2026 Qing He: 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	50	5486	5332	735	730	301	16499

Overview

Qing He is affiliated with the University of Chinese Academy of Sciences in China. Their research primarily spans the field of Computer Science, with a focus on several specialized subfields.

Their main subfields of study include:

Artificial Intelligence
Molecular Biology
Information Systems
Ecology
Computer Vision and Pattern Recognition

Qing He's research topics cover diverse areas such as:

Topic Modeling
Advanced Graph Neural Networks
Recommender Systems and Techniques
Microbial Community Ecology and Physiology
Domain Adaptation and Few-Shot Learning
Gut microbiota and health
Speech Recognition and Synthesis

The scientist has published numerous papers, with notable recent works including:

"A Comprehensive Survey on Transfer Learning" (2020), published in Proceedings of the IEEE
"Deep Subdomain Adaptation Network for Image Classification" (2020), published in IEEE Transactions on Neural Networks and Learning Systems
"A Survey on Knowledge Graph-Based Recommender Systems" (2020), published in IEEE Transactions on Knowledge and Data Engineering
"iNAP: An integrated network analysis pipeline for microbiome studies" (2022), published in iMeta
"Personalized Transfer of User Preferences for Cross-domain Recommendation" (2022), published in Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

Frequent coauthors in Qing He's collaborations include:

Fuzhen Zhuang
Xiang Ao
Ye Deng
Hui Xiong
Kai Feng

Their publications are frequently found in venues such as:

arXiv (Cornell University)
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the AAAI Conference on Artificial Intelligence
SSRN Electronic Journal
The Science of The Total Environment

Best Publications

A Comprehensive Survey on Transfer Learning

Fuzhen Zhuang;Zhiyuan Qi;Keyu Duan;Dongbo Xi

5908
Citations
Deep Subdomain Adaptation Network for Image Classification

Yongchun Zhu;Fuzhen Zhuang;Jindong Wang;Guolin Ke

1050
Citations
Parallel K-Means Clustering Based on MapReduce

Weizhong Zhao;Huifang Ma;Qing He

955
Citations
A Survey on Knowledge Graph-Based Recommender Systems

Qingyu Guo;Fuzhen Zhuang;Chuan Qin;Hengshu Zhu

862
Citations
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection

Yang Liu;Xiang Ao;Zidi Qin;Jianfeng Chi

344
Citations
Supervised representation learning: transfer learning with deep autoencoders

Fuzhen Zhuang;Xiaohu Cheng;Ping Luo;Sinno Jialin Pan

312
Citations
Parallel Implementation of Apriori Algorithm Based on MapReduce

Ning Li;Li Zeng;Qing He;Zhongzhi Shi

285
Citations
Multi-representation adaptation network for cross-domain image classification.

Yongchun Zhu;Fuzhen Zhuang;Jindong Wang;Jingwu Chen

261
Citations
Personalized Transfer of User Preferences for Cross-domain Recommendation

Yongchun Zhu;Zhenwei Tang;Yudan Liu;Fuzhen Zhuang

200
Citations
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

Zijun Sun;Xiaoya Li;Xiaofei Sun;Yuxian Meng

187
Citations
Parallel extreme learning machine for regression based on MapReduce

Qing He;Tianfeng Shang;Fuzhen Zhuang;Zhongzhi Shi

186
Citations
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings

Feiyang Pan;Shuokai Li;Xiang Ao;Pingzhong Tang

184
Citations
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion

Zhao Zhang;Fuzhen Zhuang;Hengshu Zhu;Zhiping Shi

179
Citations
Intelligent financial fraud detection practices in post-pandemic era.

Xiaoqian Zhu;Xiang Ao;Zidi Qin;Yanpeng Chang

169
Citations
Extreme support vector machine classifier

Qiuge Liu;Qing He;Zhongzhi Shi

147
Citations
Exploiting associations between word clusters and document classes for cross-domain text categorization

Fuzhen Zhuang;Ping Luo;Hui Xiong;Qing He

137
Citations
Transfer learning from multiple source domains via consensus regularization

Ping Luo;Fuzhen Zhuang;Hui Xiong;Yuhong Xiong

131
Citations
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users

Yongchun Zhu;Kaikai Ge;Fuzhen Zhuang;Ruobing Xie

128
Citations
Learning deep representations via extreme learning machines

Wenchao Yu;Fuzhen Zhuang;Qing He;Zhongzhi Shi

127
Citations
Clustering in extreme learning machine feature space

Qing He;Xin Jin;Changying Du;Fuzhen Zhuang

117
Citations
Energy model for rumor propagation on social networks

Shuo Han;Fuzhen Zhuang;Qing He;Zhongzhi Shi

117
Citations
Hemispherand-Strapped Calix[4]pyrrole: An Ion-pair Receptor for the Recognition and Extraction of Lithium Nitrite

Qing He;Zhan Zhang;James T. Brewster;Vincent M. Lynch

113
Citations
Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network

Qiwei Zhong;Yang Liu;Xiang Ao;Binbin Hu

113
Citations

Frequent Co-Authors

Fuzhen Zhuang Beihang University

Zhongzhi Shi Chinese Academy of Sciences

Hui Xiong Rutgers, The State University of New Jersey

Max Q.-H. Meng Southern University of Science and Technology

Xing Xie Microsoft Research Asia (China)

Ning Zhang Tsinghua University

Jiwei Li Zhejiang University

Sinno Jialin Pan Chinese University of Hong Kong

Xiangliang Zhang University of Notre Dame

Jie Lu University of Technology Sydney

External Links

Personal website of Qing He Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Pursuing Computer Science in the USA opens diverse opportunities across the tech sector. Students today can take advantage of multiple flexible options to fit their circumstances and goals. For instance, many learners are seeking most useful masters degrees, such as an MS in Computer Science, to boost their expertise and job prospects.

If you’re just getting started, earning an online associate degree in computer science or IT can provide foundational skills and credentials. These programs are often designed for flexibility and can pave the way to entry-level tech roles or future bachelor’s studies.

Cost is a key concern for many students, and there are cheap online college classes that make higher education more accessible than ever. In addition, for those who may not have a perfect academic record, you’ll find a variety of options among the college that accepts low gpa applicants.

Whether you are advancing your education, starting your journey, or seeking affordable and accessible pathways, the landscape for online computer science study in the USA is more open and supportive than ever.