Fenglong Song

843 total citations
30 papers, 369 citations indexed

About

Fenglong Song is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fenglong Song has authored 30 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Hardware and Architecture, 16 papers in Computer Networks and Communications and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fenglong Song's work include Parallel Computing and Optimization Techniques (16 papers), Interconnection Networks and Systems (9 papers) and Advanced Image Processing Techniques (7 papers). Fenglong Song is often cited by papers focused on Parallel Computing and Optimization Techniques (16 papers), Interconnection Networks and Systems (9 papers) and Advanced Image Processing Techniques (7 papers). Fenglong Song collaborates with scholars based in China, Sweden and United States. Fenglong Song's co-authors include Tao Wang, Xiaochun Cao, Wenqi Ren, Xiuyi Jia, Xiaobin Hu, Zhuoran Zheng, Youliang Yan, Dongrui Fan, Xian Wang and Yong Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Journal of Parallel and Distributed Computing.

In The Last Decade

Fenglong Song

24 papers receiving 357 citations

Peers

Fenglong Song
Sungdae Cho United States
Eric Debes United States
Jaeyeon Kang United States
Justin Hensley United States
Linnan Wang United States
Kyusik Chung South Korea
James Hegarty United States
Peiyan Dong United States
Ping‐Sing Tsai United States
Sungdae Cho United States
Fenglong Song
Citations per year, relative to Fenglong Song Fenglong Song (= 1×) peers Sungdae Cho

Countries citing papers authored by Fenglong Song

Since Specialization
Citations

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

Fields of papers citing papers by Fenglong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenglong Song

This figure shows the co-authorship network connecting the top 25 collaborators of Fenglong Song. A scholar is included among the top collaborators of Fenglong 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 Fenglong Song. Fenglong Song 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.
Ren, Wenqi, et al.. (2025). DI-Retinex: Digital-Imaging Retinex Model for Low-Light Image Enhancement. International Journal of Computer Vision. 133(12). 8293–8314. 1 indexed citations
2.
Li, Jiacheng, et al.. (2025). Multi-Spectral Image Color Reproduction. 8400–8409. 1 indexed citations
3.
Lin, Jiaqi, et al.. (2025). Decoupling Appearance Variations with 3D Consistent Features in Gaussian Splatting. Proceedings of the AAAI Conference on Artificial Intelligence. 39(5). 5236–5244.
4.
Chen, Chang, et al.. (2025). LeRF: Learning Resampling Function for Adaptive and Efficient Image Interpolation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 8453–8470.
5.
Chen, Haoyu, Sixiang Chen, Jinjin Gu, et al.. (2024). RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models. 110643–110666. 1 indexed citations
6.
Ren, Wenqi, et al.. (2023). Fast Ultra High-Definition Video Deblurring via Multi-scale Separable Network. International Journal of Computer Vision. 132(5). 1817–1834. 5 indexed citations
7.
Chen, Chang, Cheng Li, Yibin Huang, et al.. (2023). Toward RAW Object Detection: A New Benchmark and A New Model. 13384–13393. 13 indexed citations
8.
Li, Jiacheng, Chang Chen, Wei Huang, et al.. (2023). Learning Steerable Function for Efficient Image Resampling. 5866–5875. 6 indexed citations
9.
Zheng, Zhuoran, Wenqi Ren, Xiaochun Cao, et al.. (2021). Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning. 16180–16189. 170 indexed citations
10.
Ren, Wenqi, et al.. (2021). Multi-Scale Separable Network for Ultra-High-Definition Video Deblurring. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 14010–14019. 20 indexed citations
11.
Yu, Hui, Dianjie Lu, Fenglong Song, et al.. (2014). Fast and scalable lock methods for video coding on many-core architecture. Journal of Visual Communication and Image Representation. 25(7). 1758–1762. 1 indexed citations
12.
Shen, Xiaowei, et al.. (2014). RBPP: A row based DRAM page policy for the many-core era. 999–1004. 6 indexed citations
13.
Song, Fenglong, et al.. (2013). HRUL: A Hardware Assisted Recorder for User-Level Application. 33. 134–140. 1 indexed citations
14.
Li, Xiaogang, et al.. (2012). Auto-Tuning GEMV on Many-Core GPU. 30–36. 7 indexed citations
15.
Liu, Zhiyong, et al.. (2012). Accelerating Sparse Matrix Vector Multiplication On Many-Core Gpus. Zenodo (CERN European Organization for Nuclear Research). 6(1). 11–18. 1 indexed citations
16.
Liu, Peng, Guangming Tan, Rajiv K. Kalia, et al.. (2012). Scalability study of molecular dynamics simulation on Godson-T many-core architecture. Journal of Parallel and Distributed Computing. 73(11). 1469–1482. 3 indexed citations
17.
Zhang, Hao, et al.. (2012). Optimizing Sparse Matrix Vector Multiplication Using Cache Blocking Method on Fermi GPU. 231–235. 20 indexed citations
18.
Fan, Dongrui, Hao Zhang, Da Wang, et al.. (2011). High-efficient architecture of Godson-T many-core processor. 1–31. 2 indexed citations
19.
Li, Xiaogang, et al.. (2009). Study on Fine-Grained Synchronization in Many-Core Architecture. 524–529. 5 indexed citations
20.
Fan, Dongrui, Junchao Zhang, Yongbin Zhou, et al.. (2009). Godson-T: An Efficient Many-Core Architecture for Parallel Program Executions. Journal of Computer Science and Technology. 24(6). 1061–1073. 26 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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