×
验证码:
换一张
Forgotten Password?
Stay signed in
Login With UMPASS
English
|
繁體
Login With UMPASS
Log In
ALL
ORCID
TI
AU
PY
SU
KW
TY
JN
DA
IN
PB
FP
ST
SM
Study Hall
Image search
Paste the image URL
Home
Faculties & Institutes
Scholars
Publications
Subjects
Statistics
News
Search in the results
Faculties & Institutes
Faculty of Scien... [4]
THE STATE KEY LA... [3]
Institute of Chi... [1]
INSTITUTE OF APP... [1]
THE STATE KEY LA... [1]
Authors
YAN WANGJI [2]
ZHOU YICONG [1]
LI PENG [1]
CHENGZHONG XU [1]
KONG HUI [1]
Document Type
Journal article [8]
Date Issued
2024 [2]
2023 [2]
2021 [1]
2017 [3]
Language
英語English [7]
Source Publication
Mechanical Syste... [2]
Remote Sensing [2]
IEEE Transaction... [1]
Journal of Collo... [1]
Microchemical Jo... [1]
REMOTE SENSING [1]
More...
Indexed By
SCIE [8]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-8 of 8
Help
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Issue Date Ascending
Issue Date Descending
Title Ascending
Title Descending
Author Ascending
Author Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
A hierarchical porous Fe3O4-COOH@H-ZIF-67 composite as magnetic solid-phase extraction adsorbent for benzimidazole pesticides
Journal article
Chen Ling-Xiao, Wang Jia-Li, Chai Tong-Qing, Li Jia-Xin, LI PENG, Yang Feng-Qing. A hierarchical porous Fe3O4-COOH@H-ZIF-67 composite as magnetic solid-phase extraction adsorbent for benzimidazole pesticides[J]. Microchemical Journal, 2024, 207, 111870.
Authors:
Chen Ling-Xiao
;
Wang Jia-Li
;
Chai Tong-Qing
;
Li Jia-Xin
;
LI PENG
; et al.
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
IF:
4.9
/
4.5
|
Submit date:2024/10/11
Benzimidazoles
Hierarchical Porous
Magnetic Solid-phase Extraction
Wastewater
Zeolite Imidazolate Framework-67
A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes
Journal article
Ping, Menghao, Jia, Xinyu, Papadimitriou, Costas, Han, Xu, Jiang, Chao, Yan, Wang Ji. A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes[J]. Mechanical Systems and Signal Processing, 2024, 208, 110968.
Authors:
Ping, Menghao
;
Jia, Xinyu
;
Papadimitriou, Costas
;
Han, Xu
;
Jiang, Chao
; et al.
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
7.9
/
8.0
|
Submit date:2024/02/22
Hierarchical Bayesian Modeling Framework
Improved Orthogonal Series Expansion
Model Class Selection
Non-gaussian Pdf Estimation
Non-gaussian Process
Polynomial Chaos Expansion
A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification
Journal article
Ping, Menghao, Jia, Xinyu, Papadimitriou, Costas, Han, Xu, Jiang, Chao, Yan, Wangji. A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification[J]. Mechanical Systems and Signal Processing, 2023, 187, 109933.
Authors:
Ping, Menghao
;
Jia, Xinyu
;
Papadimitriou, Costas
;
Han, Xu
;
Jiang, Chao
; et al.
Favorite
|
TC[WOS]:
6
TC[Scopus]:
6
IF:
7.9
/
8.0
|
Submit date:2023/04/03
Hierarchical Bayesian Framework
Gaussian Processes Or Fields
Improved Orthogonal Series Expansion
Model Class Selection
Structural Dynamics
HPPLO-Net: Unsupervised LiDAR Odometry Using a Hierarchical Point-to-Plane Solver
Journal article
Zhou,Beibei, Tu,Yiming, Jin,Zhong, Xu,Chengzhong, Kong,Hui. HPPLO-Net: Unsupervised LiDAR Odometry Using a Hierarchical Point-to-Plane Solver[J]. IEEE Transactions on Intelligent Vehicles, 2023, 9(1), 2727-2739.
Authors:
Zhou,Beibei
;
Tu,Yiming
;
Jin,Zhong
;
Xu,Chengzhong
;
Kong,Hui
Favorite
|
TC[WOS]:
3
TC[Scopus]:
3
IF:
14.0
/
11.2
|
Submit date:2023/08/03
Costs
Feature Extraction
Hierarchical Framework
Laser Radar
Lidar Odometry
Msa Layer
Odometry
Optimization
Point Cloud Compression
Scene Flow
Three-dimensional Displays
Weighted Point-to-plane Svd
Electrochemical Anion-Exchanged synthesis of porous Ni/Co hydroxide nanosheets for Ultrahigh-Capacitance supercapacitors
Journal article
Hu, Qiang, Chai, Yuru, Zhou, Xinyi, Ding, Shixiang, Lin, Dunmin, Jiang, Na, Huo, Yu, Zheng, Qiaoji, Zhao, Jingxin, Qu, Guoxing. Electrochemical Anion-Exchanged synthesis of porous Ni/Co hydroxide nanosheets for Ultrahigh-Capacitance supercapacitors[J]. Journal of Colloid and Interface Science, 2021, 600, 256-263.
Authors:
Hu, Qiang
;
Chai, Yuru
;
Zhou, Xinyi
;
Ding, Shixiang
;
Lin, Dunmin
; et al.
Favorite
|
TC[WOS]:
21
TC[Scopus]:
22
IF:
9.4
/
8.2
|
Submit date:2021/12/08
Electric-field Assistance
Hierarchical Nanosheets
Hybrid Supercapacitors
Hydroxide
Metal–organic Framework
Spectral-spatial response for hyperspectral image classification
Journal article
Wei Yantao, Zhou Yicong, Li Hong. Spectral-spatial response for hyperspectral image classification[J]. Remote Sensing, 2017, 9(3).
Authors:
Wei Yantao
;
Zhou Yicong
;
Li Hong
Favorite
|
TC[WOS]:
24
TC[Scopus]:
24
|
Submit date:2018/12/21
Hierarchical Framework
Hyperspectral Image Classification
Joint Feature Learning
Spectral-spatial Feature
Subspace Learning
Spectral-Spatial Response for Hyperspectral Image Classification
Journal article
Wei, Yantao, Zhou, Yicong, Li, Hong. Spectral-Spatial Response for Hyperspectral Image Classification[J]. REMOTE SENSING, 2017, 9(3).
Authors:
Wei, Yantao
;
Zhou, Yicong
;
Li, Hong
Favorite
|
TC[WOS]:
24
TC[Scopus]:
24
IF:
4.2
/
4.9
|
Submit date:2018/10/30
Hierarchical Framework
Hyperspectral Image Classification
Spectral-spatial Feature
Joint Feature Learning
Subspace Learning
Spectral-Spatial Response for Hyperspectral Image Classification
Journal article
Wei, Y., Zhou, Y., Li, H.. Spectral-Spatial Response for Hyperspectral Image Classification[J]. Remote Sensing, 2017, 9(3), 203.
Authors:
Wei, Y.
;
Zhou, Y.
;
Li, H.
Favorite
|
TC[WOS]:
24
TC[Scopus]:
24
IF:
4.2
/
4.9
|
Submit date:2022/07/09
Hierarchical Framework
Hyperspectral Image Classification
Spectral-spatial Feature
Joint Feature Learning
Subspace Learning