2026 Xiaodan Zhu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	40	9113	8852	361	345	105	10011

Overview

Xiaodan Zhu is affiliated with Queen's University in Canada and specializes in the field of Computer Science, with a focus on Artificial Intelligence. Their research encompasses various subfields including Computer Vision and Pattern Recognition, Molecular Biology, Political Science and International Relations, and Materials Chemistry.

The primary topics addressed in their work are:

Topic Modeling
Natural Language Processing Techniques
Speech and dialogue systems
Multimodal Machine Learning Applications
Explainable Artificial Intelligence (XAI)
Artificial Intelligence in Law
Sentiment Analysis and Opinion Mining

Xiaodan Zhu has coauthored extensively with researchers such as Rohan Bhambhoria, Samuel Dahan, Quan Liu, Stephen Obadinma, and Zhen-Hua Ling.

The scientist's recent papers include:

Demand Forecasting with Supply-Chain Information and Machine Learning: Evidence in the Pharmaceutical Industry (2021), published in Production and Operations Management
Wearable Sensor-Based Sign Language Recognition: A Comprehensive Review (2020), published in IEEE Reviews in Biomedical Engineering
Learning Cross-Modal Context Graph for Visual Grounding (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
Optimal scheduling of park-level integrated energy system considering ladder-type carbon trading mechanism and flexible load (2023), published in Energy Reports
Mitochondrial dysfunction in hearing loss: Oxidative stress, autophagy and NLRP3 inflammasome (2023), published in Frontiers in Cell and Developmental Biology

The frequent publication venues where Xiaodan Zhu has contributed include:

arXiv (Cornell University)
SSRN Electronic Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Physics Letters B

Xiaodan Zhu has also published books through Springer Science+Business Media, including Natural Language Processing and Chinese Computing and Advances in Artificial Intelligence, both released in 2020.

Best Publications

Enhanced LSTM for Natural Language Inference

Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

1180
Citations
NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets

Saif Mohammad;Svetlana Kiritchenko;Xiaodan Zhu

1091
Citations
Sentiment analysis of short informal texts

Svetlana Kiritchenko;Xiaodan Zhu;Saif M. Mohammad

1067
Citations
SemEval-2016 Task 6: Detecting Stance in Tweets

Saif Mohammad;Svetlana Kiritchenko;Parinaz Sobhani;Xiaodan Zhu

897
Citations
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews

Svetlana Kiritchenko;Xiaodan Zhu;Colin Cherry;Saif Mohammad

775
Citations
Long Short-Term Memory Over Recursive Structures

Xiaodan Zhu;Parinaz Sobihani;Hongyu Guo

340
Citations
Sentiment, emotion, purpose, and style in electoral tweets

Saif M. Mohammad;Xiaodan Zhu;Svetlana Kiritchenko;Joel Martin

297
Citations
Measuring academic influence: Not all citations are equal

Xiaodan Zhu;Peter D. Turney;Daniel Lemire;André Vellino

295
Citations
Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010

Berry de Bruijn;Colin Cherry;Svetlana Kiritchenko;Joel D. Martin

281
Citations
Neural Natural Language Inference Models Enhanced with External Knowledge

Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Diana Inkpen

272
Citations
Induction Networks for Few-Shot Text Classification.

Ruiying Geng;Binhua Li;Yongbin Li;Xiaodan Zhu

220
Citations
NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets

Xiaodan Zhu;Svetlana Kiritchenko;Saif Mohammad

164
Citations
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots

Jia-Chen Gu;Tianda Li;Quan Liu;Zhen-Hua Ling

161
Citations
A Dataset for Multi-Target Stance Detection.

Parinaz Sobhani;Diana Inkpen;Xiaodan Zhu

137
Citations
Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference.

Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

130
Citations
Wearable Sensor-Based Sign Language Recognition: A Comprehensive Review

Karly Kudrinko;Emile Flavin;Xiaodan Zhu;Qingguo Li

130
Citations
SemEval-2020 Task 4: Commonsense Validation and Explanation

Cunxiang Wang;Shuailong Liang;Yili Jin;Yilong Wang

123
Citations
Analysis of polarity information in medical text.

Yun Niu;Xiaodan Zhu;Jianhua Li;Graeme Hirst

114
Citations
Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts

Preslav Nakov;Sara Rosenthal;Svetlana Kiritchenko;Saif M. Mohammad

113
Citations
Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference

Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

101
Citations
A Dataset for Detecting Stance in Tweets.

Saif Mohammad;Svetlana Kiritchenko;Parinaz Sobhani;Xiao-Dan Zhu

94
Citations
Improving Image Captioning with Better Use of Caption

Zhan Shi;Xu Zhou;Xipeng Qiu;Xiaodan Zhu

67
Citations

Frequent Co-Authors

Zhen-Hua Ling University of Science and Technology of China

Saif M. Mohammad National Research Council Canada

Svetlana Kiritchenko National Research Council Canada

Hui Jiang York University

Diana Inkpen University of Ottawa

Colin Cherry Google (Canada)

Luo Si Alibaba Group (China)

Graeme Hirst University of Toronto

Stan Matwin Dalhousie University

Mo Yu IBM (United States)

External Links

Personal website of Xiaodan Zhu Google Scholar page

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