Hang Su

1.4k total citations · 2 hit papers
12 papers, 937 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 12 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 1 paper in Communication and 1 paper in Molecular Biology. Recurrent topics in Hang Su's work include Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (3 papers) and Natural Language Processing Techniques (3 papers). Hang Su is often cited by papers focused on Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (3 papers) and Natural Language Processing Techniques (3 papers). Hang Su collaborates with scholars based in China, United Kingdom and Australia. 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 Hwanjun Song and has published in prestigious journals such as Frontiers in Psychology, Sustainability and Knowledge-Based Systems.

In The Last Decade

Hang Su

9 papers receiving 872 citations

Hit Papers

align trajectories

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 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.

Topic sentiment mixture

2007 533 citations Qiaozhu Mei, Xu Ling et al. profile →
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks

2021 369 citations Bin Liang, Hang Su et al. Knowledge-Based Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hang Su China	5	842	183	79	69	37	12	937
Kazi Saidul Hasan United States	9	818 1.0×	180 1.0×	55 0.7×	38 0.6×	23 0.6×	12	857
Natalia Loukachevitch Russia	13	1.2k 1.4×	147 0.8×	75 0.9×	26 0.4×	43 1.2×	88	1.3k
Marco Lui Australia	11	692 0.8×	115 0.6×	76 1.0×	45 0.7×	12 0.3×	17	819
Hiroya Takamura Japan	17	1.1k 1.3×	175 1.0×	58 0.7×	47 0.7×	47 1.3×	131	1.2k
David Ahn United States	11	676 0.8×	193 1.1×	39 0.5×	110 1.6×	58 1.6×	15	814
Roy Ka-Wei Lee Singapore	15	537 0.6×	117 0.6×	108 1.4×	64 0.9×	22 0.6×	63	721
Maria Pontiki Greece	4	2.7k 3.2×	297 1.6×	127 1.6×	36 0.5×	48 1.3×	5	2.7k
Delip Rao United States	8	780 0.9×	241 1.3×	127 1.6×	137 2.0×	111 3.0×	18	976
Wenxuan Zhang Hong Kong	14	747 0.9×	138 0.8×	49 0.6×	14 0.2×	33 0.9×	52	867
Songbo Tan China	15	857 1.0×	327 1.8×	93 1.2×	43 0.6×	38 1.0×	48	969

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

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Zhu, Yajing, et al.. (2025). Social media usage and cyberbullying: the moderating role of tie strength. Frontiers in Psychology. 16. 1490022–1490022. 1 indexed citations

2.

Su, Hang, et al.. (2025). Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages. 14417–14450.

3.

Cai, Jason, et al.. (2024). UniSumEval: Towards Unified, Fine-grained, Multi-dimensional Summarization Evaluation for LLMs. 3941–3960.

4.

Song, Hwanjun, et al.. (2024). MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets. 5150–5167.

5.

Tang, Liyan, Song Feng, Hwanjun Song, et al.. (2024). TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization. 4455–4480. 8 indexed citations

6.

Zhang, Xiangjun, et al.. (2024). Extraction of Maize Distribution Information Based on Critical Fertility Periods and Active–Passive Remote Sensing. Sustainability. 16(19). 8373–8373. 1 indexed citations

7.

Su, Hang, et al.. (2023). Deep knowledge tracing with learning curves. Frontiers in Psychology. 14. 1150329–1150329. 1 indexed citations

8.

Su, Hang, Huangcan Li, & Dun Li. (2023). Knowledge reasoning with multiple relational paths. Connection Science. 35(1). 2 indexed citations

9.

Su, Hang & Wei Li. (2022). OTFS for Underwater Acoustic Communications: Practical System Design and Channel Estimation. OCEANS 2022, Hampton Roads. 1–7. 7 indexed citations

10.

Liang, Bin, Hang Su, Lin Gui, Erik Cambria, & Ruifeng Xu. (2021). Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks. Knowledge-Based Systems. 235. 107643–107643. 369 indexed citations breakdown →

11.

Liang, Bin, et al.. (2021). Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 208–218. 15 indexed citations

12.

Mei, Qiaozhu, et al.. (2007). Topic sentiment mixture. 171–180. 533 indexed citations breakdown →

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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