Bin Ren

2.8k total citations
100 papers, 1.5k citations indexed

About

Bin Ren is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Bin Ren has authored 100 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 33 papers in Computer Networks and Communications and 25 papers in Artificial Intelligence. Recurrent topics in Bin Ren's work include Parallel Computing and Optimization Techniques (24 papers), Advanced Neural Network Applications (23 papers) and Advanced Wireless Communication Technologies (9 papers). Bin Ren is often cited by papers focused on Parallel Computing and Optimization Techniques (24 papers), Advanced Neural Network Applications (23 papers) and Advanced Wireless Communication Technologies (9 papers). Bin Ren collaborates with scholars based in United States, China and Mexico. Bin Ren's co-authors include Shaoli Kang, Shaohui Sun, Kai Niu, Wei Niu, Yanzhi Wang, Qiubin Gao, Shanzhi Chen, Gagan Agrawal, Xue Lin and Yingmin Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemistry of Materials and Langmuir.

In The Last Decade

Bin Ren

87 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Ren United States 20 755 421 401 278 238 100 1.5k
Liu Liu China 18 543 0.7× 356 0.8× 402 1.0× 298 1.1× 126 0.5× 60 1.3k
Guojie Luo China 22 927 1.2× 344 0.8× 269 0.7× 130 0.5× 427 1.8× 112 1.4k
Caiwen Ding United States 22 782 1.0× 347 0.8× 617 1.5× 833 3.0× 219 0.9× 117 1.8k
Yajun Ha Singapore 20 785 1.0× 527 1.3× 241 0.6× 291 1.0× 592 2.5× 142 1.6k
Yingyan Lin United States 19 393 0.5× 187 0.4× 522 1.3× 472 1.7× 141 0.6× 81 1.1k
Jianhao Hu China 18 891 1.2× 580 1.4× 154 0.4× 223 0.8× 68 0.3× 146 1.3k
Yinhe Han China 24 1.6k 2.1× 829 2.0× 635 1.6× 392 1.4× 890 3.7× 188 2.4k
Ninghui Sun China 15 711 0.9× 528 1.3× 804 2.0× 485 1.7× 665 2.8× 63 1.7k

Countries citing papers authored by Bin Ren

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Ren. A scholar is included among the top collaborators of Bin 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 Bin Ren. Bin 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
2.
Antonopoulos, Christos D., Nikolaos Bellas, Spyros Lalis, et al.. (2025). TMModel: Modeling Texture Memory and Mobile GPU Performance to Accelerate DNN Computations. 205–220.
3.
Guo, Min, Howell Tong, Yonghong Wang, et al.. (2025). Risk factors analysis and prediction model construction of hospital-acquired pneumonia after traumatic brain injury. Frontiers in Neurology. 16. 1518599–1518599.
4.
Slaughter, Elliott, Yu Li, Christopher Zimmer, et al.. (2024). CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 426–436. 2 indexed citations
5.
Yuan, Geng, Yanyu Li, Weichao Guo, et al.. (2024). DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices. 1–2. 1 indexed citations
6.
Li, Yanyu, Pu Zhao, Geng Yuan, et al.. (2023). Towards Real-Time Segmentation on the Edge. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1468–1476. 6 indexed citations
7.
Gong, Yifan, Geng Yuan, Zheng Zhan, et al.. (2022). Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. ACM Transactions on Design Automation of Electronic Systems. 27(5). 1–26. 5 indexed citations
8.
Wang, Qihan, Zhen Peng, Bin Ren, Jie Chen, & Robert G. Edwards. (2022). MemHC: An Optimized GPU Memory Management Framework for Accelerating Many-body Correlation. ACM Transactions on Architecture and Code Optimization. 19(2). 1–26. 6 indexed citations
9.
Guan, Hui, Shaoshan Liu, Xiaolong Ma, et al.. (2021). CoCoPIE. Communications of the ACM. 64(6). 62–68. 14 indexed citations
10.
Ren, Bin, et al.. (2021). Design of aerial image target detection systembased on MPSOC. Chinese Journal of Liquid Crystals and Displays. 36(7). 1006–1017.
11.
Zhan, Zheng, Yifan Gong, Zhengang Li, et al.. (2020). A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework.. arXiv (Cornell University). 2 indexed citations
12.
Li, Zhengang, Geng Yuan, Wei Niu, et al.. (2020). 6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.. arXiv (Cornell University). 1 indexed citations
13.
Qian, Lu, et al.. (2020). Research on acquisition and tracking technology for the four-quadrant detector. Guangdian gongcheng. 47(3). 190559. 1 indexed citations
14.
Dong, Peiyan, Wei Niu, Sheng Lin, et al.. (2020). RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. 1–6. 35 indexed citations
15.
Lu, Zaixin, et al.. (2019). Enforcing Crash Consistency of Evolving Network Analytics in Non-Volatile Main Memory Systems. 13. 124–137. 6 indexed citations
16.
Ren, Bin, Sriram Krishnamoorthy, Kunal Agrawal, & Milind Kulkarni. (2017). Exploiting Vector and Multicore Parallelism for Recursive, Data- and Task-Parallel Programs. W&M Publish (College of William & Mary). 117–130. 9 indexed citations
17.
Krishnamoorthy, Sriram, et al.. (2016). User-Assisted Store Recycling for Dynamic Task Graph Schedulers. ACM Transactions on Architecture and Code Optimization. 13(4). 1–24. 1 indexed citations
18.
Ren, Bin, et al.. (2015). Design and calculation of absorption layer thickness on InP/InGaAs transferred-electron photocathode. 44(10). 3010–3014. 1 indexed citations
19.
Ren, Bin, Gagan Agrawal, James R. Larus, et al.. (2013). SIMD parallelization of applications that traverse irregular data structures. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–10. 44 indexed citations
20.
Ren, Bin. (2011). Research progress of the microemulsion additives applied to reservoir stimulation. Applied Chemical Industry. 2 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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