2026 Jun Zhao: 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	60	3184	3092	426	423	293	20745

Overview

Jun Zhao is a researcher affiliated with the Chinese Academy of Sciences in China. Their work spans several areas within computer science, with a particular emphasis on artificial intelligence, biomedical engineering, computer vision and pattern recognition, renewable energy, sustainability and the environment, as well as electrical and electronic engineering.

The primary field of study for Jun Zhao is computer science, encompassing 171 publications, with a strong focus on artificial intelligence represented by 152 works. Other notable subfields include biomedical engineering with 14 publications and computer vision and pattern recognition with 10 publications.

Jun Zhao's research covers a variety of topics, including:

Topic Modeling
Natural Language Processing Techniques
Advanced Graph Neural Networks
Multimodal Machine Learning Applications
Text and Document Classification Technologies
Explainable Artificial Intelligence (XAI)
Domain Adaptation and Few-Shot Learning

Frequent coauthors working with Jun Zhao include:

Kang Liu (47 collaborations)
Yubo Chen (21 collaborations)
Shizhu He (14 collaborations)
Yuanzhe Zhang (10 collaborations)
Pengfei Cao (9 collaborations)

Publication venues frequently chosen by Jun Zhao reflect a variety of highly regarded outlets in the fields of artificial intelligence and computer science:

arXiv (Cornell University) with 21 publications
ACM Transactions on Asian and Low-Resource Language Information Processing with 6 publications
Proceedings of the AAAI Conference on Artificial Intelligence with 4 publications
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing with 4 publications
Journal of Computer Science and Technology with 3 publications

Some of the recent papers authored or coauthored by Jun Zhao include:

Joint Entity and Relation Extraction With Set Prediction Networks, 2023, IEEE Transactions on Neural Networks and Learning Systems
Stabilizing Pt Single Atoms through Pt−Se Electron Bridges on Vacancy-enriched Nickel Selenide for Efficient Electrocatalytic Hydrogen Evolution, 2023, Angewandte Chemie International Edition
What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion, 2021, BMC Medical Informatics and Decision Making
High-entropy oxide-supported platinum nanoparticles for efficient hydrogen evolution reaction, 2024, Rare Metals

Best Publications

Recurrent convolutional neural networks for text classification

Siwei Lai;Liheng Xu;Kang Liu;Jun Zhao

2844
Citations
Knowledge Graph Embedding via Dynamic Mapping Matrix

Guoliang Ji;Shizhu He;Liheng Xu;Kang Liu

1897
Citations
Relation Classification via Convolutional Deep Neural Network

Daojian Zeng;Kang Liu;Siwei Lai;Guangyou Zhou

1740
Citations
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks

Daojian Zeng;Kang Liu;Yubo Chen;Jun Zhao

1212
Citations
Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks

Yubo Chen;Liheng Xu;Kang Liu;Daojian Zeng

962
Citations
Collective entity linking in web text: a graph-based method

Xianpei Han;Le Sun;Jun Zhao

542
Citations
Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism

Xiangrong Zeng;Daojian Zeng;Shizhu He;Kang Liu

494
Citations
Knowledge graph completion with adaptive sparse transfer matrix

Guoliang Ji;Kang Liu;Shizhu He;Jun Zhao

479
Citations
How to Generate a Good Word Embedding

Siwei Lai;Kang Liu;Shizhu He;Jun Zhao

437
Citations
Learning to Represent Knowledge Graphs with Gaussian Embedding

Shizhu He;Kang Liu;Guoliang Ji;Jun Zhao

411
Citations
Distant Supervision for Relation Extraction with Sentence-level Attention and Entity Descriptions

Guoliang Ji;Kang Liu;Shizhu He;Jun Zhao

396
Citations
An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge

Yanchao Hao;Yuanzhe Zhang;Kang Liu;Shizhu He

384
Citations
A Robustly Optimized BERT Pre-training Approach with Post-training

Zhuang Liu;Wayne Lin;Ya Shi;Jun Zhao

371
Citations
Named entity disambiguation by leveraging wikipedia semantic knowledge

Xianpei Han;Jun Zhao

254
Citations
Self-Taught convolutional neural networks for short text clustering.

Jiaming Xu;Bo Xu;Peng Wang;Suncong Zheng

244
Citations
Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms

Shulin Liu;Yubo Chen;Kang Liu;Jun Zhao

230
Citations
Inner Attention based Recurrent Neural Networks for Answer Selection

Bingning Wang;Kang Liu;Jun Zhao

225
Citations
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering

Guangyou Zhou;Tingting He;Jun Zhao;Po Hu

209
Citations
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism

Pengfei Cao;Yubo Chen;Kang Liu;Jun Zhao

202
Citations
Joint Entity and Relation Extraction with Set Prediction Networks.

Dianbo Sui;Yubo Chen;Kang Liu;Jun Zhao

190
Citations
Phrase-Based Translation Model for Question Retrieval in Community Question Answer Archives

Guangyou Zhou;Li Cai;Jun Zhao;Kang Liu

182
Citations
Book review: cambridge university press, 2015, 381 pp.; hardcover, isbn 9781107017894, $80

Jun Zhao;Kang Liu;Liheng Xu

19
Citations

Frequent Co-Authors

Kang Liu Chinese Academy of Sciences

Bo Xu Chinese Academy of Sciences

Yang Liu Tsinghua University

Hua Wu Baidu (China)

Qi Zhang Fudan University

Shiming Xiang Chinese Academy of Sciences

Yulan He King's College London

Gerard de Melo Hasso Plattner Institute

Chengqing Zong Chinese Academy of Sciences

External Links

Personal website of Jun Zhao

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