Ao Ren

1.8k total citations
57 papers, 1.1k citations indexed

About

Ao Ren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Ao Ren has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 22 papers in Computer Networks and Communications. Recurrent topics in Ao Ren's work include Advanced Neural Network Applications (22 papers), Advanced Memory and Neural Computing (16 papers) and Error Correcting Code Techniques (11 papers). Ao Ren is often cited by papers focused on Advanced Neural Network Applications (22 papers), Advanced Memory and Neural Computing (16 papers) and Error Correcting Code Techniques (11 papers). Ao Ren collaborates with scholars based in United States, China and Cayman Islands. Ao Ren's co-authors include Yanzhi Wang, Bo Yuan, Qinru Qiu, Zhe Li, Caiwen Ding, Xuehai Qian, Ji Li, Ruizhe Cai, Duo Liu and Yujuan Tan and has published in prestigious journals such as IEEE Access, IEEE Journal of Solid-State Circuits and Neural Networks.

In The Last Decade

Ao Ren

50 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ao Ren United States 20 670 506 407 308 67 57 1.1k
Hanrui Wang United States 15 623 0.9× 482 1.0× 205 0.5× 456 1.5× 65 1.0× 43 1.3k
Saeid Nooshabadi United States 17 139 0.2× 516 1.0× 248 0.6× 298 1.0× 24 0.4× 164 986
Yingyan Lin United States 19 472 0.7× 393 0.8× 187 0.5× 522 1.7× 46 0.7× 81 1.1k
Azalia Mirhoseini United States 13 313 0.5× 480 0.9× 181 0.4× 174 0.6× 49 0.7× 42 962
Yeseong Kim United States 19 459 0.7× 991 2.0× 243 0.6× 141 0.5× 70 1.0× 64 1.2k
Jianhao Hu China 18 223 0.3× 891 1.8× 580 1.4× 154 0.5× 132 2.0× 146 1.3k
Joo-Young Kim South Korea 17 176 0.3× 620 1.2× 192 0.5× 300 1.0× 28 0.4× 80 940
Jintao Zhang China 10 250 0.4× 635 1.3× 114 0.3× 181 0.6× 47 0.7× 31 957
Muhammad Abdullah Hanif Austria 21 379 0.6× 638 1.3× 103 0.3× 262 0.9× 35 0.5× 73 1.0k
Ankur Agrawal United States 15 511 0.8× 467 0.9× 100 0.2× 379 1.2× 32 0.5× 42 1.1k

Countries citing papers authored by Ao Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ao Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ao Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Ao Ren. A scholar is included among the top collaborators of Ao Ren 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 Ao Ren. Ao Ren 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.
Zhong, Kan, Qiao Li, Ao Ren, et al.. (2025). PIM-IoT: Enabling hierarchical, heterogeneous, and agile Processing-in-Memory in IoT systems. Future Generation Computer Systems. 169. 107782–107782. 1 indexed citations
2.
Tan, Yujuan, Yan Gan, Zhaoyang Zeng, et al.. (2025). GNNBoost: Accelerating sampling-based GNN training on large scale graph by optimizing data preparation. Journal of Systems Architecture. 167. 103456–103456.
3.
Zhang, Binyan, Ao Ren, Moming Duan, et al.. (2025). MPNAS: Multimodal Sentiment Analysis Pruning via Neural Architecture Search. 1–5.
4.
Wang, Chengliang, et al.. (2024). An FPGA-based kNN Seach Accelerator for point cloud registration. 1–5.
5.
Chen, Xianzhang, et al.. (2024). CEIU: Consistent and Efficient Incremental Update mechanism for mobile systems on flash storage. Journal of Systems Architecture. 152. 103151–103151.
6.
Liu, Ning, Yujuan Tan, Xianzhang Chen, et al.. (2024). FreePrune: An Automatic Pruning Framework Across Various Granularities Based on Training-Free Evaluation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 4033–4044.
7.
8.
Tan, Yujuan, et al.. (2024). DSAV: A Deep Sparse Acceleration Framework for Voxel-Based 3-D Object Detection. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(2). 613–626. 1 indexed citations
9.
Liu, Duo, Moming Duan, Li Li, et al.. (2023). FedMDS: An Efficient Model Discrepancy-Aware Semi-Asynchronous Clustered Federated Learning Framework. IEEE Transactions on Parallel and Distributed Systems. 34(3). 1007–1019. 34 indexed citations
10.
Chen, Xianzhang, et al.. (2023). Optimizing the Performance of Consistency-Aware Deduplication Using Persistent Memory. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(6). 1691–1703. 1 indexed citations
11.
Chen, Xianzhang, et al.. (2023). Optimizing the Incremental Update Mechanism by Inlaying File Indexes on Flash Storage. 56–61. 1 indexed citations
12.
13.
Wang, Chengliang, Heping Liu, Zhihai Zhang, et al.. (2022). FRL: Fast and Reconfigurable Accelerator for Distributed Sound Source Localization. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(11). 3922–3933. 4 indexed citations
14.
Li, Li, Duo Liu, Moming Duan, et al.. (2022). Federated learning with workload-aware client scheduling in heterogeneous systems. Neural Networks. 154. 560–573. 16 indexed citations
15.
Zhang, Yu, Duo Liu, Li Li, et al.. (2021). CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework. 1–10. 29 indexed citations
16.
Yue, Jinshan, Yongpan Liu, Wenyu Sun, et al.. (2020). STICKER-T: An Energy-Efficient Neural Network Processor Using Block-Circulant Algorithm and Unified Frequency-Domain Acceleration. IEEE Journal of Solid-State Circuits. 56(6). 1936–1948. 8 indexed citations
17.
Li, Zhe, Ji Li, Ao Ren, et al.. (2018). HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(8). 1543–1556. 67 indexed citations
18.
19.
Ren, Ao, Sijia Liu, Ruizhe Cai, et al.. (2017). Algorithm-hardware co-optimization of the memristor-based framework for solving SOCP and homogeneous QCQP problems. 788–793. 3 indexed citations
20.
Li, Zhe, Ao Ren, Ji Li, et al.. (2016). DSCNN: Hardware-oriented optimization for Stochastic Computing based Deep Convolutional Neural Networks. 678–681. 56 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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