Feng Huang

434 total citations
36 papers, 256 citations indexed

About

Feng Huang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Feng Huang has authored 36 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 11 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Feng Huang's work include Cloud Computing and Resource Management (7 papers), Software-Defined Networks and 5G (6 papers) and Mobile Agent-Based Network Management (4 papers). Feng Huang is often cited by papers focused on Cloud Computing and Resource Management (7 papers), Software-Defined Networks and 5G (6 papers) and Mobile Agent-Based Network Management (4 papers). Feng Huang collaborates with scholars based in China, United States and United Kingdom. Feng Huang's co-authors include Yiyun Zhang, Yiming Zhang, Ning Liu, Dawei Feng, Dongsheng Li, Haonan Wang, Penghao Li, Kai Wang, Xiao‐Chun Fan and Quinn Snell and has published in prestigious journals such as Scientific Reports, Optics Letters and IEEE Access.

In The Last Decade

Feng Huang

33 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Feng Huang China	5	76	58	58	43	34	36	256
Mohammad Hussein Amiri Iran	4	120 1.6×	31 0.5×	69 1.2×	63 1.5×	43 1.3×	5	323
Ashish Kumar Shakya India	5	67 0.9×	33 0.6×	82 1.4×	75 1.7×	27 0.8×	11	278
Tiehua Zhang Australia	9	115 1.5×	121 2.1×	95 1.6×	36 0.8×	55 1.6×	20	300
Richard Liaw United States	7	113 1.5×	67 1.2×	26 0.4×	89 2.1×	45 1.3×	10	264
Lorenzo Canese Italy	6	75 1.0×	51 0.9×	51 0.9×	47 1.1×	30 0.9×	10	238
Sheetal N. Ghorpade India	8	51 0.7×	94 1.6×	124 2.1×	23 0.5×	15 0.4×	11	228
Jingyang Hu China	11	46 0.6×	81 1.4×	82 1.4×	20 0.5×	47 1.4×	23	247
Eugen Brenner Austria	10	46 0.6×	47 0.8×	91 1.6×	30 0.7×	24 0.7×	40	260
Shubham Pateria Singapore	5	127 1.7×	43 0.7×	41 0.7×	73 1.7×	67 2.0×	12	305
Borja Fernandez‐Gauna Spain	11	104 1.4×	66 1.1×	67 1.2×	78 1.8×	31 0.9×	29	303

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chen, Kun, Feng Huang, Ping Wang, & Yao Yao. (2025). Statistical evaluation for enhancing the robustness of optical PUF-based authentication systems. Optics Letters. 50(7). 2121–2121.

Huang, Feng, Hongwei Liu, Liqiong Chen, Ying Shen, & Min‐Teh Yu. (2025). Feature enhanced cascading attention network for lightweight image super-resolution. Scientific Reports. 15(1). 2051–2051. 1 indexed citations

Wu, Xi, Pengfei Peng, Xian-Zheng Tan, et al.. (2024). Accelerated 3D whole-heart non-contrast-enhanced mDIXON coronary MR angiography using deep learning-constrained compressed sensing reconstruction. Insights into Imaging. 15(1). 224–224. 2 indexed citations

Wu, Jing, R. H. Ni, Zhenhua Chen, Feng Huang, & Liqiong Chen. (2024). FEFN: Feature Enhancement Feedforward Network for Lightweight Object Detection in Remote Sensing Images. Remote Sensing. 16(13). 2398–2398. 1 indexed citations

Li, Penghao, et al.. (2023). Three Dimensional Shape Reconstruction via Polarization Imaging and Deep Learning. Sensors. 23(10). 4592–4592. 11 indexed citations

Zhang, Yiming, Shan Lu, Haryadi S. Gunawi, et al.. (2023). Performance Bug Analysis and Detection for Distributed Storage and Computing Systems. ACM Transactions on Storage. 19(3). 1–33. 2 indexed citations

Shen, Ying, et al.. (2023). Real-Time Segmentation of Artificial Targets Using a Dual-Modal Efficient Attention Fusion Network. Remote Sensing. 15(18). 4398–4398. 1 indexed citations

Chen, Mengyuan, Feng Huang, Hao Wu, et al.. (2023). Integrating the atomically separated frontier molecular orbital distribution of two multiple resonance frameworks through a single bond for high-efficiency narrowband emission. Materials Horizons. 10(10). 4224–4231. 15 indexed citations

Wang, Haonan, Ning Liu, Yiyun Zhang, et al.. (2020). Deep reinforcement learning: a survey. Frontiers of Information Technology & Electronic Engineering. 21(12). 1726–1744. 175 indexed citations

10.

Wang, Haonan, Yiyun Zhang, Dawei Feng, Dongsheng Li, & Feng Huang. (2020). BSE-MAML: Model Agnostic Meta-Reinforcement Learning via Bayesian Structured Exploration. 60–67. 2 indexed citations

11.

Liu, Feng, et al.. (2020). Linear Convergence Rate of Splitting Algorithms for Multi-Block Constrained Convex Minimizations. IEEE Access. 8. 120694–120700. 1 indexed citations

12.

Wang, Yao, et al.. (2018). Effectiveness Evaluation of Satellite-ground Collaborative Communication Network Based on AHP-FCE Method. DEStech Transactions on Computer Science and Engineering.

13.

Huang, Feng, Yiming Zhang, Dongsheng Li, et al.. (2016). meGautz: A High Capacity, Fault-Tolerant and Traffic Isolated Modular Datacenter Network. IEEE Transactions on Services Computing. 11(1). 117–130. 1 indexed citations

14.

Zhu, Ke, Zhen Zhang, & Feng Huang. (2013). iCautz: A high-capacity and fault-tolerant intercontainer network. 732–736. 1 indexed citations

15.

Huang, Feng, et al.. (2012). Research on Power Grid Reasoning Expert System Based on Ontology. AASRI Procedia. 3. 495–500. 1 indexed citations

16.

Huang, Feng, Xicheng Lu, Dongsheng Li, & Yiming Zhang. (2012). SCautz: a high performance and fault-tolerant datacenter network for modular datacenters. Science China Information Sciences. 55(7). 1493–1508. 1 indexed citations

17.

Huang, Feng, et al.. (2011). Location Method of Near Space Radar Network Based on Regularized Constrained Total Least Square. JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY. 33(7). 1655–1660. 1 indexed citations

18.

Huang, Feng, et al.. (2009). <title>Key requirements of packet transport network based on MPLS-TP</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7633. 763316–763316. 2 indexed citations

19.

Bosman, Gijs, et al.. (2006). IMAGE GUIDED NOISE TOMOGRAPHY FOR INCREASED SPECIFICITY OF MAGNETIC RESONANCE IMAGING. Fluctuation and Noise Letters. 6(3). L251–L261. 1 indexed citations

20.

Huang, Feng. (2002). Operating system support for flexible coherence in distributed object systems. 5. 171–174. 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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