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| 1 | Terahertz surface plasmonic waves: a review显示文摘Terahertz science and technology promise many cutting-edge applications.Terahertz surface plasmonic waves that propagate at metal–dielectric interfaces deliver a potentially effective way to realize integrated terahertz devices and systems.Previous concerns regarding terahertz surface plasmonic waves have been based on their highly delocalized feature.However,recent advances in plasmonics indicate that the confinement of terahertz surface plasmonic waves,as well as their propagating behaviors,can be engineered by designing the surface environments,shapes,structures,materials,etc.,enabling a unique and fascinating regime of plasmonic waves.Together with the essential spectral property of terahertz radiation,as well as the increasingly developed materials,microfabrication,and time-domain spectroscopy technologies,devices and systems based on terahertz surface plasmonic waves may pave the way toward highly integrated platforms for multifunctional operation,implementation,and processing of terahertz waves in both fundamental science and practical applications.We present a review on terahertz surface plasmonic waves on various types of supports in a sequence of properties,excitation and detection,and applications.The current research trend and outlook of possible research directions for terahertz surface plasmonic waves are also outlined. | Xueqian Zhang Quan Xu Lingbo Xia Yanfeng Li Jianqiang Gu Zhen Tian Chunmei Ouyang Jiaguang Han Weili Zhang | 2020 | Advanced Photonics2020，2，1： | 7 |
| 2 | The application and efficacy of stent place for Budd-Chiari syndrome显示文摘Objective To evaluate the application value and efficacy on stent place for Budd-Chiari syndrome(BCS). Methods From January 1990 to May 2017, 2228 patients with BCS were admitted to our institution. The mean age was 43.3 years. Stents were placed in inferior vena cava(IVC), hepatic vein(HV), or both after balloon dilation. During follow-up period, the patency of stent was evaluated by ultrasound regularly and the clinic sign was surveyed by letter, telephone or clinic visit. The restenosis of stent were treated with balloon dilatation and thrombolysis to restore the its function. Results IVC type was diagnosed in 1492 cases, HV type in 510 cases, and mixed type in 226 cases. Eighteen patients aborted treatment because of economic reasons, advanced liver cancer, severe scoliosis, or both bilateral iliac veins and total IVC occlusion. Among the other 2210 cases who underwent endovascular therapy, stents were implanted into IVC in 339 cases, HV in 97 cases, mixed type in 64 cases. The rate of restenosis in IVC stent was 11.50%(39/339). After repeat angioplasty, the long-term patency rate reached to 98.12%. The incidence of HV occlusion caused by IVC stent was 12.09%(n = 41). Restenosis occurred in 47 cases(48.45%) after HV stent placement. However, the 5-year patency rate was 91.75%(89/97) after repeat dilatation and stent re-implantation. The incidence of IVC obstruction caused by HV was 3.33%(3 cases). Conclusion IVC stent placement appears to be an effective treatment for the cases of IVC segmental occlusion, and at the same time, the stent has the dual role of compression and fixation of thrombus and support of lumen. The HV and accessory hepatic vein obstruction could happen when the IVC stent crossed these veins ostium. The incidence of the stent restenosis in the HV was higher than that in the IVC. | Maoheng Zu Hao Xu Yuming Gu Qingqiao Zhang Ning Wei Wei Xu Yanfeng Cui | 2018 | Journal of Interventional Medicine2018，1，3： | 7 |
| 3 | The spatial pattern of farming and factors influencing it during the Peiligang culture period in the middle Yellow River valley, China显示文摘The Peiligang culture(ca.7000–5000 cal BC)is the earliest Neolithic culture in the middle Yellow River valley and represents the emergence of cereal farming in the region[1].It has long been considered representative of millet farming[2],which requires a dry field,a certain amount of rainfall,and minimal crop management,but new records reveal that mixed farming of millet and rice(Oryza sp.)took place during this period[3].Therefore,it is possible | Can Wang Houyuan Lu Wanfa Gu Naiqin Wu Jianping Zhang Xinxin Zuo Fengjiang Li Daojing Wang Yajie Dong Songzhi Wang Yanfeng Liu Yingjian Bao Yayi Hu | 2017 | Science Bulletin2017，62，23： | 6 |
| 4 | Application of chemical vapor-deposited monolayer ReSe2 in the electrocatalytic hydrogen evolution reaction显示文摘 | Shaolong Jiang Zhepeng Zhang Na Zhang Yahuan Huan Yue Gong Mengxing Sun Jianping Shi Chunyu Xie Pengfei Yang Qiyi Fang He Li Lianming Tong Dan Xie Lin Gu Porun Liu Yanfeng Zhang | 2018 | Nano Research2018，11，4： | 6 |
| 5 | UAV-based integrated multispectral-LiDAR imaging system and data processing显示文摘In the field of remote sensing imaging, multispectral imaging can obtain an image of the observed scene in several bands, while the light detection and ranging(LiDAR) can acquire the accurate 3D geometric information of the scene. With the development of remote sensing technology, how to effectively integrate the two imaging technologies in order to collect and process simultaneous spectral and 3D geometric information has been one of the frontier problems. Most of the present researches on simultaneous spectral and geometric data acquisition focus on the design of physical multispectral LiDAR system, which inevitably lead to an imaging system of heavy weight and high power consumption and thus inconvenient in practice. Different from the present researches, a UAV-based integrated multispectral-LiDAR system is introduced in this paper. Through simultaneous multi-sensor data collection and multispectral point cloud generation, a low-cost and UAV-based portable 3D geometric and spectral information acquisition system can be achieved. | GU YanFeng JIN XuDong XIANG RunZi WANG QingWang WANG Chen YANG ShengXiong | 2020 | Science China(Technological Sciences)2020，63，7： | 6 |
| 6 | Multimodal hyperspectral remote sensing:an overview and perspective显示文摘Since the advent of hyperspectral remote sensing in the 1980 s,it has made important achievements in aerospace and aviation field and been applied in many fields.Conventional hyperspectral imaging spectrometer extends the number of spectral bands to dozens or hundreds,and provides spatial distribution of the reflected solar radiation from the scene of observation at the same time.Nowadays,with the fast development of new technology in the fields of information and photoelectricity sensing,and the popularity of unmanned aerial vehicle,hyperspectral remote sensing imaging presents the new trends of multimodality and acquires integration information while keeping high or very-high spectral resolution,especially,high temporal even real time sensing and stereo sensing.Therefore,three important modes of hyperspectral imaging come into existence:(1)multitemporal hyperspectral imaging,which refers to the observation of same region at different dates;(2)hyperspectral video imaging,which captures full frame spectral images in real-time;(3)hyperspectral stereo imaging,which obtains the full dimension information(including 2D image,elevation,and spectra)of observed scene.Along this perspective,firstly,the current researches on hyperspectral remote sensing and image processing are briefly reviewed,and then,comprehensive descriptions of the aforementioned three main hyperspectral imaging modes are carried out from the following four aspects:fundamental principle of new mode of hyperspectral imaging,corresponding scientific data acquisition,data processing and application,and potential challenges in data representation,feature learning and interpretation.Through the analysis of development trend of hyperspectral imaging and current research situation,we hope to provide a direction for future research on multimodal hyperspectral remote sensing. | Yanfeng GU Tianzhu LIU Guoming GAO Guangbo REN Yi MA Jocelyn CHANUSSOT Xiuping JIA | 2021 | Science China(Information Sciences)2021，64，2： | 6 |
| 7 | Microcavity top-emission perovskite light-emitting diodes显示文摘Light-emitting diodes(LEDs)based on perovskites show great potential in lighting and display applications.However,although perovskite films with high photoluminescence quantum efficiencies are commonly achieved,the efficiencies of perovskite LEDs are largely limited by the low light out-coupling efficiency.Here,we show that high-efficiency perovskite LEDs with a high external quantum efficiency of 20.2% and an ultrahigh radiant exitance up to 114.9mWcm^(−2) can be achieved by employing the microcavity effect to enhance light extraction.The enhanced microcavity effect and light outcoupling efficiency are confirmed by the study of angle-dependent emission profiles.Our results show that both the optical and electrical properties of the device need to be optimized to achieve high-performance perovskite LEDs. | Yanfeng Miao Lu Cheng Wei Zou Lianghui Gu Ju Zhang Qiang Guo Qiming Peng Mengmeng Xu Yarong He Shuting Zhang Yu Cao Renzhi Li Nana Wang Wei Huang Jianpu Wang | 2020 | Light(Science & Applications)2020，9，1： | 4 |
| 8 | Deep feature extraction and motion representation for satellite video scene classification显示文摘Satellite video scene classification(SVSC)is an advanced topic in the remote sensing field,which refers to determine the video scene categories from satellite videos.SVSC is an important and fundamental step for satellite video analysis and understanding,which provides priors for the presence of objects and dynamic events.In this paper,a two-stage framework is proposed to extract spatial features and motion features for SVSC.More specifically,the first stage is designed to extract spatial features for satellite videos.Representative frames are firstly selected based on the blur detection and spatial activity of satellite videos.Then the fine-tuned visual geometry group network(VGG-Net)is transferred to extract spatial features based on spatial content.The second stage is designed to build motion representation for satellite videos.The motion representation of moving targets in satellite videos is first built by the second temporal principal component of principal component analysis(PCA).Second,features from the first fully connected layer of VGG-Net are used as high-level spatial representation for moving targets.Third,a small network of long and short term memory(LSTM)is further designed for encoding temporal information.Two-stage features respectively characterize spatial and temporal patterns of satellite scenes,which are finally fused for SVSC.A satellite video dataset is built for video scene classification,including 7209 video segments and covering 8 scene categories.These satellite videos are from Jilin-1 satellites and Urthecast.The experimental results show the efficiency of our proposed framework for SVSC. | Yanfeng GU Huan LIU Tengfei WANG Shengyang LI Guoming GAO | 2020 | Science China(Information Sciences)2020，63，4： | 4 |
| 9 | Polarization-independent all-silicon dielectric metasurfaces in the terahertz regime显示文摘Dielectric metasurfaces have achieved great success in realizing high-efficiency wavefront control in the optical and infrared ranges. Here, we experimentally demonstrate several efficient, polarization-independent, all-silicon dielectric metasurfaces in the terahertz regime. The metasurfaces are composed of cylindrical silicon pillars on a silicon substrate, which can be easily fabricated using etching technology for semiconductors. By locally tailoring the diameter of the pillars, full control over abrupt phase changes can be achieved. To show the controlling ability of the metasurfaces, an anomalous deflector, three Bessel beam generators, and three vortex beam generators are fabricated and characterized. We also show that the proposed metasurfaces can be easily combined to form composite devices with extended functionalities. The proposed controlling method has promising applications in developing low-loss, ultra-compact spatial terahertz modulation devices. | HUIFANG ZHANG XUEQIAN ZHANG QUAN XU QIU WANG YUEHONG XU MINGGUI WEI YANFENG LI JIANQIANG GU ZHEN TIAN CHUNMEI OUYANG XIXIANG ZHANG CONG HU JIAGUANG HAN WEILI ZHANG | 2018 | Photonics Research2018，9，1： | 4 |
| 10 | Parameter feature extraction for hyperspectral detection of the shallow underwater target显示文摘For the detection of shallow underwater targets by the hyperspectrum, the information of the target is carried in the water-leaving radiation. However, the differences between the water-leaving radiation of the underwater target and the ocean background radiation are not significant, and the spectrum of the water-leaving radiation is sensitive to the changes of the marine environment. Therefore, taking the spectrum as the feature is not stable for hyperspectral detection of the underwater target. In this paper, we propose a parameter feature extraction method for hyperspectral detection of the shallow underwater target. The presence of an underwater target would change the optical properties of seawater in a local place. Based on that, a quasianalytical model of the water-leaving radiation is adopted to inverse the properties of the marine environment from the radiated spectrum. Then the inversed water depth and bottom reference reflectance are taken as the features. Simulation results show that the samples which belong to the water-leaving radiation of underwater target have higher inversed depth and reference reflectance than that belong to the ocean background radiation. Furthermore, these two kinds of samples can be separated significantly and stably in a 2-dimension feature space. | XIA Zhi GU YanFeng | 2021 | Science China(Technological Sciences)2021，64，5： | 3 |
| 11 | Triangulation of red sprites observed above a mesoscale convective system in North China显示文摘The triangulation of red sprites was obtained, based on concurrent observations over a mesoscale convective system(MCS) in North China from two stations separated by about 450 km. In addition, broadband sferics from the sprite-producing lightning were measured at five ground stations, making it possible to locate and identify the individual causative lightning discharges for different elements in this dancing sprite event. The results of our analyses indicate that the sprites were produced above the trailing stratiform region of the MCS, and their parent strokes were located mainly in the peripheral area of the stratiform. The lateral offset between sprites and causative strokes ranges from a few km to more than 50 km. In a particularly bright sprite, with a distinct halo feature and streamers descending down to an altitude of approximately 48 km, the sprite current signal identified in the electric sferic, measured at a range of about 1,110 km, peaked at approximately 1 ms after the return stroke. | YongPing Wang GaoPeng Lu Ming Ma HongBo Zhang YanFeng Fan GuoJin Liu ZheRun Wan Yu Wang Kang-Ming Peng ChangZhi Peng FeiFan Liu BaoYou Zhu BinBin Ni XuDong Gu Long Chen Juan Yi RuoXian Zhou | 2019 | Earth and Planetary Physics2019，3，2： | 2 |
| 12 | Multi-attribute smooth graph convolutional network for multispectral points classification显示文摘Multispectral points, as a new data source containing both spectrum and spatial geometry, opens the door to three-dimensional(3D) land cover classification at a finer scale. In this paper, we model the multispectral points as a graph and propose a multiattribute smooth graph convolutional network(Ma SGCN) for multispectral points classification. We construct the spatial graph,spectral graph, and geometric-spectral graph respectively to mine patterns in spectral, spatial, and geometric-spectral domains.Then, the multispectral points graph is generated by combining the spatial, spectral, and geometric-spectral graphs. Moreover,dimensionality features and spectrums are introduced to screen the appropriate connection points for constructing the spatial graph. For remote sensing scene classification tasks, it is usually desirable to make the classification map relatively smooth and avoid salt and pepper noise. A heat operator is then introduced to enhance the low-frequency filters and enforce the smoothness in the graph signal. Considering that different land covers have different scale characteristics, we use multiple scales instead of the single scale when leveraging heat operator on graph convolution. The experimental results on two real multispectral points data sets demonstrate the superiority of the proposed Ma SGCN to several state-of-the-art methods. | WANG QingWang GU YanFeng YANG Min WANG Chen | 2021 | Science China(Technological Sciences)2021，64，11： | 2 |
| 13 | A Kernel- based nonparametric regression method for clutter removalin infrared small-target detection applications 显示文摘 | Yanfeng Gu Chen Wang Bao-xue Liu | 2010 | IEEE Geoscience and Remote Sensing Letters2010，7，3： | 1 |
| 14 | The C_(6)D_(6)detector system on the Back-n beam line of CSNS显示文摘Introduction The neutron capture cross sections are very important in the field of nuclear device design and basic physics research.Hydrogen-free liquid scintillator such as C_(6)D_(6)detectors are widely used in the neutron capture cross-sectional measurements for the low neutron sensitivity and fast time response.The Back-n white neutron source at China Spallation Neutron Source is the first spallation white neutron source in China,and it is suitable for neutron capture cross-sectional measurement.Materials and methods A C_(6)D_(6)detector system was built in the Back-n experimental station.The pulse height weighting technique was used to determine the system’s detection efficiency.The response to gamma rays of the C_(6)D_(6)detector was measured,and the energy resolution function was determined.Monte Carlo simulation with Geant4 code was carried out to get the weighting function of this C_(6)D_(6)detector system.Additionally,the systematic uncertainty of the weighting function was also determined.Conclusion According to the experimental and simulation results,this C_(6)D_(6)detector system can be used to measure neutron capture cross section. | Jie Ren Xichao Ruan Jie Bao Guangyuan Luan Wei Jiang Qi An Huaiyong Bai Ping Cao Qiping Chen Yonghao Chen Pinjing Cheng Zengqi Cui Ruirui Fan Changqing Feng Minhao Gu Fengqin Guo Changcai Han Zijie Han Guozhu He Yongcheng He Yuefeng He Hanxiong Huang Weiling Huang Xiru Huang Xiaolu Ji Xuyang Ji Haoyu Jiang Hantao Jing Ling Kang Mingtao Kang Bo Li Lun Li Qiang Li Xiao Li Yang Li Yang Li Rong Liu Shubin Liu Xingyan Liu Yinglin Ma Changjun Ning Binbin Qi Zhaohui Song Hong Sun Xiaoyang Sun Zhijia Sun Zhixin Tan Hongqing Tang Jingyu Tang Pengcheng Wang Qi Wang Taofeng Wang Yanfeng Wang Zhaohui Wang Zheng Wang Jie Wen Zhongwei Wen Qingbiao Wu Xiaoguang Wu Xuan Wu Likun Xie Yiwei Yang Han Yi Li Yu Tao Yu Yongji Yu Guohui Zhang Jing Zhang Linhao Zhang Liying Zhang Qingmin Zhang Qiwei Zhang Xianpeng Zhang Yuliang Zhang Zhiyong Zhang Yingtan Zhao Liang Zhou Zuying Zhou Danyang Zhu Kejun Zhu Peng Zhu | 2019 | Radiation Detection Technology and Methods2019，3，3： | 1 |
| 15 | Synthesis of sandwich-like TiO 2 @C composite hollow spheres with high rate capability and stability for lithium-ion batteries显示文摘 | Lichen Liu Qi Fan Chuanzhi Sun Xianrui Gu Hao Li Fei Gao Yanfeng Chen Lin Dong | 2013 | Journal of Power Sources2013，，： | 1 |
| 16 | A kernel-based nonparametric regression method for clutter removal in infrared small-target detection applications显示文摘 | Yanfeng Gu Chen Wang Baoxue Liu | 2010 | Geoscience and Remote Sensing Letters IEEE2010，7，3： | 1 |
| 17 | A Kernel-Based Nonparametric Regression Method for Clutter Removal in Infrared Small-Target Detection Applications 显示文摘 | Yanfeng Gu Chen Wang Baoxue Liu | 2010 | Geoscience and Remote Sensing Let- ters IEEE2010，7，3： | 1 |
| 18 | A selective KPCA algorithm based on high-order statistics for anomaly detection in hyper-spectral imagery显示文摘 | Yanfeng Gu Ying Liu Ye Zhang | 2008 | IEEE Geoscience and Remote Sensing Letters2008，5，1： | 1 |
| 19 | Unsupervised hyperspectral target detection based on multiresolution image fusion显示文摘 | GU Yanfeng JIA Youhua ZHANG Ye | 2004 | ICSP2004 Proceeding IEEE Signal Processing Society2004，2，： | 1 |
| 20 | Comparison of yield components and plant type characteristics of high-yield rice between Taoyuan, a ‘special eco-site’ and Nanjing, China显示文摘 | Ganghua Li Lihong Xue Wei Gu Congdang Yang Shaohua Wang Qihong Ling Xia Qin Yanfeng Ding | 2009 | Field Crops Research2009，，2： | 1 |
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