Lingling Zhao

534 citations
30 papers · 361 indexed · h-index 12
Topics
Network Security and Intrusion Detection (10 papers)Internet Traffic Analysis and Secure E-voting (7 papers)EEG and Brain-Computer Interfaces (6 papers)
Partner nations
ChinaCanadaCuba

In The Last Decade

Lingling Zhao

28 papers receiving 346 citations

Peers

Lingling Zhao
Comparison fields: 5 of 92
  • Artificial Intelligence 142
  • Computer Vision and Pattern Recognition 83
  • Computer Networks and Communications 76
  • Information Systems 61
  • Control and Systems Engineering 50
Replace Fatima Alshehri with:
Fatima Alshehri Saudi Arabia
Madhushi Verma India
Prableen Kaur India
T. Jayasankar India
Ahmad Sami Al‐Shamayleh Jordan
Sushma Jaiswal India
Hong Lin United States
Mhd Saeed Sharif United Kingdom
Yuxiang Huan China
Matin Pirouz United States
Lingling Zhao relative to Fatima Alshehri Saudi Arabia Fatima Alshehri's profile →
Citations per field
00.5×3.8×
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Citations per year

Countries citing papers authored by Lingling Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Zhao. A scholar is included among the top collaborators of Lingling Zhao 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 Lingling Zhao. Lingling Zhao 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 4
2 0
3 12
4 15
5 11
6 17
7 0
8 17
9 7
10 2
11 15
12 1
13 13
14 1
15 26
16 2
17 10
18 2
19
Towards An Analysis of Software Supply Chain Risk Management
6
20 10

About Lingling Zhao

Lingling Zhao is a scholar working on Signal Processing, Software and Information Systems, having authored 30 papers that have together received 361 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Internet Traffic Analysis and Secure E-voting (7 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Artificial Intelligence (142 citations), Computer Vision and Pattern Recognition (83 citations) and Signal Processing (41 citations). Lingling Zhao has collaborated with scholars based in China, Canada and Cuba. Frequent co-authors include Tianbo Lu, Xipeng Pan, Huihua Yang, Jinxin Yang, Yongxian Fan, Lingqiao Li, Zhenbing Liu, Li Yang, Yong Peng and Tiejun Liu. Their work appears in journals such as NeuroImage, Langmuir and Neurocomputing.

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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