Jinglei Liu

3.1k citations
93 papers · 2.2k indexed · 2 hit papers · h-index 23
Topics
Face and Expression Recognition (15 papers)Data Management and Algorithms (12 papers)Rough Sets and Fuzzy Logic (9 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaCell Metabolism
Partner nations
ChinaUnited StatesChile

In The Last Decade

Jinglei Liu

79 papers receiving 2.2k citations

Hit Papers

A peptide encoded by circular form of LINC-PINT suppresse...201820262020202320182021100200300400500

Peers

Jinglei Liu
Comparison fields: 5 of 158
  • Molecular Biology 1.6k
  • Cancer Research 1.1k
  • Artificial Intelligence 161
  • Oncology 127
  • Computer Vision and Pattern Recognition 108
Replace Tingting He with:
Tingting He China
Lin Gao China
Zhengjie Huang China
Tomohiro Yoshikawa Japan
Pengyi Yang Australia
José A. Seoane Spain
Ina Koch Germany
Jianhua Xuan United States
Daisuke Yamamoto Japan
Jinglei Liu relative to Tingting He China Tingting He's profile →
Citations per field
00.5×3.1×
Tingting He · 1×
Citations per year

Countries citing papers authored by Jinglei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jinglei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinglei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinglei Liu. A scholar is included among the top collaborators of Jinglei Liu 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 Jinglei Liu. Jinglei Liu 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
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 4
6 5
7 11
8 2
9 8
10 1
11 6
12 40
13 17
14 11
15
A peptide encoded by circular form of LINC-PINT suppresses oncogenic transcriptional elongation in glioblastomabreakdown →
548
16 1
17
Construction of a GAI Tree with Hypergraph Decompositions
1
18 63
19
Inhibition of survivin expression and mechanisms of reversing drug-resistance of human lung adenocarcinoma cells by siRNA.
22
20 23

About Jinglei Liu

Jinglei Liu is a scholar working on Signal Processing, Media Technology and Computer Vision and Pattern Recognition, having authored 93 papers that have together received 2.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (15 papers), Data Management and Algorithms (12 papers) and Rough Sets and Fuzzy Logic (9 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (1.6k citations) and Signal Processing (72 citations). Jinglei Liu has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Feiya Li, Burton B. Yang, Alina T. He, Kun Zhao, Nu Zhang, Nunu Huang, Yanwei Yu, Ping Wei, Suyun Huang and Jiang Ji. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Cell Metabolism.

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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