Xingyi Song

883 total citations
32 papers, 448 citations indexed

About

Xingyi Song is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Xingyi Song has authored 32 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Sociology and Political Science and 5 papers in Information Systems. Recurrent topics in Xingyi Song's work include Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Misinformation and Its Impacts (8 papers). Xingyi Song is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Misinformation and Its Impacts (8 papers). Xingyi Song collaborates with scholars based in United Kingdom, China and Switzerland. Xingyi Song's co-authors include Ye Jiang, Diana Maynard, Johann Petrak, Kalina Bontcheva, Matthew Gilbert, Linwei He, Angus Roberts, Pengfei Liu, Xiao Han and Yuanxi Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and PLoS ONE.

In The Last Decade

Xingyi Song

28 papers receiving 429 citations

Peers

Xingyi Song
Young Park South Korea
Arindam Paul United States
Jungmin Kang South Korea
Huan Ma China
Gang Yan China
Xiaoqiang Wu China
Yong Tian China
Gaurav Nanda United States
Zihao Yang China
Joachim Köhler Germany
Young Park South Korea
Xingyi Song
Citations per year, relative to Xingyi Song Xingyi Song (= 1×) peers Young Park

Countries citing papers authored by Xingyi Song

Since Specialization
Citations

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

Fields of papers citing papers by Xingyi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingyi Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xingyi Song. A scholar is included among the top collaborators of Xingyi Song 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 Xingyi Song. Xingyi Song 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.
Jiang, Ye, et al.. (2025). Cross-modal augmentation for few-shot multimodal fake news detection. Engineering Applications of Artificial Intelligence. 142. 109931–109931. 5 indexed citations
2.
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Hu, Xia, et al.. (2024). Advanced oxidation processes mediated by Schwertmannite for the degradation of organic emerging contaminants: Mechanism and synergistic approach. Journal of Water Process Engineering. 68. 106527–106527. 2 indexed citations
4.
Razuvayevskaya, Olesya, Benjamin M. Wu, João Leite, et al.. (2024). Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification. PLoS ONE. 19(5). e0301738–e0301738. 8 indexed citations
5.
Wang, Jian, Xingyi Song, Chaochao Wang, et al.. (2024). A review for design, mechanism, fabrication, and application of magnetically responsive microstructured functional surface. International Journal of Extreme Manufacturing. 7(1). 12004–12004. 2 indexed citations
6.
Jiang, Ye, et al.. (2023). Similarity-Aware Multimodal Prompt Learning for fake news detection. Information Sciences. 647. 119446–119446. 21 indexed citations
7.
Wu, Benjamin M., Olesya Razuvayevskaya, João Leite, et al.. (2023). SheffieldVeraAI at SemEval-2023 Task 3: Mono and Multilingual Approaches for News Genre, Topic and Persuasion Technique Classification. 1995–2008. 2 indexed citations
8.
Wilby, David, et al.. (2023). GATE Teamware 2: An open-source tool for collaborative document classification annotation. 145–151. 1 indexed citations
9.
Scarton, Carolina, et al.. (2023). VaxxHesitancy: A Dataset for Studying Hesitancy towards COVID-19 Vaccination on Twitter. Proceedings of the International AAAI Conference on Web and Social Media. 17. 1052–1062. 4 indexed citations
10.
11.
Yi, Shengzhu, Liu Wang, Zhipeng Chen, et al.. (2022). High-throughput fabrication of soft magneto-origami machines. Nature Communications. 13(1). 4177–4177. 80 indexed citations
12.
Zhang, Ziqi & Xingyi Song. (2022). An Exploratory Study on Utilising the Web of Linked Data for Product Data Mining. SN Computer Science. 4(1). 1 indexed citations
13.
Gong, Yutong, Hongchen Li, Jiazhen Wu, et al.. (2022). Unique Catalytic Mechanism for Ru-Loaded Ternary Intermetallic Electrides for Ammonia Synthesis. Journal of the American Chemical Society. 144(19). 8683–8692. 71 indexed citations
14.
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Song, Xingyi, Trevor Cohn, & Lucia Specia. (2021). BLEU deconstructed: Designing a Better MT Evaluation Metric. Figshare. 4(2). 29–44. 7 indexed citations
16.
Song, Xingyi, et al.. (2021). Classification aware neural topic model for COVID-19 disinformation categorisation. PLoS ONE. 16(2). e0247086–e0247086. 37 indexed citations
17.
Gao, Jie, et al.. (2020). RP-DNN : a Tweet level propagation context based deep neural networks for early rumor detection in social media. Language Resources and Evaluation. 6094–6105. 4 indexed citations
18.
Jiang, Ye, Johann Petrak, Xingyi Song, Kalina Bontcheva, & Diana Maynard. (2019). Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network. 840–844. 28 indexed citations
19.
Jackson, Richard, Clive Stringer, Genevieve Gorrell, et al.. (2018). CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. BMC Medical Informatics and Decision Making. 18(1). 47–47. 73 indexed citations
20.
Song, Xingyi & Trevor Cohn. (2011). Regression and Ranking based Optimisation for Sentence Level MT Evaluation. Workshop on Statistical Machine Translation. 123–129. 8 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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