Zheng Yong

647 total citations · 1 hit paper
11 papers, 264 citations indexed

About

Zheng Yong is a scholar working on Artificial Intelligence, Social Psychology and Information Systems. According to data from OpenAlex, Zheng Yong has authored 11 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 1 paper in Social Psychology and 1 paper in Information Systems. Recurrent topics in Zheng Yong's work include Natural Language Processing Techniques (8 papers), Topic Modeling (5 papers) and Text Readability and Simplification (2 papers). Zheng Yong is often cited by papers focused on Natural Language Processing Techniques (8 papers), Topic Modeling (5 papers) and Text Readability and Simplification (2 papers). Zheng Yong collaborates with scholars based in United States, United Arab Emirates and Singapore. Zheng Yong's co-authors include Alham Fikri Aji, Niklas Muennighoff, Lintang Sutawika, Stella Biderman, Edward Raff, Colin Raffel, Thomas J. Wang, Khalid Almubarak, Teven Le Scao and Sheng Shen and has published in prestigious journals such as Language Resources and Evaluation and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Zheng Yong

8 papers receiving 250 citations

Hit Papers

Crosslingual Generalization through Multitask Finetuning 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zheng Yong United States 6 227 39 17 13 8 11 264
Lintang Sutawika United States 5 199 0.9× 36 0.9× 15 0.9× 11 0.8× 8 1.0× 9 237
Khalid Almubarak Saudi Arabia 4 183 0.8× 31 0.8× 13 0.8× 11 0.8× 8 1.0× 9 217
Kalpesh Krishna United States 8 155 0.7× 24 0.6× 22 1.3× 12 0.9× 7 0.9× 17 200
John Aslanides United Kingdom 4 142 0.6× 22 0.6× 18 1.1× 17 1.3× 5 0.6× 5 182
Nikita Nangia United States 5 268 1.2× 73 1.9× 23 1.4× 12 0.9× 6 0.8× 10 293
Jack W. Rae United States 6 138 0.6× 48 1.2× 10 0.6× 5 0.4× 4 0.5× 10 184
Amelia Glaese United States 4 100 0.4× 15 0.4× 18 1.1× 17 1.3× 5 0.6× 6 145
Francis Song United States 3 106 0.5× 16 0.4× 18 1.1× 17 1.3× 5 0.6× 4 148
Saffron Huang United Kingdom 2 103 0.5× 15 0.4× 18 1.1× 17 1.3× 6 0.8× 2 145
Guanghui Qin United States 6 223 1.0× 63 1.6× 28 1.6× 5 0.4× 4 0.5× 10 254

Countries citing papers authored by Zheng Yong

Since Specialization
Citations

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

Fields of papers citing papers by Zheng Yong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Yong

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

All Works

11 of 11 papers shown
1.
Yong, Zheng, Beyza Ermiş, Marzieh Fadaee, Stephen Bach, & Julia Kreutzer. (2025). The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating It. 15856–15871.
3.
Üstün, Ahmet, Zheng Yong, Wei-Yin Ko, et al.. (2024). Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model. 15894–15939. 17 indexed citations
4.
Yong, Zheng, Ruochen Zhang, Jessica Zosa Forde, et al.. (2023). Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages. 43–63. 10 indexed citations
5.
Yong, Zheng, Niklas Muennighoff, Alham Fikri Aji, et al.. (2023). BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 11682–11703. 9 indexed citations
6.
Muennighoff, Niklas, Thomas J. Wang, Lintang Sutawika, et al.. (2023). Crosslingual Generalization through Multitask Finetuning. 15991–16111. 190 indexed citations breakdown →
7.
Winata, Genta Indra, Alham Fikri Aji, Zheng Yong, & Thamar Solorio. (2023). The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges. 2936–2978. 15 indexed citations
8.
Scao, Teven Le, Thomas J. Wang, Daniel Hesslow, et al.. (2022). What Language Model to Train if You Have One Million GPU Hours?. 765–782. 18 indexed citations
9.
Yong, Zheng & Tiago Timponi Torrent. (2020). Semi-supervised Deep Embedded Clustering with Anomaly Detection for Semantic Frame Induction.. Language Resources and Evaluation. 3509–3519. 4 indexed citations
10.
Yong, Zheng. (2011). Research on Carbon Finance in China——Inspirations of EU Carbon Finance.
11.
Yan, Zhang, et al.. (2009). The Comparison on Life Values of College Students Before and After 5·12 Earthquake. 17(3). 505–510. 1 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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