Asosiy kontentga oʻtish
AkademScholar
Muassasalar

Xi’an Jiaotong-Liverpool University

Nom variantlari: XJTLU · Xī’ān Jiāotōng Lìwùpǔ Dàxúe

Davlat:
CN
ROR:
https://ror.org/03zmrmn05
5
h-indeks
125
Iqtiboslar
48
Asarlar
65
Mualliflar
Vaqt boʻyicha

Vaqt boʻyicha tahlil

Iqtibos sharhi

Yillar boʻyicha nashrlar (ustun) va iqtiboslar (chiziq)

  • Nashrlar
  • Iqtiboslar
035810025507510020172018201920202021202220232024202520262017: Nashrlar 1, Iqtiboslar 02018: Nashrlar 3, Iqtiboslar 02019: Nashrlar 5, Iqtiboslar 02020: Nashrlar 2, Iqtiboslar 32021: Nashrlar 0, Iqtiboslar 62022: Nashrlar 10, Iqtiboslar 32023: Nashrlar 8, Iqtiboslar 82024: Nashrlar 9, Iqtiboslar 222025: Nashrlar 6, Iqtiboslar 592026: Nashrlar 2, Iqtiboslar 22

Iqtibos tarixi

025507510020172018201920202021202220232024202520262017: Iqtiboslar 02018: Iqtiboslar 02019: Iqtiboslar 02020: Iqtiboslar 32021: Iqtiboslar 62022: Iqtiboslar 32023: Iqtiboslar 82024: Iqtiboslar 222025: Iqtiboslar 592026: Iqtiboslar 22

Nashr tarixi

03581020172018201920202021202220232024202520262017: Nashrlar 12018: Nashrlar 32019: Nashrlar 52020: Nashrlar 22021: Nashrlar 02022: Nashrlar 102023: Nashrlar 82024: Nashrlar 92025: Nashrlar 62026: Nashrlar 2

h-indeks evolyutsiyasi

Yillar boʻyicha jamlangan h-indeks

0134520172018201920202021202220232024202520262017: h-indeks 12018: h-indeks 12019: h-indeks 12020: h-indeks 22021: h-indeks 22022: h-indeks 32023: h-indeks 32024: h-indeks 42025: h-indeks 42026: h-indeks 5

Eng koʻp iqtibos qilingan asarlar

  1. Negative Hesitation Fuzzy Sets and Their Application to Pattern Recognition20234 iqtibos
  2. Analysis on the Hesitation and its Application to Decision Making20242 iqtibos
  3. A Novel Preference Scale Function Based on Poincaré Metric for Decision-Making20231 iqtibos
  4. Managing my own health! An ancillary outlook on pharmaceutical and health supplements consumption20240 iqtibos
  5. Relationship between green bonds and carbon neutrality: evidence from top five emitting countries’ sectoral CO2 emissions20250 iqtibos
  6. Advanced Techniques for Electricity Consumption Prediction in Buildings Using Comparative Correlation Analysis, Data Normalization, and Long Short-Term Memory (Lstm) Networks: A Case Study of a U.S. Commercial Building20250 iqtibos
  7. Electricity Demand Forecasting for Cultural Institutions: A Comparative Study of Lstm and Cnn-Lstm Models with Three Data Normalization Techniques Using Weather and Price Data – Case Studies from Norwegian Museums20250 iqtibos
  8. Energy Demand Forecasting for Cultural Institutions: Comparative Analysis of ANNs, Ordinary LSTM, and Hybrid CNN-LSTM Models with Three Normalization Techniques Using Weather and Price Data – Case Studies from Norwegian Museums20250 iqtibos
  9. Brain‐Inspired CMOS‐Compatible ZnSnO Synaptic Array with Ultra‐High PPF for Versatile Neuromorphic Computing20260 iqtibos
  10. Dynamic Energy Demand Forecasting in a Norwegian Commercial Store Using Local Building Time-Series Data: CNN-LSTM and Transformer Architectures Compared20260 iqtibos