Ting Liu

3.1k total citations · 2 hit papers
113 papers, 1.9k citations indexed

About

Ting Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ting Liu has authored 113 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 38 papers in Computer Vision and Pattern Recognition and 17 papers in Molecular Biology. Recurrent topics in Ting Liu's work include Topic Modeling (23 papers), Natural Language Processing Techniques (22 papers) and Video Surveillance and Tracking Methods (14 papers). Ting Liu is often cited by papers focused on Topic Modeling (23 papers), Natural Language Processing Techniques (22 papers) and Video Surveillance and Tracking Methods (14 papers). Ting Liu collaborates with scholars based in China, United States and Singapore. Ting Liu's co-authors include Qingxiong Yang, Gang Wang, Yuzhuo Fu, Suncheng Xiang, Yao Zhao, Yunchao Wei, Shikui Wei, Mingye Xie, Wanxiang Che and Tao Ruan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and The Science of The Total Environment.

In The Last Decade

Ting Liu

100 papers receiving 1.8k citations

Hit Papers

Real-time part-based visual tracking via adaptive correla... 2015 2026 2018 2022 2015 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Real-time part-based visual tracking via adaptive correlation filters
    2015 289 citations Ting Liu et al. profile →
  2. MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation
    2022 122 citations Suncheng Xiang, Mingye Xie et al. profile →

Peers

Ting Liu
Jianxin Zhang China
Sheraz Ahmed Germany
Gregory Koch United States
Guangliang Li China
Juan Zhang China
Xieping Gao China
Xinyu Liu China
Hanli Wang China
Yongjie Li China
Jiaxiang Wu China
Jianxin Zhang China
Ting Liu
Citations per year, relative to Ting Liu Ting Liu (= 1×) peers Jianxin Zhang

Countries citing papers authored by Ting Liu

Since Specialization
Citations

This map shows the geographic impact of Ting Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ting Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Liu more than expected).

Fields of papers citing papers by Ting Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ting Liu. The network helps show where Ting Liu may publish in the future.

Co-authorship network of co-authors of Ting Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Liu. A scholar is included among the top collaborators of Ting Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting Liu. Ting Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Chen, Xiaojun, et al.. (2024). A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models. Knowledge-Based Systems. 299. 111968–111968. 8 indexed citations
3.
Xu, Lin, et al.. (2024). Learning to Floorplan like Human Experts via Reinforcement Learning. 1–2. 1 indexed citations
4.
Gao, Jingsheng, Mingye Xie, Suncheng Xiang, et al.. (2024). GIST: Improving Parameter Efficient Fine-Tuning via Knowledge Interaction. 8835–8844. 2 indexed citations
5.
Xiang, Suncheng, et al.. (2023). Rethinking Person Re-Identification via Semantic-based Pretraining. ACM Transactions on Multimedia Computing Communications and Applications. 20(3). 1–17. 5 indexed citations
6.
Sun, Jianyong, Lin‐Juan Du, Xuerui Shi, et al.. (2023). An IL-6/STAT3/MR/FGF21 axis mediates heart-liver cross-talk after myocardial infarction. Science Advances. 9(14). eade4110–eade4110. 43 indexed citations
7.
Xiang, Suncheng, et al.. (2022). Rethinking Illumination for Person Re-Identification: A Unified View. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4730–4738. 14 indexed citations
8.
Du, Lin‐Juan, Jianyong Sun, Wuchang Zhang, et al.. (2022). NCOR1 maintains the homeostasis of vascular smooth muscle cells and protects against aortic aneurysm. Cell Death and Differentiation. 30(3). 618–631. 13 indexed citations
9.
Lu, Quan, et al.. (2021). A Multi-Label Classification Model with Two-Stage Transfer Learning. Shuju fenxi yu zhishi faxian. 5(7). 91–100. 2 indexed citations
10.
Sun, Yawei, Xiaocheng Feng, Bing Qin, et al.. (2020). TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. 1978–1988. 40 indexed citations
11.
Xiang, Suncheng, et al.. (2020). Unsupervised Domain Adaptation Through Synthesis For Person Re-Identification. 1–6. 27 indexed citations
12.
Liu, Ting, Liyi Zhang, Weiwei Bao, & Kang Zou. (2013). Differential evolution binary artificial bee colony algorithm based on global best. Computer Engineering and Applications Journal. 49(6). 43–47. 3 indexed citations
13.
Liu, Ting, et al.. (2012). Extending the MPC corpus to Chinese and Urdu - A Multiparty Multi-Lingual Chat Corpus for Modeling Social Phenomena in Language. Language Resources and Evaluation. 2868–2873. 3 indexed citations
14.
Guo, Yuhang, et al.. (2011). HIT Approaches to Entity Linking at TAC 2011. Theory and applications of categories. 3 indexed citations
15.
Che, Wanxiang & Ting Liu. (2010). Jointly Modeling WSD and SRL with Markov Logic. International Conference on Computational Linguistics. 161–169. 12 indexed citations
16.
Zhou, Zhi, Yonghong Tian, Yuanning Li, et al.. (2008). PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Based and Content-Based Image Retrieval.. CLEF (Working Notes). 1 indexed citations
17.
Webb, Nick, Ting Liu, Mark Hepple, & Yorick Wilks. (2008). Cross-Domain Dialogue Act Tagging. Language Resources and Evaluation. 5 indexed citations
18.
He, Ruifang, Yang Liu, Bing Qin, Ting Liu, & Sheng Li. (2008). HITIR's Update Summary at TAC 2008: Extractive Content Selection for Language Independence.. Theory and applications of categories. 2 indexed citations
19.
Liu, Ting, Andrew Moore, & Alexander Gray. (2006). New Algorithms for Efficient High-Dimensional Nonparametric Classification. Journal of Machine Learning Research. 7(41). 1135–1158. 49 indexed citations
20.
Liu, Ting. (2005). Chinese word sense disambiguation based on neural networks. 哈尔滨工业大学学报(英文版). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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