Hailong Liu

662 citations
24 papers · 511 indexed · 1 hit paper · h-index 7

Hailong Liu

20 papers receiving 501 citations

Hit Papers

An Improved Quantum-Inspired Differential Evolution Algor...3772020202620222024100200300

Peers

Hailong Liu
Comparison fields: 5 of 96
  • Control and Systems Engineering 137
  • Artificial Intelligence 189
  • Computer Vision and Pattern Recognition 102
  • Computational Theory and Mathematics 66
  • Hardware and Architecture 22
Replace Bo Mi with:
Bo Mi China
Agustín Jiménez Spain
Wenjun Li China
Yongsheng Hao China
Junnan Li China
Ricardo Tanscheit Brazil
Nannan Lu China
Saleh Zein-Sabatto United States
Longhua Ma China
Chang Sun China
Hailong Liu relative to Bo Mi China Bo Mi's profile →
Citations per field
00.5×3.1×
Bo Mi · 1×
Citations per year

Countries citing papers authored by Hailong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hailong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20231
5 20221
6 20213
7
An Improved Quantum-Inspired Differential Evolution Algorithm for Deep Belief Networkbreakdown →
2020377
8 20190
9 20185
10 20186
11 201815
12 201710
13 20179
14 201649
15 20141
16 20100
17 20044
18 20044
19
Trust Issues in PGP and Solutions
20032
20 20039

About Hailong Liu

Hailong Liu is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Human-Computer Interaction, having authored 24 papers that have together received 511 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (4 papers), Graph Labeling and Dimension Problems (3 papers), Physical Unclonable Functions (PUFs) and Hardware Security (3 papers), Cellular Automata and Applications (3 papers), Graph theory and applications (3 papers), Machine Learning and ELM (2 papers), Advanced Memory and Neural Computing (2 papers) and Cryptographic Implementations and Security (2 papers). The work is most often cited by research in Control and Systems Engineering (137 citations), Artificial Intelligence (189 citations) and Computer Vision and Pattern Recognition (102 citations). Hailong Liu has collaborated with scholars based in China, Japan and Germany. Frequent co-authors include Wu Deng, Huimin Zhao, Yingjie Song, Junjie Xu, Weiyu Lan, Xirong Li, Jianfeng Dong, Liang Sun, Zhenglin Liu and Zhaojun Lu. Their work appears in journals such as Japanese Journal of Applied Physics, Agronomy, IEEE Transactions on Instrumentation and Measurement, Applied Sciences and Sensors.

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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