Lei Li

3.8k total citations
237 papers, 2.3k citations indexed

About

Lei Li is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Lei Li has authored 237 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Artificial Intelligence, 70 papers in Information Systems and 55 papers in Computer Networks and Communications. Recurrent topics in Lei Li's work include Complex Network Analysis Techniques (31 papers), Advanced Graph Neural Networks (22 papers) and Text and Document Classification Technologies (17 papers). Lei Li is often cited by papers focused on Complex Network Analysis Techniques (31 papers), Advanced Graph Neural Networks (22 papers) and Text and Document Classification Technologies (17 papers). Lei Li collaborates with scholars based in China, United States and Australia. Lei Li's co-authors include Yan Wang, Ian Horrocks, Xindong Wu, Guanfeng Liu, Mehmet A. Orgun, Lie Qu, Xuegang Hu, Chunxiao Chigan, B. Aditya Prakash and Yue Wang and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and Biochemical and Biophysical Research Communications.

In The Last Decade

Lei Li

206 papers receiving 2.1k citations

Peers

Lei Li
Comparison fields: 5 of 152
  • Artificial Intelligence 1.0k
  • Information Systems 784
  • Computer Networks and Communications 585
  • Computer Vision and Pattern Recognition 293
  • Signal Processing 230
Replace Zheng Li with:
Zheng Li China
Ruixuan Li China
A.C.M. Fong New Zealand
Guisheng Yin China
Fei Hao China
Min Gao China
Zhiyong Feng China
Mirjana Ivanović Serbia
Md Zahidul Islam Australia
Qi Yu United States
Zheng Li China View profile →
Citations per field, relative to Lei Li
Lei Li · 1×
Citations per year, relative to Lei Li
Lei Li · 1×

Countries citing papers authored by Lei Li

Since Specialization
Citations

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

Fields of papers citing papers by Lei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Li. A scholar is included among the top collaborators of Lei 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 Lei Li. Lei 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 0
2 1
3 2
4 0
5 0
6 5
7 2
8 6
9 7
10 13
11 11
12
BRITS: Bidirectional Recurrent Imputation for Time Series
46
13 2
14
Can IoT Devices Be Trusted? An Exploratory Study
2
15 25
16 0
17
Time Series Clustering: Complex is Simpler!
42
18
The improvement of the forecasting model of short-term traffic flow based on wavelet and ARMA
2
19 4
20
Analysis on the actuality and development stratagem of the high-tech industry structure of our country
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.

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