Junyi Li

2.0k total citations · 1 hit paper
15 papers, 277 citations indexed

About

Junyi Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Junyi Li has authored 15 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Junyi Li's work include Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). Junyi Li is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (5 papers). Junyi Li collaborates with scholars based in China, Canada and Mexico. Junyi Li's co-authors include Wayne Xin Zhao, Ji-Rong Wen, Tianyi Tang, Yifan Du, Jian‐Yun Nie, Zikang Liu, Zhicheng Wei, Nicholas Jing Yuan, Gaole He and Jie Chen and has published in prestigious journals such as ACM Computing Surveys, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.

In The Last Decade

Junyi Li

15 papers receiving 268 citations

Hit Papers

Pre-Trained Language Models for Text Generation: A Survey 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyi Li China 7 181 93 32 13 10 15 277
Baiwu Zhang Canada 2 216 1.2× 68 0.7× 34 1.1× 16 1.2× 32 3.2× 2 290
Weiqiang Jin China 9 221 1.2× 50 0.5× 44 1.4× 6 0.5× 10 1.0× 25 336
Ajinkya Kale United States 7 140 0.8× 165 1.8× 50 1.6× 10 0.8× 8 0.8× 15 274
Chaoqi Yang United States 10 153 0.8× 32 0.3× 23 0.7× 12 0.9× 15 1.5× 24 242
Meng Zhao China 8 318 1.8× 61 0.7× 45 1.4× 23 1.8× 8 0.8× 34 380
Armen Aghajanyan United States 6 290 1.6× 253 2.7× 24 0.8× 15 1.2× 8 0.8× 7 427
Shuhan Qi China 10 153 0.8× 145 1.6× 29 0.9× 10 0.8× 13 1.3× 49 295
Chih‐Kuan Yeh United States 7 348 1.9× 158 1.7× 53 1.7× 33 2.5× 14 1.4× 9 436
Hangbo Bao China 5 279 1.5× 231 2.5× 23 0.7× 16 1.2× 10 1.0× 8 432

Countries citing papers authored by Junyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyi Li

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

All Works

15 of 15 papers shown
1.
Li, Junyi, et al.. (2024). Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector. 14600–14615. 2 indexed citations
2.
Li, Junyi, Jie Chen, Ruiyang Ren, et al.. (2024). The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models. 10879–10899. 16 indexed citations
3.
Li, Junyi, Tianyi Tang, Wayne Xin Zhao, Jian‐Yun Nie, & Ji-Rong Wen. (2024). Pre-Trained Language Models for Text Generation: A Survey. ACM Computing Surveys. 56(9). 1–39. 73 indexed citations breakdown →
4.
Tang, Tianyi, Junyi Li, Wayne Xin Zhao, & Ji-Rong Wen. (2023). MVP: Multi-task Supervised Pre-training for Natural Language Generation. 8758–8794. 10 indexed citations
5.
Li, Junyi, Tianyi Tang, Wayne Xin Zhao, et al.. (2023). The Web Can Be Your Oyster for Improving Language Models. 728–746. 4 indexed citations
6.
Xu, Wei, et al.. (2023). Multilingual Simplification of Medical Texts. 16662–16692. 6 indexed citations
7.
Tang, Tianyi, Yushuo Chen, Yifan Du, et al.. (2023). Learning to Imagine: Visually-Augmented Natural Language Generation. 9468–9481. 5 indexed citations
8.
Du, Yifan, Junyi Li, Tianyi Tang, Wayne Xin Zhao, & Ji-Rong Wen. (2023). Zero-shot Visual Question Answering with Language Model Feedback. 9268–9281. 4 indexed citations
9.
Li, Junyi, Tianyi Tang, Wayne Xin Zhao, Jian‐Yun Nie, & Ji-Rong Wen. (2022). ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation. 1044–1058. 6 indexed citations
10.
Tang, Tianyi, Junyi Li, Zhipeng Chen, et al.. (2022). TextBox 2.0: A Text Generation Library with Pre-trained Language Models. 435–444. 4 indexed citations
11.
Li, Junyi, Tianyi Tang, Jian‐Yun Nie, Ji-Rong Wen, & Wayne Xin Zhao. (2022). Learning to Transfer Prompts for Text Generation. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 3506–3518. 15 indexed citations
12.
Du, Yifan, Zikang Liu, Junyi Li, & Wayne Xin Zhao. (2022). A Survey of Vision-Language Pre-Trained Models. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 5436–5443. 89 indexed citations
13.
Li, Junyi, Tianyi Tang, Wayne Xin Zhao, et al.. (2021). Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models. 1558–1568. 26 indexed citations
15.
Zhang, Jiyang, et al.. (2020). Leveraging Class Hierarchy for Code Comprehension. 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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