Chenchen Liu

727 total citations
27 papers, 401 citations indexed

About

Chenchen Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Chenchen Liu has authored 27 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Chenchen Liu's work include Advanced Neural Network Applications (11 papers), Adversarial Robustness in Machine Learning (9 papers) and Advanced Memory and Neural Computing (4 papers). Chenchen Liu is often cited by papers focused on Advanced Neural Network Applications (11 papers), Adversarial Robustness in Machine Learning (9 papers) and Advanced Memory and Neural Computing (4 papers). Chenchen Liu collaborates with scholars based in United States, China and Hong Kong. Chenchen Liu's co-authors include Zhuwei Qin, Xiang Chen, Fuxun Yu, Xiang Chen, Youmei Wang, Yun‐Fang Tu, Zirui Xu, Di Wang, Yanzhi Wang and Liang Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Internet of Things Journal and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Chenchen Liu

26 papers receiving 388 citations

Peers

Chenchen Liu

CVPR

EEE

CSA

CNC

Qionghao Huang China

Ivano Lauriola Italy

Sumit Pandey India

George F. Fragulis Greece

Md Kamruzzaman Sarker United States

Haoyang Li China

Deepali Vora India

Ashraf Y. A. Maghari Palestinian Territory

Andrew Ng United States

Abdul Hadi M. Alaidi Iraq

Qionghao Huang China

Chenchen Liu

259 ×1.4

211 ×1.8

CVPR

25 ×0.4

EEE

120 ×2.5

CSA

48 ×1.3

CNC

Citations per year, relative to Chenchen Liu Chenchen Liu (= 1×) peers Qionghao Huang

Countries citing papers authored by Chenchen Liu

Since Specialization

Citations

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

Fields of papers citing papers by Chenchen Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenchen Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenchen Liu. A scholar is included among the top collaborators of Chenchen 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 Chenchen Liu. Chenchen Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Man‐Qun, Wanlu Liu, Yumei Wang, et al.. (2025). Unraveling amino acid sequence features that confer high calcium-binding capacity to soybean peptides and improve absorption in caco-2 cells. Journal of Functional Foods. 130. 106898–106898. 1 indexed citations

Xu, Chenhui, Fuxun Yu, Zirui Xu, et al.. (2024). QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. 19–25. 1 indexed citations

Xu, Zirui, Fuxun Yu, Chenchen Liu, & Xiang Chen. (2022). LanCeX: A Versatile and Lightweight Defense Method against Condensed Adversarial Attacks in Image and Audio Recognition. ACM Transactions on Embedded Computing Systems. 22(1). 1–24. 2 indexed citations

Yu, Fuxun, Zirui Xu, Chenchen Liu, et al.. (2022). AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(11). 4694–4707. 3 indexed citations

Liu, Chenchen, Wenyi Zhang, & Yang Yang. (2022). Ternary perfect sequences with three-valued cross-correlation. Advances in Mathematics of Communications. 16(4). 893–901.

Yu, Yongbo, Zirui Xu, Di Wang, et al.. (2022). Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing. 567–571. 3 indexed citations

Qin, Zhuwei, Fuxun Yu, Zirui Xu, Chenchen Liu, & Xiang Chen. (2021). CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(3). 530–543. 2 indexed citations

Wang, Youmei, Chenchen Liu, & Yun‐Fang Tu. (2021). Factors Affecting the Adoption of AI-based Applications in Higher Education: An Analysis of Teachers’ Perspectives using Structural Equation Modeling. SHILAP Revista de lepidopterología. 65 indexed citations

Yu, Fuxun, Di Wang, Longfei Shangguan, et al.. (2021). Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. Maryland Shared Open Access Repository (USMAI Consortium). 1–9. 26 indexed citations

10.

Yu, Fuxun, et al.. (2020). REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(6). 1258–1271. 21 indexed citations

11.

Xu, Zirui, Fuxun Yu, Zhuwei Qin, Chenchen Liu, & Xiang Chen. (2020). DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(2). 246–259. 11 indexed citations

12.

Yu, Fuxun, Chenchen Liu, Di Wang, Yanzhi Wang, & Xiang Chen. (2020). AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. 951–956. 2 indexed citations

13.

Qin, Zhuwei, Fuxun Yu, Chenchen Liu, & Xiang Chen. (2019). CAPTOR. 444–449. 8 indexed citations

14.

Xu, Zirui, Fuxun Yu, Chenchen Liu, & Xiang Chen. (2019). HAMPER. 512–517. 7 indexed citations

15.

Qin, Zhuwei, Fuxun Yu, Chenchen Liu, & Xiang Chen. (2018). Functionality-Oriented Convolutional Filter Pruning. British Machine Vision Conference. 92. 2 indexed citations

16.

Qin, Zhuwei, et al.. (2018). How convolutional neural networks see the world --- A survey of convolutional neural network visualization methods. Mathematical Foundations of Computing. 1(2). 149–180. 134 indexed citations

17.

Shi, Yi, Yanyan Yin, Chenchen Liu, Cheng‐Lin Liu, & Fei Liu. (2018). Consensus for heterogenous multi-agent systems with second-order linear and nonlinear dynamics. eSpace (Curtin University). 6068–6071. 1 indexed citations

18.

Liu, Chenchen, Yi Zhong, & Yuanli Wang. (2018). Improved Detection of User Malicious Behavior through Log Mining based on IHMM. 43. 1193–1198. 2 indexed citations

19.

Dong, Zhen, et al.. (2017). RRAM based convolutional neural networks for high accuracy pattern recognition and online learning tasks. 145–146. 9 indexed citations

20.

Liu, Chenchen. (2009). Approaches to Multiple Attribute Decision Making with Intuitionistic Fuzzy Sets Based on Fuzzy Integral. Shuxue de shijian yu renshi. 1 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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