Xiaozhang Liu

595 total citations
24 papers, 414 citations indexed

About

Xiaozhang Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Xiaozhang Liu has authored 24 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Xiaozhang Liu's work include Adversarial Robustness in Machine Learning (11 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Advanced Neural Network Applications (4 papers). Xiaozhang Liu is often cited by papers focused on Adversarial Robustness in Machine Learning (11 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Advanced Neural Network Applications (4 papers). Xiaozhang Liu collaborates with scholars based in China, Singapore and Hong Kong. Xiaozhang Liu's co-authors include Jinliang Zhu, Pei Kang Shen, Hongyang Yan, Li Hu, Lang Li, Shan Ai, Sheng Hong, Hongwei Ye, Dejian Wang and Tao Li and has published in prestigious journals such as Advanced Functional Materials, Information Sciences and Lecture notes in computer science.

In The Last Decade

Xiaozhang Liu

23 papers receiving 408 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaozhang Liu China 10 172 105 85 52 41 24 414
Bang Liu China 13 240 1.4× 67 0.6× 94 1.1× 58 1.1× 54 1.3× 55 451
Bingzhe Wu China 12 267 1.6× 54 0.5× 80 0.9× 52 1.0× 65 1.6× 33 455
Jiangtao Ma China 11 158 0.9× 30 0.3× 52 0.6× 31 0.6× 68 1.7× 38 387
Rex Ying United States 11 282 1.6× 68 0.6× 100 1.2× 27 0.5× 56 1.4× 36 441
Alhussein Fawzi United Kingdom 3 171 1.0× 46 0.4× 35 0.4× 38 0.7× 24 0.6× 5 377
Qi Xia China 12 284 1.7× 176 1.7× 97 1.1× 180 3.5× 103 2.5× 30 639
Yi Zhu China 15 370 2.2× 47 0.4× 124 1.5× 55 1.1× 150 3.7× 87 577
Jinqing Li China 14 142 0.8× 30 0.3× 280 3.3× 95 1.8× 62 1.5× 49 521
Akshay Jain Spain 10 126 0.7× 164 1.6× 87 1.0× 148 2.8× 35 0.9× 21 396

Countries citing papers authored by Xiaozhang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaozhang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaozhang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaozhang Liu. A scholar is included among the top collaborators of Xiaozhang Liu 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 Xiaozhang Liu. Xiaozhang Liu 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
1.
Liu, Xiaozhang, et al.. (2024). Explanation-Guided Adversarial Example Attacks. Big Data Research. 36. 100451–100451. 3 indexed citations
2.
Liu, Xiaozhang, et al.. (2024). Adaptive Threshold Learning in Frequency Domain for Classification of Breast Cancer Histopathological Images. International Journal of Intelligent Systems. 2024. 1–13. 12 indexed citations
3.
Liu, Xiaozhang, et al.. (2023). Explanation leaks: Explanation-guided model extraction attacks. Information Sciences. 632. 269–284. 12 indexed citations
4.
Yan, Hongyang, et al.. (2023). Explanation-based data-free model extraction attacks. World Wide Web. 26(5). 3081–3092. 3 indexed citations
5.
Hu, Zhuhua, et al.. (2023). Ship Detection and Recognition Based on Improved YOLOv7. Computers, materials & continua/Computers, materials & continua (Print). 76(1). 489–498. 20 indexed citations
6.
Liu, Xiaozhang, et al.. (2023). ADDA: An Adversarial Direction-Guided Decision-Based Attack via Multiple Surrogate Models. Mathematics. 11(16). 3613–3613. 1 indexed citations
7.
Yan, Hongyang, et al.. (2023). Holistic Implicit Factor Evaluation of Model Extraction Attacks. IEEE Transactions on Dependable and Secure Computing. 20(6). 4678–4689. 3 indexed citations
8.
Ye, Hongwei & Xiaozhang Liu. (2022). Feature autoencoder for detecting adversarial examples. International Journal of Intelligent Systems. 37(10). 7459–7477. 5 indexed citations
9.
Liu, Xiaozhang, et al.. (2022). Phase Evolution of VC‐VO Heterogeneous Particles to Facilitate Sulfur Species Conversion in Li−S Batteries. Advanced Functional Materials. 33(3). 82 indexed citations
10.
Liu, Xiaozhang, et al.. (2022). Towards explainable model extraction attacks. International Journal of Intelligent Systems. 37(11). 9936–9956. 3 indexed citations
11.
Wang, Xueyang & Xiaozhang Liu. (2021). Enhancing Robustness of Classifiers Based on PCA. 336–341.
12.
Cheng, Jieren, et al.. (2021). Cyberspace Safety and Security. Lecture notes in computer science. 4 indexed citations
13.
Liu, Xiaozhang, et al.. (2021). An Explanatory Strategy for Reducing the Risk of Privacy Leaks. 3(4). 181–192. 1 indexed citations
14.
Liu, Xiaozhang, et al.. (2021). Dual attention guided multi-scale CNN for fine-grained image classification. Information Sciences. 573. 37–45. 25 indexed citations
15.
Liu, Xiaozhang, et al.. (2021). Kernel-based adversarial attacks and defenses on support vector classification. Digital Communications and Networks. 8(4). 492–497. 6 indexed citations
16.
Liu, Xiaozhang, et al.. (2020). A computational approach for predicting drug–target interactions from protein sequence and drug substructure fingerprint information. International Journal of Intelligent Systems. 36(1). 593–609. 14 indexed citations
17.
Liu, Xiaozhang, et al.. (2020). Video frame interpolation via optical flow estimation with image inpainting. International Journal of Intelligent Systems. 35(12). 2087–2102. 9 indexed citations
18.
Liu, Xiaozhang, et al.. (2020). Querying little is enough: Model inversion attack via latent information. International Journal of Intelligent Systems. 36(2). 681–690. 14 indexed citations
19.
20.
Gao, Cheng, et al.. (2011). A model for predicting the obsolescence trend of FPGA. 1354–1358. 7 indexed citations

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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Breakdown of academic impact, for papers by Bang Liu Breakdown of academic impact, for papers by Bingzhe Wu Breakdown of academic impact, for papers by Jiangtao Ma Breakdown of academic impact, for papers by Rex Ying Breakdown of academic impact, for papers by Alhussein Fawzi Breakdown of academic impact, for papers by Qi Xia Breakdown of academic impact, for papers by Yi Zhu Breakdown of academic impact, for papers by Jinqing Li Breakdown of academic impact, for papers by Akshay Jain
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