Yuling Luo

2.8k citations
103 papers · 2.1k · h-index 25

Impact in

Papers in

Yuling Luo

90 papers receiving 2.1k citations

Peers

Yuling Luo
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 1.3k
  • Statistical and Nonlinear Physics 246
  • Cognitive Neuroscience 342
  • Computational Theory and Mathematics 279
  • Artificial Intelligence 544
Replace Abdennaceur Kachouri with:
Abdennaceur Kachouri Tunisia
Mohit Dua India
Raphaël C.‐W. Phan Malaysia
Tong Zhang China
Enzeng Dong China
Jim Harkin United Kingdom
Mourad Zaied Tunisia
Zhenjun Tang China
Enrique Efrén García-Guerrero Mexico
Talal Bonny United Arab Emirates
Yuling Luo relative to Abdennaceur Kachouri Tunisia Abdennaceur Kachouri's profile →
Citations per field
00.5×1.5×2.3×
Abdennaceur Kachouri · 1×
Citations per year

Countries citing papers authored by Yuling Luo

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuling Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuling Luo Line = papers co-authored together Yuling Luo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020169
2 2014131
3 2019128
4 2019125
5 2020122
6 2019117
7 2018100
8 202194
9 201992
10 201781
11 201569
12 201866
13 202048
14 201948
15 202040
16 202037
17 202229
18 201129
19 201829
20 202028

About Yuling Luo

Yuling Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Computational Theory and Mathematics, having authored 103 papers that have together received 2.1k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (40 papers), Advanced Steganography and Watermarking Techniques (21 papers), Advanced Memory and Neural Computing (21 papers), Cryptographic Implementations and Security (15 papers), Cellular Automata and Applications (13 papers), Neuroscience and Neural Engineering (12 papers), Chaos control and synchronization (10 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Statistical and Nonlinear Physics (246 citations), Cognitive Neuroscience (342 citations), Computational Theory and Mathematics (279 citations) and Artificial Intelligence (544 citations). Yuling Luo has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Junxiu Liu, Lvchen Cao, Yi Cao, Senhui Qiu, Su Yang, Minghui Du, Jim Harkin, Xuemei Ding, Yifei Bi and Duqu Wei. Their work appears in journals such as Neurocomputing, International Journal of Bifurcation and Chaos, IEEE Access, Expert Systems with Applications and Information Sciences.

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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