Yangning Li

413 total citations
33 papers, 159 citations indexed

About

Yangning Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Yangning Li has authored 33 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Management Science and Operations Research. Recurrent topics in Yangning Li's work include Topic Modeling (20 papers), Natural Language Processing Techniques (15 papers) and Text Readability and Simplification (5 papers). Yangning Li is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (15 papers) and Text Readability and Simplification (5 papers). Yangning Li collaborates with scholars based in China, United States and United Kingdom. Yangning Li's co-authors include Hai-Tao Zheng, Yinghui Li, Chao Yu, Shirong Ma, Yunbo Cao, Ying Shen, Qingyu Zhou, Zhongli Li, Ruiyang Liu and Tianyu Yu and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Yangning Li

28 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yangning Li China 8 121 22 21 20 14 33 159
Prajit Ramachandran United States 5 118 1.0× 7 0.3× 11 0.5× 50 2.5× 20 1.4× 6 154
Cash Costello United States 6 77 0.6× 8 0.4× 19 0.9× 73 3.6× 13 0.9× 10 144
Qiang Ning United States 8 155 1.3× 22 1.0× 20 1.0× 55 2.8× 2 0.1× 10 194
Jishnu Mukhoti United Kingdom 4 60 0.5× 11 0.5× 7 0.3× 33 1.6× 5 0.4× 7 96
Thibault Gisselbrecht France 3 154 1.3× 7 0.3× 18 0.9× 10 0.5× 27 1.9× 4 181
Yixing Lao United Kingdom 4 79 0.7× 3 0.1× 13 0.6× 29 1.4× 10 0.7× 6 108
Ximeng Sun United States 7 55 0.5× 4 0.2× 11 0.5× 84 4.2× 16 1.1× 11 142
Justin Chiu United States 7 86 0.7× 5 0.2× 13 0.6× 40 2.0× 26 1.9× 19 133
Qingqing Cai China 6 198 1.6× 7 0.3× 44 2.1× 46 2.3× 33 2.4× 11 233

Countries citing papers authored by Yangning Li

Since Specialization
Citations

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

Fields of papers citing papers by Yangning Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yangning Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yangning Li. A scholar is included among the top collaborators of Yangning 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 Yangning Li. Yangning Li 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.
Cao, Jiannong, et al.. (2026). OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction. IEEE Transactions on Knowledge and Data Engineering. 1–14.
2.
Li, Dongyuan, Yankai Chen, Renhe Jiang, et al.. (2025). Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions. 12756–12773. 1 indexed citations
3.
Zhang, Ding, Yangning Li, Lichen Bai, et al.. (2025). Loss-Aware Curriculum Learning for Chinese Grammatical Error Correction. 1–5.
4.
Li, Yangning, Hai-Tao Zheng, Yinghui Li, et al.. (2024). MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8697–8706. 1 indexed citations
5.
Li, Yinghui, et al.. (2024). Correct like humans: Progressive learning framework for Chinese text error correction. Expert Systems with Applications. 265. 126039–126039. 2 indexed citations
6.
Huang, Shulin, et al.. (2024). From Retrieval to Generation: Efficient and Effective Entity Set Expansion. 921–931. 1 indexed citations
7.
Yu, Tianyu, Chao Lou, Shen Huang, et al.. (2024). SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19458–19467. 2 indexed citations
8.
Li, Yangning, Shirong Ma, Xiaobin Wang, et al.. (2024). EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 18582–18590. 19 indexed citations
9.
Hu, Xuming, Xiaochuan Li, Junzhe Chen, et al.. (2024). Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions. 10650–10671.
10.
Li, Yangning, et al.. (2024). Retrieval-Augmented Meta Learning for Low-Resource Text Classification. 1–8. 1 indexed citations
11.
Li, Yinghui, et al.. (2023). MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction. 10161–10175. 2 indexed citations
12.
Li, Yinghui, Shulin Huang, Qingyu Zhou, et al.. (2023). Automatic Context Pattern Generation for Entity Set Expansion. IEEE Transactions on Knowledge and Data Engineering. 35(12). 12458–12469. 4 indexed citations
13.
Li, Yangning, Yinghui Li, Xi Chen, Hai-Tao Zheng, & Ying Shen. (2023). Active relation discovery: Towards general and label-aware open relation extraction. Knowledge-Based Systems. 282. 111094–111094. 8 indexed citations
14.
Xie, Xiangjin, et al.. (2023). Global Mixup: Eliminating Ambiguity with Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13798–13806. 1 indexed citations
15.
Zhou, Qingyu, et al.. (2023). A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check. 11514–11525. 1 indexed citations
16.
Li, Yinghui, Qingyu Zhou, Yangning Li, et al.. (2023). CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction. 6174–6189. 1 indexed citations
17.
Huang, Shulin, Shirong Ma, Yinghui Li, et al.. (2022). Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation. 235–247. 1 indexed citations
18.
Li, Yinghui, Qingyu Zhou, Yangning Li, et al.. (2022). The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking. Findings of the Association for Computational Linguistics: ACL 2022. 3202–3213. 23 indexed citations
19.
Li, Yinghui, Shirong Ma, Qingyu Zhou, et al.. (2022). Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking. 238–249. 13 indexed citations
20.
Ma, Shirong, Yinghui Li, Qingyu Zhou, et al.. (2022). Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction. 576–589. 7 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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