Binbin Liu

405 citations
20 papers · 236 · h-index 8

Impact in

Papers in

    • Adversarial Robustness in Machine Learning 4
    • Anomaly Detection Techniques and Applications 2
    • Metaheuristic Optimization Algorithms Research 2
    • Software Engineering Research 2
    • Cloud Computing and Resource Management 2

Binbin Liu

17 papers receiving 230 citations

Peers

Binbin Liu
Comparison fields: 5 of 66
  • Geology 29
  • Computer Graphics and Computer-Aided Design 16
  • Artificial Intelligence 109
  • Computer Vision and Pattern Recognition 67
  • Computational Mechanics 55
Replace Zhenbo Xu with:
Zhenbo Xu China
Yewen Pu United States
Daniel Berjón Spain
Yinghong Liao China
Kimmo Roimela Finland
Hanbing Yan China
Francisco Morán Spain
Binbin Liu relative to Zhenbo Xu China Zhenbo Xu's profile →
Citations per field
00.5×2.7×
Zhenbo Xu · 1×
Citations per year

Countries citing papers authored by Binbin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Binbin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202276
2 201430
3 202229
4 202324
5 201515
6 202314
7 202112
8 20168
9 20227
10 20204
11
MBA-Blast: Unveiling and Simplifying Mixed Boolean-Arithmetic Obfuscation
20214
12 20204
13 20173
14 20112
15 20252
16 20211
17 20091
18 20240
19 20200
20 20210

About Binbin Liu

Binbin Liu is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Molecular Biology and Computational Theory and Mathematics, having authored 20 papers that have together received 236 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (4 papers), Software Testing and Debugging Techniques (3 papers), Evacuation and Crowd Dynamics (2 papers), Anomaly Detection Techniques and Applications (2 papers), Software Engineering Research (2 papers), Cloud Computing and Resource Management (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Geology (29 citations), Computer Graphics and Computer-Aided Design (16 citations), Artificial Intelligence (109 citations), Computer Vision and Pattern Recognition (67 citations) and Computational Mechanics (55 citations). Binbin Liu has collaborated with scholars based in China and United States. Frequent co-authors include Jihong Zhu, Jinlai Zhang, Yanmei Meng, Bo Ouyang, Y. Chen, Yihong Xu, Gang Xu, Jianrong Zhang, Linqin Cai and Jimin Yu. Their work appears in journals such as Multimedia Tools and Applications, Neurocomputing, Information Sciences, IEEE Transactions on Information Forensics and Security and Journal of Computational and Applied Mathematics.

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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