Hang Su

28 total papers · 1.4k total citations
11 papers, 926 citations indexed

About

Hang Su is a scholar working on Artificial Intelligence, Communication and Molecular Biology. According to data from OpenAlex, Hang Su has authored 11 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 1 paper in Communication and 1 paper in Molecular Biology. Recurrent topics in Hang Su's work include Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (3 papers) and Text and Document Classification Technologies (2 papers). Hang Su is often cited by papers focused on Topic Modeling (5 papers), Sentiment Analysis and Opinion Mining (3 papers) and Text and Document Classification Technologies (2 papers). Hang Su collaborates with scholars based in China, United Kingdom and Singapore. Hang Su's co-authors include ChengXiang Zhai, Qiaozhu Mei, Xu Ling, Bin Liang, Lin Gui, Ruifeng Xu, Erik Cambria, Wei Li, Min Yang and Huangcan Li and has published in prestigious journals such as Frontiers in Psychology, Sustainability and Knowledge-Based Systems.

In The Last Decade

Hang Su

7 papers receiving 863 citations

Hit Papers

Topic sentiment mixture 2007 2026 2013 2019 2007 2021 100 200 300 400 500
What are hit papers?

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Topic sentiment mixture
    2007 533 citations Qiaozhu Mei, Xu Ling et al. profile →
  2. Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
    2021 361 citations Bin Liang, Hang Su et al. Knowledge-Based Systems profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hang Su 833 181 80 69 37 11 926
Guixian Xu 554 0.7× 182 1.0× 90 1.1× 41 0.6× 52 1.4× 31 804
Ilia Vovsha 810 1.0× 286 1.6× 150 1.9× 122 1.8× 60 1.6× 6 976
Yohan Jo 739 0.9× 227 1.3× 142 1.8× 80 1.2× 26 0.7× 29 999
Jeonghee Yi 770 0.9× 332 1.8× 126 1.6× 66 1.0× 59 1.6× 12 1.0k
Boyi Xie 790 0.9× 300 1.7× 152 1.9× 126 1.8× 90 2.4× 12 1.0k
Kazi Saidul Hasan 816 1.0× 179 1.0× 55 0.7× 38 0.6× 23 0.6× 12 853
Hassan Saif 668 0.8× 219 1.2× 160 2.0× 85 1.2× 40 1.1× 13 814
Marco Lui 693 0.8× 115 0.6× 76 0.9× 45 0.7× 12 0.3× 17 819
Kim Schouten 744 0.9× 179 1.0× 127 1.6× 32 0.5× 58 1.6× 22 881
David Ahn 676 0.8× 193 1.1× 39 0.5× 112 1.6× 57 1.5× 15 813

Countries citing papers authored by Hang Su

Since Specialization
Citations

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

Fields of papers citing papers by Hang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Su. A scholar is included among the top collaborators of Hang Su 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 Hang Su. Hang Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026