Irene Li

2.5k total citations · 1 hit paper
31 papers, 968 citations indexed

About

Irene Li is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Irene Li has authored 31 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Irene Li's work include Topic Modeling (21 papers), Natural Language Processing Techniques (12 papers) and Advanced Graph Neural Networks (6 papers). Irene Li is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (12 papers) and Advanced Graph Neural Networks (6 papers). Irene Li collaborates with scholars based in United States, Japan and Singapore. Irene Li's co-authors include Dragomir Radev, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zilin Zhang, Tao Yu, Zifan Li, James Ma and Alexander R. Fabbri and has published in prestigious journals such as Macromolecules, Journal of Medical Internet Research and Computer Science Review.

In The Last Decade

Irene Li

27 papers receiving 906 citations

Hit Papers

Spider: A Large-Scale Human-Labeled Dataset for Complex a... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irene Li United States 10 677 164 109 94 69 31 968
S. Sangeetha India 12 221 0.3× 131 0.8× 28 0.3× 32 0.3× 57 0.8× 66 476
Qiao Jin United States 16 647 1.0× 42 0.3× 13 0.1× 78 0.8× 273 4.0× 51 1.2k
Yuexiang Xie China 12 337 0.5× 144 0.9× 20 0.2× 55 0.6× 7 0.1× 25 441
Samuel C. Hoffman United States 10 369 0.5× 62 0.4× 4 0.0× 61 0.6× 57 0.8× 15 733
Jiaao Chen United States 11 458 0.7× 47 0.3× 9 0.1× 80 0.9× 16 0.2× 19 594
Felipe Viegas Brazil 11 321 0.5× 111 0.7× 6 0.1× 29 0.3× 60 0.9× 27 543
Yingbo Liu China 11 401 0.6× 255 1.6× 20 0.2× 30 0.3× 80 1.2× 31 1.1k
Mengting Wan United States 13 296 0.4× 239 1.5× 9 0.1× 66 0.7× 13 0.2× 34 531
Bridget T. McInnes United States 18 781 1.2× 59 0.4× 7 0.1× 29 0.3× 707 10.2× 68 1.1k
Vibhakar Mansotra India 13 237 0.4× 67 0.4× 3 0.0× 62 0.7× 10 0.1× 58 592

Countries citing papers authored by Irene Li

Since Specialization
Citations

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

Fields of papers citing papers by Irene Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irene Li

This figure shows the co-authorship network connecting the top 25 collaborators of Irene Li. A scholar is included among the top collaborators of Irene 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 Irene Li. Irene 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.
2.
Zhao, Xinjie, Yukui Fu, Yusuke Iwasawa, et al.. (2025). AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots. 6757–6761.
3.
Chen, Yingjian, Haoran Liu, Jingyi Xie, et al.. (2025). GraphCheck: Breaking Long-Term Text Barriers with Extracted Knowledge Graph-Powered Fact-Checking. PubMed. 2025. 14976–14995.
4.
Jiang, Hang, Robert Mahari, Daniel Kessler, et al.. (2024). Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. 7194–7219. 4 indexed citations
5.
Yang, Rui, Edison Marrese-Taylor, Yuhe Ke, et al.. (2024). KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. 155–166. 14 indexed citations
6.
Greene, Derek, et al.. (2024). Topic-Centric Explanations for News Recommendation. 3(2). 1–25. 3 indexed citations
7.
Yang, Rui, Benjamin Rosand, Tiarnán D L Keenan, et al.. (2024). Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study. Journal of Medical Internet Research. 26. e60601–e60601. 7 indexed citations
8.
Li, Irene, Ruihai Dong, Lei Li, & Li Chen. (2024). EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models. 1262–1264.
9.
Ke, Yuhe, Rui Yang, Sui An Lie, et al.. (2024). Mitigating Cognitive Biases in Clinical Decision-Making Through Multi-Agent Conversations Using Large Language Models: Simulation Study. Journal of Medical Internet Research. 26. e59439–e59439. 20 indexed citations
10.
Greene, Derek, et al.. (2024). RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models. 3902–3906. 5 indexed citations
12.
Gao, Fan, Hang Jiang, Ruifu Yang, et al.. (2024). Evaluating Large Language Models on Wikipedia-Style Survey Generation. 5405–5418. 5 indexed citations
13.
Li, Irene, et al.. (2023). HiPool: Modeling Long Documents Using Graph Neural Networks. 161–171. 2 indexed citations
14.
15.
Li, Irene, Linfeng Song, Kun Xu, & Dong Yu. (2022). Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6 indexed citations
16.
Li, Irene, Prithviraj Sen, Huaiyu Zhu, Yunyao Li, & Dragomir Radev. (2021). Improving Cross-lingual Text Classification with Zero-shot Instance-Weighting. 1–7. 2 indexed citations
17.
Li, Irene, et al.. (2020). R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning. 1147–1157. 14 indexed citations
18.
Liang, Paul Pu, et al.. (2020). Towards Debiasing Sentence Representations. 5502–5515. 84 indexed citations
20.
Li, Irene, et al.. (2012). State-of-the-art pipeline Structural Health Monitoring systems. 1–4. 4 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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