Feng Cen

465 total citations
18 papers, 304 citations indexed

About

Feng Cen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Feng Cen has authored 18 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 4 papers in Computer Networks and Communications. Recurrent topics in Feng Cen's work include Error Correcting Code Techniques (4 papers), Advanced Neural Network Applications (4 papers) and Video Coding and Compression Technologies (4 papers). Feng Cen is often cited by papers focused on Error Correcting Code Techniques (4 papers), Advanced Neural Network Applications (4 papers) and Video Coding and Compression Technologies (4 papers). Feng Cen collaborates with scholars based in China, United States and Canada. Feng Cen's co-authors include Guanghui Wang, Yuanwei Wu, Wenchi Ma, Fanglai Zhu, Weisheng Xu and Ajay Sharda and has published in prestigious journals such as IEEE Access, Pattern Recognition and IEEE Transactions on Cybernetics.

In The Last Decade

Feng Cen

16 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Cen China 7 197 95 44 31 30 18 304
Biao Wang China 10 189 1.0× 181 1.9× 27 0.6× 28 0.9× 14 0.5× 42 327
Yang Zhi China 10 157 0.8× 83 0.9× 18 0.4× 29 0.9× 40 1.3× 64 266
Debasmit Das United Kingdom 7 135 0.7× 170 1.8× 25 0.6× 14 0.5× 37 1.2× 19 303
Yongjun Hong South Korea 4 123 0.6× 85 0.9× 19 0.4× 21 0.7× 26 0.9× 6 252
Yuxuan Luo China 4 82 0.4× 140 1.5× 32 0.7× 14 0.5× 18 0.6× 12 260
Chuming Li China 9 187 0.9× 145 1.5× 20 0.5× 13 0.4× 12 0.4× 18 326
Shiming Chen China 9 127 0.6× 126 1.3× 30 0.7× 33 1.1× 20 0.7× 20 275
Jiangyan Dai China 10 236 1.2× 79 0.8× 11 0.3× 22 0.7× 18 0.6× 29 341
Sejong Yoon United States 10 122 0.6× 96 1.0× 33 0.8× 11 0.4× 16 0.5× 31 306
Tahereh Hassanzadeh Australia 12 153 0.8× 246 2.6× 18 0.4× 21 0.7× 10 0.3× 26 416

Countries citing papers authored by Feng Cen

Since Specialization
Citations

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

Fields of papers citing papers by Feng Cen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Cen

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

All Works

18 of 18 papers shown
1.
Cen, Feng, et al.. (2022). Data Augmentation Using Mixup and Random Erasing. 1–6. 3 indexed citations
2.
Cen, Feng, et al.. (2020). Classification of Occluded Images for Large-Scale Datasets With Numerous Occlusion Patterns. IEEE Access. 8. 170883–170897. 2 indexed citations
3.
Cen, Feng, et al.. (2020). Deep feature augmentation for occluded image classification. Pattern Recognition. 111. 107737–107737. 50 indexed citations
4.
Cen, Feng & Guanghui Wang. (2019). Boosting Occluded Image Classification via Subspace Decomposition-Based Estimation of Deep Features. IEEE Transactions on Cybernetics. 50(7). 3409–3422. 26 indexed citations
5.
Ma, Wenchi, Yuanwei Wu, Feng Cen, & Guanghui Wang. (2019). MDFN: Multi-scale deep feature learning network for object detection. Pattern Recognition. 100. 107149–107149. 114 indexed citations
6.
Cen, Feng & Guanghui Wang. (2019). Dictionary Representation of Deep Features for Occlusion-Robust Face Recognition. IEEE Access. 7. 26595–26605. 37 indexed citations
7.
Cen, Feng, et al.. (2018). RES-Q: Robust Outlier Detection Algorithm for Fundamental Matrix Estimation. IEEE Access. 6. 48664–48674. 3 indexed citations
8.
Cen, Feng, et al.. (2014). The Oscillation of a Class of the Fractional-Order Delay Differential Equations. Discrete Dynamics in Nature and Society. 2014. 1–7.
9.
Cen, Feng, et al.. (2014). Efficient frame complexity-based rate control for H.264/AVC intra-frame. 3. 289–294. 2 indexed citations
10.
Cen, Feng & Fanglai Zhu. (2014). Codeword averaged density evolution for distributed joint source and channel coding with decoder side information. IET Communications. 8(8). 1325–1335. 1 indexed citations
11.
Cen, Feng, et al.. (2014). Efficient Rate Control for Intra-Frame Coding in High Efficiency Video Coding. 54–59. 1 indexed citations
12.
Cen, Feng, et al.. (2014). SSIM based rate-distortion optimization for intra-only coding in HEVC. 21. 17–18. 4 indexed citations
13.
Cen, Feng. (2013). Distributed Joint Source and Channel Coding with Low-Density Parity-Check Codes. IEEE Communications Letters. 17(12). 2336–2339. 7 indexed citations
14.
Cen, Feng, et al.. (2013). Efficient rate control for intra-only coding in high efficiency video coding. 19. 1329–1333. 2 indexed citations
15.
Cen, Feng, et al.. (2010). Low-FOM planar MOSFET. 2. 460–463.
16.
Zhu, Fanglai & Feng Cen. (2010). Full-order observer-based actuator fault detection and reduced-order observer-based fault reconstruction for a class of uncertain nonlinear systems. Journal of Process Control. 20(10). 1141–1149. 40 indexed citations
17.
Cen, Feng. (2009). Design of degree distributions for LDPCA codes. IEEE Communications Letters. 13(7). 525–527. 11 indexed citations
18.

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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