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Amir Hussain

ResearcherPublications, citations & collaboration network

Amir Hussain is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 1,079 works, 29,270 citations, an h-index of 80 and an i10-index of 392.

1,079
Works
29,270
Citations
80
h-index
392
i10-index

How has Amir Hussain's publication output changed over time?

ScholarIQpublication output · 2015–2023

Output declined50% over the shown period — from 2 works in 2015 to 1 in 2023.

2
1
2
1
1
3
1
1
20152016201720182019202020222023

What are the most-cited papers on Amir Hussain?

ScholarIQmost cited works
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence
Vikas Hassija, Vinay Chamola, Atmesh Mahapatra, Abhinandan Singal, Divyansh Goel, Kaizhu Huang, Simone Scardapane, Indro Spinelli, Mufti Mahmud, Amir Hussain
S133078663. 20231,859 CitationsOPEN ACCESS
A review of affective computing: From unimodal analysis to multimodal fusion
Soujanya Poria, Erik Cambria, Rajiv Bajpai, Amir Hussain
S7560371. 20171,580 CitationsOPEN ACCESS
Applications of Deep Learning and Reinforcement Learning to Biological Data
Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli
IEEE Transactions on Neural Networks and Learning Systems. 2018873 CitationsOPEN ACCESS
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
Ankita Gandhi, Kinjal Adhvaryu, Soujanya Poria, Erik Cambria, Amir Hussain
S7560371. 2022732 CitationsOPEN ACCESS
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis
Soujanya Poria, Iti Chaturvedi, Erik Cambria, Amir Hussain
2016598 Citations

Related on ScholarIQ

King Fahd University of Petroleum and Minerals
Institution
Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence
Paper
A review of affective computing: From unimodal analysis to multimodal fusion
Paper
Applications of Deep Learning and Reinforcement Learning to Biological Data
Paper
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
Paper
Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis
Paper
470M+ articles · free account