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.
This map shows the geographic impact of Xiaohua 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 Xiaohua Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua Liu more than expected).
This network shows the impact of papers produced by Xiaohua 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 Xiaohua Liu. The network helps show where Xiaohua Liu may publish in the future.
Co-authorship network of co-authors of Xiaohua Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohua Liu.
A scholar is included among the top collaborators of Xiaohua 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 Xiaohua Liu. Xiaohua Liu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liu, Xiaohua, et al.. (2013). Entity Linking for Tweets. Meeting of the Association for Computational Linguistics. 1. 1304–1311.52 indexed citations
8.
Gao, Dehong, Furu Wei, Wenjie Li, Xiaohua Liu, & Ming Zhou. (2013). Cotraining based bilingual sentiment lexicon learning. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 26–28.10 indexed citations
9.
Liu, Xiaohua, Yitong Li, Furu Wei, & Ming Zhou. (2012). Graph-Based Multi-Tweet Summarization using Social Signals. International Conference on Computational Linguistics. 1699–1714.25 indexed citations
10.
Liu, Xiaohua, Furu Wei, & Ming Zhou. (2012). QuickView: NLP-based Tweet Search. Meeting of the Association for Computational Linguistics. 13–18.3 indexed citations
11.
Li, Zhen, et al.. (2012). Study on Thermal Environment Evaluation in Data Centers. SHILAP Revista de lepidopterología. 33(5). 5–9.10 indexed citations
Liu, Xiaohua, Shaodian Zhang, Furu Wei, & Ming Zhou. (2011). Recognizing Named Entities in Tweets. Meeting of the Association for Computational Linguistics. 359–367.257 indexed citations
Scott, Matthew R., Xiaohua Liu, & Ming Zhou. (2011). Engkoo: Mining the Web for Language Learning. Meeting of the Association for Computational Linguistics. 44–49.1 indexed citations
16.
Liu, Xiaohua. (2008). Digital image stabilization algorithm based on feature points tracking. Optical Technique.1 indexed citations
17.
Cong, Gao, et al.. (2007). Mining sequential patterns and tree patterns to detect erroneous sentences. National Conference on Artificial Intelligence. 925–930.16 indexed citations
18.
Liu, Xiaohua, Gao Cong, Ming Zhou, et al.. (2007). Detecting Erroneous Sentences using Automatically Mined Sequential Patterns. Meeting of the Association for Computational Linguistics. 81–88.43 indexed citations
19.
Liu, Jianzhou, Tingting He, & Xiaohua Liu. (2003). Extracting Chinese Multi-Word Units from Large-Scale Balanced Corpus. Pacific Asia Conference on Language, Information, and Computation. 282–289.5 indexed citations
20.
Zhang, Xinzheng & Xiaohua Liu. (1998). Stabilization Decomposition of Neutral Linear Time-Varying Interconnected Control Systems with the Multi-Group Multi-Delays. Control theory & applications.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.