Lei Li

12.1k total citations · 3 hit papers
284 papers, 6.0k citations indexed

About

Lei Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Lei Li has authored 284 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Artificial Intelligence, 87 papers in Computer Vision and Pattern Recognition and 26 papers in Electrical and Electronic Engineering. Recurrent topics in Lei Li's work include Topic Modeling (96 papers), Natural Language Processing Techniques (92 papers) and Multimodal Machine Learning Applications (41 papers). Lei Li is often cited by papers focused on Topic Modeling (96 papers), Natural Language Processing Techniques (92 papers) and Multimodal Machine Learning Applications (41 papers). Lei Li collaborates with scholars based in China, United States and Japan. Lei Li's co-authors include Christos Faloutsos, Tao Kong, Hao Zhou, Rufeng Zhang, Mingxuan Wang, Changhu Wang, Masayoshi Tomizuka, Yi Jiang, Peize Sun and Wei Zhan and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Lei Li

256 papers receiving 5.7k citations

Hit Papers

Sparse R-CNN: End-to-End Object ... 2013 2026 2017 2021 2021 2020 2013 250 500 750

Peers

Lei Li
Comparison fields: 5 of 178
  • Artificial Intelligence 2.8k
  • Computer Vision and Pattern Recognition 2.0k
  • Electrical and Electronic Engineering 669
  • Information Systems 517
  • Statistical and Nonlinear Physics 400
Replace Fuzhen Zhuang with:
Fuzhen Zhuang China
Rui Xu China
Ruili Wang New Zealand
Haijun Zhang China
Hengshu Zhu China
Shai Ben-David Israel
Hui Fan China
Guo-Jun Qi United States
Razvan Pascanu United States
Bo Liu China
Fuzhen Zhuang 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 45
3 1
4 8
5 1
6 12
7 7
8 0
9 5
10 6
11 5
12 22
13 51
14 41
15 2
16 20
17 1
18 7
19
SOLOv2: Dynamic and Fast Instance Segmentation
25
20 13

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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