2026 Ting Liu: 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	75	1396	1353	189	187	465	26989

Ting Liu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ting Liu sits on this spectrum.

32 publications 991+

This scientist: 465 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ting Liu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ting Liu sits on this spectrum.

30 D-Index 131+

This scientist: 75 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Ting Liu is affiliated with the Harbin Institute of Technology in China, contributing primarily to the field of Computer Science with a focus on Artificial Intelligence. Their work spans several prominent research topics including Topic Modeling, Natural Language Processing Techniques, and Speech and Dialogue Systems.

Liu's publication record includes recent works in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, and Chemosphere. Notable papers include:

"A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions" (2023) published in arXiv (Cornell University)
"HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge" (2023) published in arXiv (Cornell University)
"Generating Persona Consistent Dialogues by Exploiting Natural Language Inference" (2020) published in Proceedings of the AAAI Conference on Artificial Intelligence
"The catalytic oxidation process of atrazine by ozone microbubbles: Bubble formation, ozone mass transfer and hydroxyl radical generation" (2023) published in Chemosphere
"Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses" (2020) published in Proceedings of the AAAI Conference on Artificial Intelligence

Their frequent co-authors reflect long-term collaborative relationships in the research community. These collaborators include:

Bing Qin
Wanxiang Che
Weinan Zhang
Xiaocheng Feng
Xiao Ding

Liu's work has been disseminated in a variety of venues, with the most frequent being:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Chemosphere
Findings of the Association for Computational Linguistics: ACL 2022
ACM Transactions on Intelligent Systems and Technology

Their research covers multiple subfields of Computer Science beyond Artificial Intelligence, including Computer Vision and Pattern Recognition, Materials Chemistry, Information Systems, and Social Psychology. This multidisciplinary approach is reflected in various topics such as Text Readability and Simplification, Multimodal Machine Learning Applications, and Advanced Graph Neural Networks.

Ting Liu has also contributed scholarly work in book form, including a publication with Springer Science+Business Media titled "Chinese Lexical Semantics" released in 2022.

Best Publications

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Zhangyin Feng;Daya Guo;Duyu Tang;Nan Duan

2399
Citations
Document Modeling with Gated Recurrent Neural Network for Sentiment Classification

Duyu Tang;Bing Qin;Ting Liu

1816
Citations
Pre-Training with Whole Word Masking for Chinese BERT

Yiming Cui;Wanxiang Che;Ting Liu;Bing Qin

1552
Citations
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification

Duyu Tang;Furu Wei;Nan Yang;Ming Zhou

1519
Citations
Aspect Level Sentiment Classification with Deep Memory Network

Duyu Tang;Bing Qin;Ting Liu

1057
Citations
Effective LSTMs for Target-Dependent Sentiment Classification

Duyu Tang;Bing Qin;Xiaocheng Feng;Ting Liu

836
Citations
Deep learning for event-driven stock prediction

Xiao Ding;Yue Zhang;Ting Liu;Junwen Duan

737
Citations
LTP: A Chinese Language Technology Platform

Wanxiang Che;Zhenghua Li;Ting Liu

641
Citations
Attention-over-Attention Neural Networks for Reading Comprehension

Yiming Cui;Zhipeng Chen;Si Wei;Shijin Wang

513
Citations
Learning Semantic Representations of Users and Products for Document Level Sentiment Classification

Duyu Tang;Bing Qin;Ting Liu

395
Citations
Computer-aided writing system and method with cross-language writing wizard

Ting Liu;Ming Zhou;Jian Wang

369
Citations
Sentiment Embeddings with Applications to Sentiment Analysis

Duyu Tang;Furu Wei;Bing Qin;Nan Yang

342
Citations
Learning Semantic Hierarchies via Word Embeddings

Ruiji Fu;Jiang Guo;Bing Qin;Wanxiang Che

324
Citations
Coooolll: A Deep Learning System for Twitter Sentiment Classification

Duyu Tang;Furu Wei;Bing Qin;Ting Liu

323
Citations
Using Structured Events to Predict Stock Price Movement: An Empirical Investigation

Xiao Ding;Yue Zhang;Ting Liu;Junwen Duan

303
Citations
A stack-propagation framework with token-level intent detection for spoken language understanding

Libo Qin;Wanxiang Che;Yangming Li;Haoyang Wen

297
Citations
A language-independent neural network for event detection

Xiaocheng Feng;Bing Qin;Ting Liu

265
Citations
A Language-Independent Neural Network for Event Detection.

Xiaocheng Feng;Lifu Huang;Duyu Tang;Heng Ji

256
Citations
Color image encryption by using Arnold transform and color-blend operation in discrete cosine transform domains

Zhengjun Liu;Lie Xu;Ting Liu;Hang Chen

255
Citations
Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach

Duyu Tang;Furu Wei;Bing Qin;Ming Zhou

228
Citations
Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation

Wanxiang Che;Yijia Liu;Yuxuan Wang;Bo Zheng

205
Citations

Frequent Co-Authors

Bing Qin Harbin Institute of Technology

Wanxiang Che Harbin Institute of Technology

Duyu Tang Fudan University

Haifeng Wang Baidu (China)

Yue Zhang Westlake University

Furu Wei Microsoft (United States)

Ming Zhou Langboat Technology

Meishan Zhang Harbin Institute of Technology

Meng Jiang University of Notre Dame

Laurie Beth Feldman University at Albany, State University of New York

External Links

Personal website of Ting Liu 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 doors to many related online degrees and career paths. Some students look for cross-disciplinary programs, such as electrical engineering, which is closely tied to fields like robotics or hardware development. If that fits your interests, you can explore electrical engineering degree online admissions to find flexible options that match your schedule.

For those who want to boost their employability quickly, there are also easy certifications that pay well. These certifications help you gain marketable skills fast, making them ideal for career changers or students seeking immediate job prospects.

If you are considering an advanced degree but are concerned about time and commitment, there are shortest master degree programs that can help you achieve your goals in less than two years. Many of these programs focus on in-demand tech skills.

Finally, understanding what programs are in demand is crucial. Explore the most valuable masters degrees to align your study plans with current market trends and maximize your future opportunities.