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.
Ensemble of feature sets and classification algorithms for sentiment classification
2010418 citationsRui Xia, Chengqing Zong et al.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 Shoushan Li'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 Shoushan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoushan Li more than expected).
This network shows the impact of papers produced by Shoushan Li. 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 Shoushan Li. The network helps show where Shoushan Li may publish in the future.
Co-authorship network of co-authors of Shoushan Li
This figure shows the co-authorship network connecting the top 25 collaborators of Shoushan Li.
A scholar is included among the top collaborators of Shoushan Li 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 Shoushan Li. Shoushan Li is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhang, Dong, et al.. (2019). Multi-modal Emotion Recognition Approach Based on Multi-task Learning. 46(11). 284–290.1 indexed citations
6.
Li, Shoushan, Changlong Sun, Luo Si, et al.. (2018). One vs. Many QA Matching with both Word-level and Sentence-level Attention Network. International Conference on Computational Linguistics. 2540–2550.1 indexed citations
7.
Wang, Zhongqing, Shoushan Li, & Guodong Zhou. (2017). Personal Group Recommendation via Textual and Social Information. 28(9). 2468–2480.1 indexed citations
8.
Li, Shoushan, et al.. (2016). Semi-supervised Gender Classification with Joint Textual and Social Modeling.. International Conference on Computational Linguistics. 2092–2100.2 indexed citations
9.
Li, Shoushan, Jian Xu, Dong Zhang, & Guodong Zhou. (2016). Two-View Label Propagation to Semi-supervised Reader Emotion Classification. International Conference on Computational Linguistics. 2647–2655.6 indexed citations
10.
Xia, Rui, et al.. (2013). Dual training and dual prediction for polarity classification. Queensland's institutional digital repository (The University of Queensland).15 indexed citations
Li, Shoushan, et al.. (2013). Active learning for cross-domain sentiment classification. International Joint Conference on Artificial Intelligence. 2127–2133.45 indexed citations
13.
Li, Shoushan. (2013). Semi-Supervised Sentiment Classification with a Ensemble Strategy. Zhongwen xinxi xuebao.1 indexed citations
14.
Liu, Huanhuan, Shoushan Li, Guodong Zhou, Chu‐Ren Huang, & Peifeng Li. (2013). Joint modeling of news reader's and comment writer's emotions. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 511–515.17 indexed citations
15.
Li, Shoushan, Guodong Zhou, & Chu‐Ren Huang. (2012). Active Learning for Chinese Word Segmentation. International Conference on Computational Linguistics. 683–692.6 indexed citations
16.
Lee, Sophia Yat Mei, Ying‐Yeh Chen, Shoushan Li, & Chu‐Ren Huang. (2010). Emotion cause events : corpus construction and analysis. Language Resources and Evaluation. 1121–1128.29 indexed citations
17.
Li, Shoushan, Chu‐Ren Huang, Guodong Zhou, & Sophia Yat Mei Lee. (2010). Employing Personal/Impersonal Views in Supervised and Semi-Supervised Sentiment Classification. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 414–423.59 indexed citations
18.
Chen, Ying‐Yeh, Sophia Yat Mei Lee, Shoushan Li, & Chu‐Ren Huang. (2010). Emotion Cause Detection with Linguistic Constructions. International Conference on Computational Linguistics. 253(2). 179–187.101 indexed citations
19.
Li, Shoushan & Chu‐Ren Huang. (2009). Word Boundary Decision with CRF for Chinese Word Segmentation. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2. 726–732.5 indexed citations
20.
Li, Shoushan & Chu‐Ren Huang. (2009). Sentiment Classification Considering Negation and Contrast Transition. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1. 307–316.13 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.