Suge Wang

1.5k total citations
63 papers, 1.0k citations indexed

About

Suge Wang is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Suge Wang has authored 63 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 16 papers in Information Systems and 8 papers in Computational Theory and Mathematics. Recurrent topics in Suge Wang's work include Sentiment Analysis and Opinion Mining (30 papers), Topic Modeling (28 papers) and Text and Document Classification Technologies (23 papers). Suge Wang is often cited by papers focused on Sentiment Analysis and Opinion Mining (30 papers), Topic Modeling (28 papers) and Text and Document Classification Technologies (23 papers). Suge Wang collaborates with scholars based in China, Singapore and Canada. Suge Wang's co-authors include Deyu Li, Jian Liao, Y. Wei, Xiaolei Song, Hongxia Li, Yanhui Zhai, Qiang Zhao, Zhenfei Yang, Jiyao Wei and Xiaoli Li and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Suge Wang

56 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Suge Wang China 19 832 244 174 120 88 63 1.0k
Yun Sing Koh New Zealand 17 636 0.8× 395 1.6× 145 0.8× 78 0.7× 88 1.0× 81 986
Marc Denecker Belgium 18 1.2k 1.5× 143 0.6× 197 1.1× 78 0.7× 61 0.7× 125 1.5k
Zbigniew W. Raś United States 17 528 0.6× 365 1.5× 313 1.8× 114 0.9× 112 1.3× 113 951
James G. Shanahan United States 10 599 0.7× 299 1.2× 45 0.3× 80 0.7× 67 0.8× 34 901
Angelo Gaeta Italy 14 351 0.4× 177 0.7× 286 1.6× 100 0.8× 170 1.9× 52 740
Shi Feng China 19 844 1.0× 270 1.1× 36 0.2× 194 1.6× 39 0.4× 81 1.1k
C. J. Carmona Spain 16 654 0.8× 385 1.6× 111 0.6× 57 0.5× 60 0.7× 46 914
Francesco Ricca Italy 17 775 0.9× 101 0.4× 85 0.5× 181 1.5× 41 0.5× 78 1.0k
Stephen H. Bach United States 12 1.1k 1.4× 203 0.8× 43 0.2× 162 1.4× 138 1.6× 32 1.4k

Countries citing papers authored by Suge Wang

Since Specialization
Citations

This map shows the geographic impact of Suge Wang'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 Suge Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suge Wang more than expected).

Fields of papers citing papers by Suge Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suge Wang. 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 Suge Wang. The network helps show where Suge Wang may publish in the future.

Co-authorship network of co-authors of Suge Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Suge Wang. A scholar is included among the top collaborators of Suge Wang 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 Suge Wang. Suge Wang 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.
Li, Deyu, et al.. (2024). Conditional generation model with dual-perspective feature fusion representation for multi-label classification. Knowledge-Based Systems. 309. 112832–112832.
2.
Lee, Lung‐Hao, Liang-Chih Yu, Suge Wang, & Jian Liao. (2024). Overview of the SIGHAN 2024 shared task for Chinese dimensional aspect-based sentiment analysis. 165–174. 4 indexed citations
3.
Zhao, Jun, et al.. (2024). A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 18879–18887.
4.
Wang, Dian, et al.. (2024). CKEMI: Concept knowledge enhanced metaphor identification framework. Information Processing & Management. 62(1). 103946–103946.
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Liao, Jian, et al.. (2023). A dynamic adaptive multi-view fusion graph convolutional network recommendation model with dilated mask convolution mechanism. Information Sciences. 658. 120028–120028. 2 indexed citations
9.
Liao, Jian, et al.. (2022). Dynamic commonsense knowledge fused method for Chinese implicit sentiment analysis. Information Processing & Management. 59(3). 102934–102934. 23 indexed citations
10.
Wang, Suge, et al.. (2022). Attention-based explainable friend link prediction with heterogeneous context information. Information Sciences. 597. 211–229. 10 indexed citations
11.
Li, Xiaoli, et al.. (2020). Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder. 3762–3767. 2 indexed citations
12.
Wang, Suge, et al.. (2020). Particle Manipulation by a Novel Lamb Wave Resonator Array with Grating Reflectors. 1–4. 2 indexed citations
13.
Wang, Suge, et al.. (2018). Personalized recommendation based on hierarchical interest overlapping community. Information Sciences. 479. 55–75. 27 indexed citations
14.
Li, Yang, Jie Wang, Suge Wang, Jiye Liang, & Juanzi Li. (2018). Local dense mixed region cutting + global rebalancing: a method for imbalanced text sentiment classification. International Journal of Machine Learning and Cybernetics. 10(7). 1805–1820. 20 indexed citations
15.
Wang, Suge, et al.. (2017). Sentiment mining of commodity reputation data based on joint model. Journal of Tsinghua University(Science and Technology). 57(9). 926–931. 1 indexed citations
16.
Liao, Jian, Suge Wang, Deyu Li, & Xiaoli Li. (2017). FREERL: Fusion relation embedded representation learning framework for aspect extraction. Knowledge-Based Systems. 135. 9–17. 17 indexed citations
17.
Wang, Suge, et al.. (2016). Cross-lingual sentiment classification: Similarity discovery plus training data adjustment. Knowledge-Based Systems. 107. 129–141. 14 indexed citations
18.
Wang, Suge, et al.. (2016). Determining Fuzzy Membership for Sentiment Classification: A Three-Layer Sentiment Propagation Model. PLoS ONE. 11(11). e0165560–e0165560. 12 indexed citations
19.
Wang, Suge, et al.. (2006). Automatic Acquisition of Chinese Collocation. Zhongwen xinxi xuebao. 2 indexed citations
20.
Zhang, Wu, et al.. (2006). Grid Enabled Problem Solving Environments for Text Categorization. 106–106. 3 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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