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.
Attention-based LSTM for Aspect-level Sentiment Classification
20161.5k citationsMinlie Huang, Xiaoyan Zhu et al.profile →
A novel ensemble method for classifying imbalanced data
This map shows the geographic impact of Xiaoyan Zhu'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 Xiaoyan Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Zhu more than expected).
This network shows the impact of papers produced by Xiaoyan Zhu. 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 Xiaoyan Zhu. The network helps show where Xiaoyan Zhu may publish in the future.
Co-authorship network of co-authors of Xiaoyan Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Zhu.
A scholar is included among the top collaborators of Xiaoyan Zhu 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 Xiaoyan Zhu. Xiaoyan Zhu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhu, Xiaoyan. (2013). Parallel CRC algorithm design and implementation of new bus. Jisuanji gongcheng yu sheji.1 indexed citations
12.
Li, Fangtao, Sinno Jialin Pan, Ou Jin, Qiang Yang, & Xiaoyan Zhu. (2012). Cross-Domain Co-Extraction of Sentiment and Topic Lexicons. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1. 410–419.86 indexed citations
13.
Li, Fangtao, Minlie Huang, Yi Yang, & Xiaoyan Zhu. (2011). Learning to identify review spam. International Joint Conference on Artificial Intelligence. 2488–2493.222 indexed citations
Hao, Yu, et al.. (2010). Function-Based Question Classification for General QA. Empirical Methods in Natural Language Processing. 1119–1128.17 indexed citations
16.
Zhang, Jie, et al.. (2010). A Review Selection Approach for Accurate Feature Rating Estimation. International Conference on Computational Linguistics. 766–774.49 indexed citations
17.
Zhu, Xiaoyan. (2004). Research and Implementation of Transformation System Between Mandarin Braille and Chinese. Jisuanji gongcheng.4 indexed citations
18.
Zhu, Xiaoyan. (2000). Braille translation based on multi knowledge. Journal of Tsinghua University(Science and Technology).2 indexed citations
19.
Zhu, Xiaoyan, et al.. (1995). TEST WHETHER K GROUP OF INTRACLASS DATA BELONG TO SOME LINEAR MODEL. Acta Mathematicae Applicatae Sinica English Series.
20.
Zhu, Xiaoyan & Lu Chen. (1986). ADMISSIBILITY OF INHOMOGENEOUS LINEAR ESTIMATORS OF REGRESSION COEFFICIENTS.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.