Chen Feng

679 total citations
56 papers, 422 citations indexed

About

Chen Feng is a scholar working on Ocean Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Chen Feng has authored 56 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ocean Engineering, 17 papers in Artificial Intelligence and 15 papers in Control and Systems Engineering. Recurrent topics in Chen Feng's work include Underwater Vehicles and Communication Systems (10 papers), Fault Detection and Control Systems (8 papers) and Machine Fault Diagnosis Techniques (8 papers). Chen Feng is often cited by papers focused on Underwater Vehicles and Communication Systems (10 papers), Fault Detection and Control Systems (8 papers) and Machine Fault Diagnosis Techniques (8 papers). Chen Feng collaborates with scholars based in China, Italy and United Kingdom. Chen Feng's co-authors include Bo He, Tianhong Yan, Guangliang Li, Yan Song, Jia Guo, Xin Zhang, Shuang Gao, Bo He, Pengfei Lv and Xiaokai Mu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and IEEE Transactions on Industrial Informatics.

In The Last Decade

Chen Feng

54 papers receiving 412 citations

Peers

Countries citing papers authored by Chen Feng

Since Specialization

Citations

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

Fields of papers citing papers by Chen Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Feng

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Data and Model Combined Unsupervised Fault Detection and Assessment Framework for Underwater Thruster 2024 ·IEEE Transactions on Industrial Informatics ·Shuang Gao, Chen Feng, (unknown), Tianhong Yan, Bo He, Enrico Zio	7
2	Physical model embedding-based generative adversarial networks for unsupervised fault detection of underwater thrusters 2024 ·Ocean Engineering ·Shuang Gao, (unknown), (unknown), Chen Feng, Tianhong Yan, Bo He, Enrico Zio	10
3	PSNet: A non-uniform illumination correction method for underwater images based pseudo-siamese network 2024 ·Knowledge-Based Systems ·(unknown), Shenghui Rong, Chen Feng, Bo He	2
4	Unsupervised fault diagnosis framework for underwater thruster system using estimated torques and multi-head convolutional autoencoder 2023 ·Mechanical Systems and Signal Processing ·Shuang Gao, Chen Feng, Xin Zhang, (unknown), Tianhong Yan, Bo He	11
5	Quantifying Time-Frequency Co-movement Impact of COVID-19 on U.S. and China Stock Market Toward Investor Sentiment Index 2021 ·Frontiers in Public Health ·Rui Nian, (unknown), Qiang Yuan, Chen Feng, Amaury Lendasse	6
6	Obstacle avoidance planning combining reinforcement learning and RRT* applied to underwater operations 2021 ·OCEANS 2021: San Diego – Porto ·(unknown), Chen Feng, Yue Shen	3
7	Dynamic Prediction of Origin-Destination Flows Using Fusion Line Graph Convolutional Networks. 2019 ·arXiv (Cornell University) ·Xi Xiong, Kaan Özbay, Jin Li, Chen Feng	3
8	Application of AUV Navigation Based on SVD Unscented Particle Filter 2019 ·Feng Yin, Bo He, Chen Feng, Shuai Guo, Xin Zhang, Harry Liu, Xiaokai Mu, Pengfei Lv, Tianhong Yan	1
9	Side scan sonar segmentation using deep convolutional neural network 2017 ·(unknown), (unknown), Guangliang Li, Chen Feng, Bo He, Tianhong Yan	15
10	Fish recognition using convolutional neural network 2017 ·Guoqing Ding, Yan Song, Jia Guo, Chen Feng, Guangliang Li, Bo He, Tianhong Yan	18
11	Research of rumor spreading on Weighted Short Message Networks 2012 ·Chinese Control Conference ·(unknown), (unknown), Xiaowei Qin, Chen Feng	1
12	Teaching Discussion on Modern Control Theory Course Based on CDIO Concept 2012 ·Chen Feng	1
13	Extraction and compression of high-order statistical characteristics for ship radiated noise 2010 ·Applied Acoustics ·Chen Feng	1
14	Study on Network Security Analysis Method Based on Graph 2008 ·Journal of National University of Defense Technology ·Chen Feng	1
15	Wavelet analysis-based NPR prediction of short-term traffic flow 2008 ·JUSTC ·Chen Feng	2
16	A Map-matching Algorithm of Real-time Floating Car System for Complex City Road Network 2007 ·Computer Communications ·Chen Feng	1
17	Optimal Control for Isolated Intersection Signal Based on Genetic Algorithm 2007 ·Jisuanji gongcheng ·Chen Feng	3
18	Data Fusion for Nutrient Solution Components Detection Based on SVM 2005 ·Jisuanji fangzhen ·Chen Feng	2
19	Blindly selecting method of training samples based hyper-spectral image's intrinsic character for object recognition 2005 ·(unknown), Guangrong Ji, Chen Feng, Rui Nian	1
20	ARTIFICIAL IMMUNE SYSTEM AND ITS APPLICATION IN CONTROL FIELD 2003 ·Information and Computation ·Chen Feng	1

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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