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.
Cross-domain sentiment classification via spectral feature alignment
2010503 citationsXiaochuan Ni, Jian-Tao Sun et al.Rare & Special e-Zone (The Hong Kong University of Science and Technology)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Jian-Tao Sun'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 Jian-Tao Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian-Tao Sun more than expected).
This network shows the impact of papers produced by Jian-Tao Sun. 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 Jian-Tao Sun. The network helps show where Jian-Tao Sun may publish in the future.
Co-authorship network of co-authors of Jian-Tao Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Jian-Tao Sun.
A scholar is included among the top collaborators of Jian-Tao Sun 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 Jian-Tao Sun. Jian-Tao Sun is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cao, Bin, Xiaochuan Ni, Jian-Tao Sun, Gang Wang, & Qiang Yang. (2011). Distance metric learning under covariate shift. Rare & Special e-Zone (The Hong Kong University of Science and Technology).13 indexed citations
Cao, Huanhuan, Derek Hao Hu, Dou Shen, et al.. (2009). Context-aware query classification. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3–10.106 indexed citations
Cao, Bin, Dou Shen, Jian-Tao Sun, et al.. (2007). Detect and track latent factors with online nonnegative matrix factorization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2689–2694.59 indexed citations
12.
Shen, Dou, Jian-Tao Sun, Hua Li, Qiang Yang, & Zheng Chen. (2007). Document summarization using conditional random fields. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2862–2867.228 indexed citations
13.
Cao, Bin, Dou Shen, Jian-Tao Sun, Qiang Yang, & Zheng Chen. (2007). Feature selection in a kernel space. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 121–128.64 indexed citations
14.
Shen, Dou, Qiang Yang, Jian-Tao Sun, & Zheng Chen. (2006). Thread detection in dynamic text message streams. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 35–42.85 indexed citations
Shen, Dou, Jian-Tao Sun, Qiang Yang, & Zheng Chen. (2006). Building bridges for web query classification. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 131–138.147 indexed citations
18.
Shen, Dou, Jian-Tao Sun, Qiang Yang, & Chen Zheng. (2006). Latent Friend Mining from Blog Data. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 552–561.27 indexed citations
19.
Guo, Chonghui & Jian-Tao Sun. (2005). Maximum Entropy Approach for Generalized Support Vector Machine Optimization Problems. Systems Engineering - Theory & Practice.1 indexed citations
20.
Wang, Xuanhui, et al.. (2005). DirichletRank: Ranking Web Pages Against Link Spams. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign).
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.