Ji Fang

Mr. Ji Fang

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2009
Verified
Conference Paper
Closed access
JXJingfeng Xue
Jingfeng Xue
XFxiumei fan
xiumei fan
YCYuanda Cao
Yuanda Cao
JFJi Fang
Ji Fang
JLJiansheng Li
Jiansheng Li
To avoid random and blindfold forwarding decision in spray and wait routing in delay tolerant network, Binary Spray and Wait routing based on average delivery probability is proposed in this paper. Based on delivery predictability of PROPHET, average delivery predictability is proposed and used in Binary Spray and Wait routing to make forwarding decision. Furthermore, we evaluate it through simulations versus Spray and Wait routing protocol. The experimental results show there has slight higher average delivery rates and shorter average delays in Binary Spray and Wait routing based on average delivery probability.

9 September 2024 in Applied Sciences
Verified
Journal Article
Open access
PDF file
MLMengjie Liang
Mengjie Liang
JFJi Fang
Ji Fang
DCDunkui Chen
Dunkui Chen
LCLang Chen
Lang Chen
LPLingling Peng
Lingling Peng
XLXiang Lu
Xiang Lu
Optoelectronic integrated circuit (OEIC) technology has attracted considerable research attention. Studies have achieved numerous breakthroughs in the basic scientific problems, key technologies, demonstration applications, and industrial promotions of OEIC. This study details the technical process, development status, existing problems, and future research trends of the design, manufacturing, and packaging of OEIC to provide a systematic summary of OEIC technology.

1 April 2021 in Journal of Physics: Conference Series
Verified
Conference Paper
Open access
PDF file
YCYutong Ci
Yutong Ci
FJFangyu Jiao
Fangyu Jiao
WTWenyan Tu
Wenyan Tu
JFJi Fang
Ji Fang
In this paper, the bibliography included in Web of Science is taken as the data sample. This paper analyzes articles and reviews published from 2010 to 2020 in the field of computer vision and graphics to reveal the major countries or regions. We use leiden-type community algorithm to identify research topics. Besides, we explore the research fronts in the field of computer vision and graphics based on highly cited papers. The results show that the research on computer vision and graphics in the United States started earlier. The United States has always been in the leading position. China has developed rapidly in recent years. The United Kingdom, South Korea and India are also prominent. Deep learning, face recognition, image retrieval and volume rendering are the hottest research topics in the field of computer vision and graphics. Convolutional neural network and deep learning are the most emerging research fronts in the field of computer vision and graphics.