrical and Electronic Engineering 75
Replace Riadh Ksantini with:
Riadh Ksantini Canada
Rohan Varma United States
Jie Guo China
Haifeng Jin China
Yunfeng Liu China
Hwanjun Song South Korea
Nikhil Ketkar United States
Olivier Breuleux Canada
Bin Tang China
Riadh Ksantini Canada View profile →
Citations per field, relative to Mu Li
Mu Li · 1×
Citations per year, relative to Mu Li
Mu Li · 1×

Countries citing papers authored by Mu Li

Since Specialization
Citations

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

Fields of papers citing papers by Mu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mu Li. A scholar is included among the top collaborators of Mu 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 Mu Li. Mu 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
# Work Indexed citations
1 1
2 0
3 1
4 0
5 27
6 15
7
CSER: Communication-efficient SGD with Error Reset.
6
8 6
9 0
10
An Improved Wavelet Threshold Denoising Algorithm for Analysing Signals in the XRD Spectrum
2
11
Efficient mini-batch training for stochastic optimization breakdown →
472
12
Punctuation Prediction with Transition-based Parsing
18
13 5
14 5
15 1
16 14
17
Chaotic time series prediction based on ANFIS with adaptive mutation differential evolution algorithm
3
18 2
19 17
20
A parallel hybrid genetic algorithm of sovling knapsack problem
1

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

Rankless by CCL
2026