Profilga Qaytish Rasmiy Elektron Ilmiy Pasport • QDTU-ILM-2026-00538
Word (.doc) CV
O‘zbekiston Respublikasi Oliy ta’lim, fan va innovatsiyalar vazirligi
ELEKTRON ILMIY PASPORT
Qarshi davlat texnika universiteti • Ilmiy faoliyat milliy reyestri
TASDIQLANGAN VA FAOL
E
ESHONKULOV UCHKUN XUDAYNAZAR O‘G‘LI
PhD • Dotsent
Geologiya va konchilik ishi kafedrasi • Neft-gaz va geologiya fakulteti
Kafedra mudiri
Verification QR QDTU-ILM-2026-00538
Scopus ID: 58950176500 ORCID: 0009-0002-8415-7218 Scholar ID: Qr4NplAAAAAJ
I. Global Ilmiy Ko‘rsatkichlar (Scientometrics Matrix)
Scopus h-index
3
29 ta iqtibos
Q1: 0
Q2: 0
Q3: 0
Q4: 0
Google Scholar
10
318 ta iqtibos
i10-indeks: 15
OAK Milliy Jurnallari
15
Tasdiqlangan maqolalar
Monografiyalar: 0 ta
Intellektual Mulk
2
Patent va DGU
Grantlar: 0 ta
II. Asosiy Ilmiy Ishlar va Natijalar (Flagship Publications)
#1 Study of the production and efficiency of variable and loading equipment in the mining of minerals
E3S Web of Conferences 491, 02022, 2024 • 2024-yil • DOI: 10.1051/e3sconf/202449102022
None 17 iqtibos
#2 An IoT-enabled dispatch framework for dynamic ore grade lending in open-pit mines: a simulation-based performance analysis
Journal of Engineering and Applied Science 72 (1), 161, 2025 • 2025-yil • DOI: 10.1186/s44147-025-00751-4
5 iqtibos
#3 A pragmatic and reproducible framework for real-time ore sorting in open-pit mining using a lightweight edge-deployed YOLO model
Journal of Engineering and Applied Science 73 (1), 43, 2026 • 2026-yil • DOI: 10.1186/s44147-026-00888-w
3 iqtibos
#4 The impact of clean fuel technology in the transportation system to reduce pollution
Procedia Environ. Sci. Eng. Manag 12 (1), 81-88, 2025 • 2025-yil
3 iqtibos
#5 Presenting an Innovative Method Based on Ensemble Learning for a Credit Approval System
Advances in Engineering and Intelligence Systems 4 (02), 67-78, 2025 • 2025-yil • DOI: 10.22034/aeis.2025.520851.1318
1 iqtibos
Qarshi davlat texnika universiteti
Ilmiy ishlar va innovatsiyalar bo‘yicha prorektorati tomonidan tasdiqlangan.
Verifikatsiya kodi: f0a7af5ed149a581f70a3a23094e718f
(Rasmiy muhr o‘rni)