×
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
Institute of Ch... [13]
Faculty of Healt... [6]
THE STATE KEY LA... [3]
Faculty of Scien... [3]
INSTITUTE OF APP... [2]
Faculty of Busin... [2]
More...
Authors
TANG ZIKANG [3]
ZHANG QINGWEN [2]
CHEN XIUPING [2]
OUYANG DEFANG [2]
YANG XI [2]
WANG YE [2]
More...
Document Type
Journal article [56]
Conference paper [4]
Book [1]
Other [1]
Report [1]
Date Issued
2024 [1]
2023 [1]
2022 [1]
2021 [1]
2020 [4]
2019 [3]
More...
Language
英語English [55]
其他語言Others [2]
Source Publication
Autophagy [2]
International Jo... [2]
Journal of Diabe... [2]
Journal of Immun... [2]
Molecular Pharma... [2]
Planta Medica [2]
More...
Indexed By
SCIE [12]
SSCI [2]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-10 of 63
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
Sense of place of tourism destinations in a metaverse paradigm
Journal article
Miao, Li, Yang, Fiona X., Hu, Jingjing, Wang, Kanye Ye, Zhang, Qiao. Sense of place of tourism destinations in a metaverse paradigm[J]. Tourism Management, 2024, 105, 104958.
Authors:
Miao, Li
;
Yang, Fiona X.
;
Hu, Jingjing
;
Wang, Kanye Ye
;
Zhang, Qiao
Favorite
|
TC[WOS]:
3
TC[Scopus]:
4
IF:
10.9
/
11.5
|
Submit date:2024/05/16
Metaverse Tourism
Paradigm Shift
Sense Of Place
Synthetic Reality
Rethinking Metaverse Tourism: A Taxonomy and an Agenda for Future Research
Journal article
Yang, Fiona X., Wang, Ye. Rethinking Metaverse Tourism: A Taxonomy and an Agenda for Future Research[J]. Journal of Hospitality and Tourism Research, 2023.
Authors:
Yang, Fiona X.
;
Wang, Ye
Favorite
|
TC[WOS]:
32
TC[Scopus]:
49
IF:
4.4
/
5.0
|
Submit date:2023/08/03
Metaverse
Metaverse Tourism
Virtual World
Synthetic Reality
Taxonomy
In Vitro & In Vivo studies on Identifying and Designing Temporin-1CEh from the Skin Secretion of Rana chensinensis as the Optimized Antibacterial Prototype Drug
Journal article
Ye, Z., Zhou , Z., Xi, X., Zai , Y., Zhou, M., Chen , X., Ma, C., Chen, T., Wang , L., Kwok, H. F.. In Vitro & In Vivo studies on Identifying and Designing Temporin-1CEh from the Skin Secretion of Rana chensinensis as the Optimized Antibacterial Prototype Drug[J]. Pharmaceutics, 2022, 604---.
Authors:
Ye, Z.
;
Zhou , Z.
;
Xi, X.
;
Zai , Y.
;
Zhou, M.
; et al.
Favorite
|
TC[WOS]:
4
TC[Scopus]:
5
IF:
4.9
/
5.5
|
Submit date:2022/06/14
Antimicrobial Activity
Temporin
Branched Peptide
Galleria Mellonella Larva Model
Aqueous production of secondary organic aerosol from fossil-fuel emissions in winter Beijing haze
Journal article
Wang, J., Ye, J., Zhang, Q., Zhao, J., Wu, Y., Li, J., Liu, D., Li, W., Zhang, Y., Wu, C., Xie, C., Qin, Y., Lei, Y., Huang, X., Guo, J., Liu, P., Fu, P., Li, Y.J., Lee, H.C., Choi, H., Zhang, J., Liao, H., Chen, M., Sun, Y., Ge, X., Martin, S.T., Jacob, D.J.. Aqueous production of secondary organic aerosol from fossil-fuel emissions in winter Beijing haze[J]. Proceedings of the National Academy of Sciences, 2021, In press-000.
Authors:
Wang, J.
;
Ye, J.
;
Zhang, Q.
;
Zhao, J.
;
Wu, Y.
; et al.
Favorite
|
TC[WOS]:
135
TC[Scopus]:
142
|
Submit date:2022/07/26
Aqueous Phase
Soa
Haze
Accumulation of TNFR2-expressing regulatory T cells in malignant pleural effusion of lung cancer patients is associated with poor prognosis
Journal article
Ye, L., Peng, W., Niu, Y., Xiang, X., Wei, X., Wang, Z., Wang, X., Zhang, Z., Chen, X.*, Zhou, Q.. Accumulation of TNFR2-expressing regulatory T cells in malignant pleural effusion of lung cancer patients is associated with poor prognosis[J]. ANNALS OF TRANSLATIONAL MEDICINE, 2020, 1647-1647.
Authors:
Ye, L.
;
Peng, W.
;
Niu, Y.
;
Xiang, X.
;
Wei, X.
; et al.
Favorite
|
|
Submit date:2022/08/30
Tumor Necrosis Factor Receptor Type 2 (Tnfr2)
Regulatory t Cells (Tregs)
Malignant Pleural Effusion (Mpe)
Bioactive Limonoids and Triterpenoids from the Fruits of Melia azedarach.
Journal article
Song, M., Zhang, J., Chan, G., Hou, Y., Chen, X. P., Zhang, X.Q., Ye, W.C., Zhang, Q. W.. Bioactive Limonoids and Triterpenoids from the Fruits of Melia azedarach.[J]. J Nat Prod, 2020, 83, 3502-3510.
Authors:
Song, M.
;
Zhang, J.
;
Chan, G.
;
Hou, Y.
;
Chen, X. P.
; et al.
Favorite
|
|
Submit date:2022/08/09
Limonoids
Triterpenoids
Melia Azedarach
TGFβ2-mediated epithelial-mesenchymal transition and NF-κB pathway activation contribute to osimertinib resistance
Journal article
Jiang, XM, Xu, YL, Yuan, LW, Zhang, LL, Huang, MY, Ye, ZH, Su, MX, Chen, X. P., Zhu, H, Ye, R, Lu, J.. TGFβ2-mediated epithelial-mesenchymal transition and NF-κB pathway activation contribute to osimertinib resistance[J]. Acta Pharmacologica Sinica, 2020, 451-459.
Authors:
Jiang, XM
;
Xu, YL
;
Yuan, LW
;
Zhang, LL
;
Huang, MY
; et al.
Favorite
|
|
Submit date:2022/08/26
Egfr Mutant Non-small Cell Lung Cancer
Nf-κb
Tgfβ2
Epithelial-mesenchymal Transition
Osimertinib Resistance
Can machine learning predict drug nanocrystals?
Journal article
He, Y., Ye, Z., Liu, X., Wei, Z., Qiu, F., Li, H., Zheng, Y.Y., Ouyang, D.. Can machine learning predict drug nanocrystals?[J]. Journal of Controlled Release, 2020, 322, 274-285.
Authors:
He, Y.
;
Ye, Z.
;
Liu, X.
;
Wei, Z.
;
Qiu, F.
; et al.
Favorite
|
TC[WOS]:
52
TC[Scopus]:
60
IF:
10.5
/
10.6
|
Submit date:2022/08/11
Machine Learningnanocrystalsparticle Sizepolydispersity Index (Pdi)Prediction
An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction
Journal article
Ye Z., Yang Y., Li X., Cao D., Ouyang D.. An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction[J]. Molecular Pharmaceutics, 2019, 16(2), 533-541.
Authors:
Ye Z.
;
Yang Y.
;
Li X.
;
Cao D.
;
Ouyang D.
Favorite
|
TC[WOS]:
57
TC[Scopus]:
69
IF:
4.5
/
4.6
|
Submit date:2019/02/14
Adme
Deep Learning
Multitask Learning
Pharmacokinetic Parameters
Transfer Learning
Deep learning for in vitro prediction of pharmaceutical formulations
Journal article
Yang Y., Ye Z., Su Y., Zhao Q., Li X., Ouyang D.. Deep learning for in vitro prediction of pharmaceutical formulations[J]. Acta Pharmaceutica Sinica B, 2019, 9(1), 177-185.
Authors:
Yang Y.
;
Ye Z.
;
Su Y.
;
Zhao Q.
;
Li X.
; et al.
Favorite
|
TC[WOS]:
88
TC[Scopus]:
112
|
Submit date:2019/02/14
Automatic Dataset Selection Algorithm
Deep Learning
Oral Fast Disintegrating Films
Oral Sustained Release Matrix Tablets
Pharmaceutical Formulation
Small Data