Mingcong Song

663 total citations
22 papers, 480 citations indexed

About

Mingcong Song is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mingcong Song has authored 22 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Mingcong Song's work include Advanced Neural Network Applications (9 papers), Cloud Computing and Resource Management (8 papers) and Parallel Computing and Optimization Techniques (5 papers). Mingcong Song is often cited by papers focused on Advanced Neural Network Applications (9 papers), Cloud Computing and Resource Management (8 papers) and Parallel Computing and Optimization Techniques (5 papers). Mingcong Song collaborates with scholars based in United States and China. Mingcong Song's co-authors include Tao Li, Yang Hu, Jiaqi Zhang, Huixiang Chen, Tao Li, Jingling Yuan, Weigong Zhang, Yuting Dai, Jing Wang and Kan Zhong and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Geoscience and Remote Sensing Letters and ACM SIGPLAN Notices.

In The Last Decade

Mingcong Song

21 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingcong Song United States	13	233	191	156	149	85	22	480
Xue Lin China	10	217 0.9×	139 0.7×	220 1.4×	232 1.6×	148 1.7×	27	612
Hanqing Zeng United States	11	228 1.0×	272 1.4×	227 1.5×	109 0.7×	21 0.2×	22	554
Jiashen Cao United States	9	173 0.7×	94 0.5×	127 0.8×	163 1.1×	36 0.4×	18	357
José-María Arnau Spain	12	169 0.7×	128 0.7×	125 0.8×	176 1.2×	42 0.5×	37	459
Ahmad Shawahna Saudi Arabia	4	155 0.7×	166 0.9×	127 0.8×	56 0.4×	20 0.2×	5	354
Guy Boudoukh Israel	3	154 0.7×	161 0.8×	87 0.6×	55 0.4×	15 0.2×	3	296
Berkin Akin United States	10	134 0.6×	182 1.0×	56 0.4×	202 1.4×	32 0.4×	19	460
Qiang Yin China	13	227 1.0×	39 0.2×	220 1.4×	101 0.7×	77 0.9×	34	516
Jieru Zhao China	10	75 0.3×	160 0.8×	37 0.2×	94 0.6×	53 0.6×	44	368

Countries citing papers authored by Mingcong Song

Since Specialization

Citations

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

Fields of papers citing papers by Mingcong Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingcong Song

This figure shows the co-authorship network connecting the top 25 collaborators of Mingcong Song. A scholar is included among the top collaborators of Mingcong Song 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 Mingcong Song. Mingcong Song 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

Song, Mingcong, Tao Li, Zhibin Yu, et al.. (2021). Democratic learning: hardware/software co-design for lightweight blockchain-secured on-device machine learning. Journal of Systems Architecture. 118. 102205–102205. 12 indexed citations

Liu, Chubo, et al.. (2020). CoExe: An Efficient Co-execution Architecture for Real-Time Neural Network Services. 1–6. 2 indexed citations

Mao, Haiyu, Jiwu Shu, Mingcong Song, & Tao Li. (2020). LrGAN: A Compact and Energy Efficient PIM-Based Architecture for GAN Training. IEEE Transactions on Computers. 70(9). 1427–1442. 3 indexed citations

Chen, Huixiang, et al.. (2019). Notice of Retraction: 3D-based Video Recognition Acceleration by Leveraging Temporal Locality. 79–90. 1 indexed citations

Zhang, Jiaqi, Xiangru Chen, Mingcong Song, & Tao Li. (2019). Eager pruning. 292–303. 32 indexed citations

Song, Mingcong, Jiaqi Zhang, Huixiang Chen, & Tao Li. (2018). Towards Efficient Microarchitectural Design for Accelerating Unsupervised GAN-Based Deep Learning. 66–77. 41 indexed citations

Song, Mingcong, Kan Zhong, Jiaqi Zhang, et al.. (2018). In-Situ AI: Towards Autonomous and Incremental Deep Learning for IoT Systems. 92–103. 76 indexed citations

Mao, Haiyu, Mingcong Song, Tao Li, Yuting Dai, & Jiwu Shu. (2018). LerGAN: A Zero-Free, Low Data Movement and PIM-Based GAN Architecture. 669–681. 28 indexed citations

Song, Mingcong, et al.. (2018). Prediction Based Execution on Deep Neural Networks. 752–763. 61 indexed citations

10.

Dai, Yuting, Li Tao, Benyong Liu, Mingcong Song, & Huixiang Chen. (2018). Exploiting Dynamic Thermal Energy Harvesting for Reusing in Smartphone with Mobile Applications. ACM SIGPLAN Notices. 53(2). 243–256. 3 indexed citations

11.

Dai, Yuting, Li Tao, Benyong Liu, Mingcong Song, & Huixiang Chen. (2018). Exploiting Dynamic Thermal Energy Harvesting for Reusing in Smartphone with Mobile Applications. 243–256. 11 indexed citations

12.

Chen, Huixiang, Meng Wang, Yang Hu, Mingcong Song, & Tao Li. (2017). GaaS workload characterization under NUMA architecture for virtualized GPU. 65–76. 1 indexed citations

13.

Hu, Yang, Mingcong Song, & Tao Li. (2017). Towards "Full Containerization" in Containerized Network Function Virtualization. ACM SIGPLAN Notices. 52(4). 467–481.

14.

Hu, Yang, Mingcong Song, & Tao Li. (2017). Towards "Full Containerization" in Containerized Network Function Virtualization. 467–481. 21 indexed citations

15.

Hu, Yang, Mingcong Song, & Tao Li. (2017). Towards "Full Containerization" in Containerized Network Function Virtualization. ACM SIGOPS Operating Systems Review. 51(2). 467–481. 2 indexed citations

16.

Song, Mingcong, Yang Hu, Huixiang Chen, & Tao Li. (2017). Towards Pervasive and User Satisfactory CNN across GPU Microarchitectures. 1–12. 56 indexed citations

17.

Xu, Yunlong, Tao Li, Mingcong Song, et al.. (2016). Scheduling Tasks with Mixed Timing Constraints in GPU-Powered Real-Time Systems. 1–13. 12 indexed citations

18.

Song, Mingcong, Yang Hu, Yunlong Xu, et al.. (2016). Bridging the Semantic Gaps of GPU Acceleration for Scale-out CNN-based Big Data Processing. 315–326. 18 indexed citations

19.

Li, Chao, Yang Hu, Longjun Liu, et al.. (2015). Towards sustainable in-situ server systems in the big data era. ACM SIGARCH Computer Architecture News. 43(3S). 14–26. 18 indexed citations

20.

Liu, Yabo, Mingcong Song, Kun Wu, Robert Wang, & Yunkai Deng. (2013). High-Quality 3-D InISAR Imaging of Maneuvering Target Based on a Combined Processing Approach. IEEE Geoscience and Remote Sensing Letters. 10(5). 1036–1040. 27 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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