Yuling Liu

965 citations
64 papers · 571 · h-index 14

Impact in

Papers in

Yuling Liu

54 papers receiving 525 citations

Peers

Yuling Liu
Comparison fields: 5 of 121
  • Computer Vision and Pattern Recognition 159
  • Information Systems 128
  • Signal Processing 60
  • Artificial Intelligence 139
  • Computer Networks and Communications 94
Replace Kyungtae Kang with:
Kyungtae Kang South Korea
Heyuan Shi China
Lei Zhong Japan
Liji Wu China
Zhanshan Li China
Binh T. Nguyen Vietnam
I. Jeena Jacob India
Suphakant Phimoltares Thailand
Hani Moaiteq Aljahdali Saudi Arabia
Farzin Yaghmaee Iran
Yuling Liu relative to Kyungtae Kang South Korea Kyungtae Kang's profile →
Citations per field
00.5×5.5×
Kyungtae Kang · 1×
Citations per year

Countries citing papers authored by Yuling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuling Liu, 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 Liu Line = papers co-authored together Yuling Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201949
2 202146
3 202345
4 201534
5 202031
6 202030
7 201828
8 202123
9 201121
10 202417
11 201116
12 201815
13 202115
14 202314
15 202013
16 201813
17 201913
18 202112
19 201010
20 20219

About Yuling Liu

Yuling Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Signal Processing, having authored 64 papers that have together received 571 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (15 papers), Internet Traffic Analysis and Secure E-voting (11 papers), Network Security and Intrusion Detection (9 papers), Cryptography and Data Security (7 papers), Advanced Malware Detection Techniques (6 papers), Chaos-based Image/Signal Encryption (6 papers), Digital Media Forensic Detection (5 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (159 citations), Information Systems (128 citations), Signal Processing (60 citations), Artificial Intelligence (139 citations) and Computer Networks and Communications (94 citations). Yuling Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhangjie Fu, Xingming Sun, Long Chen, Jie Wang, Hao Hu, Hua Peng, Jun Ye, Yu Feng, Yanfang Yang and Yue Gao. Their work appears in journals such as Cybersecurity, Computers, materials & continua/Computers, materials & continua (Print), Scientific Reports, The Journal of Development Studies and Frontiers in Nutrition.

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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