Renping Liu

522 total citations · 1 hit paper
9 papers, 355 citations indexed

About

Renping Liu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Renping Liu has authored 9 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Renping Liu's work include Caching and Content Delivery (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Data Storage Technologies (2 papers). Renping Liu is often cited by papers focused on Caching and Content Delivery (2 papers), Advanced Neural Network Applications (2 papers) and Advanced Data Storage Technologies (2 papers). Renping Liu collaborates with scholars based in China, Singapore and Taiwan. Renping Liu's co-authors include Duo Liu, Xianzhang Chen, Yujuan Tan, Liang Liang, Moming Duan, Weihua Huang, Yong Liang Guan, Yu Wu, Chunhua Xiao and Jianxin Hu and has published in prestigious journals such as IEEE Transactions on Computers, Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Renping Liu

9 papers receiving 348 citations

Hit Papers

Self-Balancing Federated Learning With Global Imbalanced ... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renping Liu China 5 285 82 53 52 46 9 355
Moming Duan China 8 429 1.5× 122 1.5× 64 1.2× 74 1.4× 75 1.6× 17 498
Yiqun Diao Singapore 2 503 1.8× 85 1.0× 69 1.3× 53 1.0× 53 1.2× 5 566
Wei Tong China 9 242 0.8× 64 0.8× 55 1.0× 54 1.0× 66 1.4× 21 320
Renwan Bi China 8 190 0.7× 67 0.8× 31 0.6× 60 1.2× 69 1.5× 14 312
Jiasi Weng China 10 272 1.0× 89 1.1× 31 0.6× 74 1.4× 153 3.3× 17 382
Lichuan Ma China 7 246 0.9× 140 1.7× 82 1.5× 73 1.4× 122 2.7× 15 407
Briland Hitaj United States 3 751 2.6× 69 0.8× 70 1.3× 60 1.2× 94 2.0× 5 809
Zhuoran Ma China 10 378 1.3× 104 1.3× 23 0.4× 48 0.9× 83 1.8× 19 463
Yongheng Deng China 10 401 1.4× 120 1.5× 89 1.7× 74 1.4× 88 1.9× 20 480

Countries citing papers authored by Renping Liu

Since Specialization
Citations

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

Fields of papers citing papers by Renping Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renping Liu

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

All Works

9 of 9 papers shown
1.
Wang, Daoru, et al.. (2025). A simple yet powerful dimensionality reduction method for annual daylighting prediction and its inverse process via pix2pix. Journal of Building Engineering. 105. 112410–112410. 2 indexed citations
2.
Liu, Renping, et al.. (2021). Self-Adapting Channel Allocation for Multiple Tenants Sharing SSD Devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(2). 294–305. 8 indexed citations
3.
Wu, Yu, et al.. (2021). MobileRE: A replicas prioritized hybrid fault tolerance strategy for mobile distributed system. Journal of Systems Architecture. 118. 102217–102217. 5 indexed citations
4.
Liu, Renping, Xianzhang Chen, Duo Liu, et al.. (2020). Separable Binary Convolutional Neural Network on Embedded Systems. IEEE Transactions on Computers. 69(10). 1474–1486. 1 indexed citations
5.
Duan, Moming, Duo Liu, Xianzhang Chen, et al.. (2020). Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems. IEEE Transactions on Parallel and Distributed Systems. 32(1). 59–71. 296 indexed citations breakdown →
6.
Liu, Duo, Xianzhang Chen, Renping Liu, et al.. (2018). FitCNN: A cloud-assisted and low-cost framework for updating CNNs on IoT devices. Future Generation Computer Systems. 91. 277–289. 14 indexed citations
7.
Liu, Duo, Po‐Chun Huang, Yi Gu, et al.. (2018). Downsizing Without Downgrading: Approximated Dynamic Time Warping on Nonvolatile Memories. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(1). 131–144. 4 indexed citations
8.
Liu, Duo, et al.. (2018). HiNextApp: A context-aware and adaptive framework for app prediction in mobile systems. Sustainable Computing Informatics and Systems. 22. 219–229. 4 indexed citations
9.
Huang, Weihua, et al.. (2007). Extraction of Vectorized Graphical Information from Scientific Chart Images. Proceedings of the International Conference on Document Analysis and Recognition. 521–525. 21 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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