Mao Nguyen

Nhà nghiên cứu Hồ sơ 5/10

12 công bố · 173 trích dẫn · h-index 5

Thông tin

🏛️Nơi công tác: Đại học Quốc gia TP.HCM
🔬Lĩnh vực: Mỏ
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Chỉ số h-index 5 xếp học giả này vào lĩnh vực Mỏ, thuộc nhóm 25% dẫn đầu trong 129 hồ sơ cùng lĩnh vực của danh bạ này.

Công bố tiêu biểu

Observation of Fourier transform limited lines in hexagonal boron nitride117 trích dẫn
Physical review. B./Physical review. B · 2018 · DOI

A Deep Architecture for Sentiment Analysis of News Articles22 trích dẫn
Advances in intelligent systems and computing · 2017 · DOI

Combination of Domain Knowledge and Deep Learning for Sentiment Analysis16 trích dẫn
Lecture notes in computer science · 2017 · DOI

Combination of domain knowledge and deep learning for sentiment analysis of short and informal messages on social media7 trích dẫn
International Journal of Computational Vision and Robotics · 2019 · DOI

Handling negative mentions on social media channels using deep learning6 trích dẫn
Journal of Information and Telecommunication · 2019 · DOI

Sequence-in-Sequence Learning for SOH Estimation of Lithium-Ion Battery2 trích dẫn
Frontiers in artificial intelligence and applications · 2021 · DOI

Reply to “Comment on ‘Observation of Fourier transform limited lines in hexagonal boron nitride’”1 trích dẫn
Physical review. B./Physical review. B · 2019 · DOI

Combination of domain knowledge and deep learning for sentiment analysis of short and informal messages on social media1 trích dẫn
International Journal of Computational Vision and Robotics · 2019 · DOI

GEO: An Approach for Out-of-Distribution Detection in Graph Neural Networks Using Energy Scoring and One-Class Learning1 trích dẫn
Lecture notes in networks and systems · 2024 · DOI

Toward a practical visual object recognition system
· 2013 · DOI

Về lĩnh vực Mỏ

129học giả

1.572công bố

27.764trích dẫn

3.7h-index trung bình

Hướng nghiên cứu phổ biến trong lĩnh vực:

Sentiment Analysis and Opinion MiningAdvanced Text Analysis TechniquesMineral Processing and GrindingTopic ModelingText and Document Classification TechnologiesMinerals Flotation and Separation Techniques

Nơi có nhiều học giả lĩnh vực này nhất: