Standout Papers
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)
- A Survey on Knowledge Graphs: Representation, Acquisition, and Applications (2021)
- Affective Computing and Sentiment Analysis (2016)
- A review of affective computing: From unimodal analysis to multimodal fusion (2017)
- Deep Learning--based Text Classification (2021)
- New Avenues in Opinion Mining and Sentiment Analysis (2013)
- Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article] (2014)
- Aspect extraction for opinion mining with a deep convolutional neural network (2016)
- ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis (2020)
- Memory Fusion Network for Multi-view Sequential Learning (2018)
- Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM (2018)
- Deep Learning-Based Document Modeling for Personality Detection from Text (2017)
- Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis (2016)
- Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions (2022)
- Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks (2021)
- BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis (2021)
- A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics (2025)
Immediate Impact
4 by Nobel laureates 16 from Science/Nature 57 standout
Citing Papers
Mass-spectrometry-based proteomics: from single cells to clinical applications
2025 StandoutNature
Protein codes promote selective subcellular compartmentalization
2025 StandoutScience
Works of Erik Cambria being referenced
Deep Learning--based Text Classification
2021 Standout
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
2018 Standout
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Erik Cambria | 15307 | 2551 | 2305 | 2520 | 333 | 21.1k | |
| Thomas L. Griffiths | 8801 | 2558 | 1406 | 1087 | 358 | 20.9k | |
| Susan Dumais | 8669 | 1108 | 2405 | 3800 | 98 | 17.0k | |
| Joshua B. Tenenbaum | 10587 | 2444 | 6097 | 529 | 353 | 27.0k | |
| Christopher D. Manning | 13490 | 514 | 3000 | 3243 | 226 | 20.6k | |
| George A. Miller | 9008 | 3966 | 1361 | 1916 | 129 | 22.2k | |
| Thomas K. Landauer | 8749 | 2087 | 1412 | 2828 | 84 | 17.5k | |
| Amir Hussain | 6139 | 1051 | 2199 | 1090 | 573 | 13.6k | |
| Ian H. Witten | 13712 | 604 | 4831 | 6009 | 259 | 30.6k | |
| Tom M. Mitchell | 7565 | 516 | 1549 | 1714 | 136 | 17.9k | |
| David J. Hand | 6864 | 382 | 1394 | 2224 | 333 | 19.2k |
All Works
Login with ORCID to disown or claim papers
Loading papers...