Feng Huang

901 total citations
38 papers, 595 citations indexed

About

Feng Huang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Feng Huang has authored 38 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Artificial Intelligence. Recurrent topics in Feng Huang's work include Chaos-based Image/Signal Encryption (11 papers), Medical Image Segmentation Techniques (10 papers) and Advanced Steganography and Watermarking Techniques (9 papers). Feng Huang is often cited by papers focused on Chaos-based Image/Signal Encryption (11 papers), Medical Image Segmentation Techniques (10 papers) and Advanced Steganography and Watermarking Techniques (9 papers). Feng Huang collaborates with scholars based in China, United States and Macao. Feng Huang's co-authors include Yunmei Chen, Hemant D. Tagare, Edward A. Geiser, David C. Wilson, Richard W. Briggs, Sheshadri Thiruvenkadam, Kaundinya Gopinath, Xiaojing Ye, Yong Feng and Weihong Guo and has published in prestigious journals such as Scientific Reports, Magnetic Resonance in Medicine and IEEE Access.

In The Last Decade

Feng Huang

32 papers receiving 556 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 Huang China 11 408 201 97 72 66 38 595
Egil Bae Norway 9 309 0.8× 68 0.3× 107 1.1× 46 0.6× 48 0.7× 15 436
Stéphanie Jehan‐Besson France 13 488 1.2× 71 0.4× 61 0.6× 50 0.7× 27 0.4× 23 555
Carole Le Guyader France 11 311 0.8× 84 0.4× 98 1.0× 35 0.5× 41 0.6× 39 426
Amel Benazza‐Benyahia Tunisia 12 407 1.0× 86 0.4× 132 1.4× 65 0.9× 57 0.9× 79 629
Faouzi Ghorbel Tunisia 14 558 1.4× 43 0.2× 63 0.6× 77 1.1× 34 0.5× 99 667
Krzysztof Chris Ciesielski United States 17 462 1.1× 109 0.5× 14 0.1× 47 0.7× 73 1.1× 61 729
Liron Yatziv United States 7 502 1.2× 50 0.2× 57 0.6× 34 0.5× 44 0.7× 9 635
João Oliveira Portugal 8 468 1.1× 51 0.3× 242 2.5× 30 0.4× 111 1.7× 19 678
Françoise Prêteux France 12 343 0.8× 74 0.4× 141 1.5× 36 0.5× 35 0.5× 67 505
Stamatios Lefkimmiatis Switzerland 11 410 1.0× 133 0.7× 260 2.7× 28 0.4× 174 2.6× 27 693

Countries citing papers authored by Feng Huang

Since Specialization
Citations

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

Fields of papers citing papers by Feng Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Huang. A scholar is included among the top collaborators of Feng Huang 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 Huang. Feng Huang 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.
He, Chuan, Haiyang Zheng, Zhi Ding, & Feng Huang. (2025). Theoretical study on the soil additional stress and principal stress axis deflection during shield tunneling. Tunnelling and Underground Space Technology. 159. 106511–106511. 2 indexed citations
2.
3.
Zhang, Shengdong, Xiaoqin Zhang, Wenqi Ren, et al.. (2025). Exploring Fuzzy Priors From Multimapping GAN for Robust Image Dehazing. IEEE Transactions on Fuzzy Systems. 33(11). 3946–3958.
4.
Wang, Jiangang, et al.. (2025). RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution. Proceedings of the AAAI Conference on Artificial Intelligence. 39(7). 7727–7735. 1 indexed citations
5.
He, Chuan & Feng Huang. (2025). Field and numerical studies of subsidence induced by double-line shield tunneling in gas-bearing strata of Hangzhou metro. Bulletin of Engineering Geology and the Environment. 84(7).
6.
Shen, Ying, et al.. (2024). Progressive CNN-transformer alternating reconstruction network for hyperspectral image reconstruction—A case study in red tide detection. International Journal of Applied Earth Observation and Geoinformation. 134. 104129–104129. 2 indexed citations
7.
Wang, Shu, et al.. (2024). Deep learning-based spectral reconstruction in camouflaged target detection. International Journal of Applied Earth Observation and Geoinformation. 126. 103645–103645. 2 indexed citations
8.
Huang, Feng & Jianjun Li. (2024). Assessing action quality with semantic-sequence performance regression and densely distributed sample weighting. Applied Intelligence. 54(4). 3245–3259. 5 indexed citations
9.
Zhang, Xinlin, Hua Guo, Huijun Chen, et al.. (2020). Phase-constrained reconstruction of high-resolution multi-shot diffusion weighted image. Journal of Magnetic Resonance. 312. 106690–106690. 10 indexed citations
10.
Huang, Feng, et al.. (2011). Design of Image Encryption Algorithm Based on Compound Two-dimensional Maps. Journal of Software. 6(10). 3 indexed citations
11.
Börnert, Peter, et al.. (2011). Generalized GRAPPA operators for wider spiral bands: Rapid self‐calibrated parallel reconstruction for variable density spiral MRI. Magnetic Resonance in Medicine. 66(4). 1067–1078. 10 indexed citations
12.
Huang, Feng, Yunmei Chen, Wotao Yin, et al.. (2010). A rapid and robust numerical algorithm for sensitivity encoding with sparsity constraints: Self‐feeding sparse SENSE. Magnetic Resonance in Medicine. 64(4). 1078–1088. 42 indexed citations
13.
Ye, Xiaojing, Yunmei Chen, & Feng Huang. (2010). Computational Acceleration for MR Image Reconstruction in Partially Parallel Imaging. IEEE Transactions on Medical Imaging. 30(5). 1055–1063. 58 indexed citations
14.
Huang, Feng, et al.. (2010). GRAPPA operator for wider radial bands (GROWL) with optimally regularized self‐calibration. Magnetic Resonance in Medicine. 64(3). 757–766. 14 indexed citations
15.
Huang, Feng, et al.. (2008). A new image encryption arithmetic based on a three-dimensional map. 21. 473–477. 1 indexed citations
16.
Huang, Feng & Yong Feng. (2006). An Image Encryption Approach Based on a New Two-Dimensional Map. 125–130. 5 indexed citations
17.
Cheng, Hu & Feng Huang. (2006). Magnetic resonance imaging image intensity correction with extrapolation and adaptive smoothing. Magnetic Resonance in Medicine. 55(4). 959–966. 5 indexed citations
18.
Chen, Yunmei, Feng Huang, Hemant D. Tagare, & Murali Rao. (2006). A Coupled Minimization Problem for Medical Image Segmentation with Priors. International Journal of Computer Vision. 71(3). 259–272. 32 indexed citations
19.
Cheng, Hu & Feng Huang. (2005). MRI Image Intensity Correction with Extrapolation and Smoothing. PubMed. 2005. 1324–1327. 2 indexed citations
20.
Chen, Yunmei, Feng Huang, David C. Wilson, & Edward A. Geiser. (2002). Segmentation with shape and intensity priors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4875. 378–378. 1 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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