Rumei Li

569 total citations · 1 hit paper
5 papers, 329 citations indexed

About

Rumei Li is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Rumei Li has authored 5 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Rumei Li's work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Advanced Graph Neural Networks (2 papers). Rumei Li is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Advanced Graph Neural Networks (2 papers). Rumei Li collaborates with scholars based in China. Rumei Li's co-authors include Weiran Xu, Sirui Wang, Fuzheng Zhang, Wei Wu, Yuanmeng Yan, Daoguang Zan, Hongzhi Zhang, Zhang Xiong, Wenge Rong and Ming Diao and has published in prestigious journals such as Machine Learning, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Rumei Li

4 papers receiving 321 citations

Hit Papers

ConSERT: A Contrastive Fr... 2021 2026 2022 2024 2021 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
Rumei Li China 3 296 74 47 13 10 5 329
Zeyang Lei China 7 314 1.1× 58 0.8× 42 0.9× 9 0.7× 11 1.1× 16 363
Rajen Subba United States 9 366 1.2× 83 1.1× 58 1.2× 9 0.7× 9 0.9× 18 396
Ryohei Sasano Japan 11 282 1.0× 48 0.6× 42 0.9× 6 0.5× 8 0.8× 50 320
Eric Nalisnick United States 7 173 0.6× 42 0.6× 47 1.0× 9 0.7× 10 1.0× 19 214
Kurt Shuster Israel 7 324 1.1× 68 0.9× 32 0.7× 7 0.5× 11 1.1× 14 351
Claudiu Musat Switzerland 10 303 1.0× 78 1.1× 54 1.1× 4 0.3× 15 1.5× 20 343
Naveen Arivazhagan United States 3 214 0.7× 55 0.7× 28 0.6× 5 0.4× 13 1.3× 4 249
Oren Melamud Israel 8 410 1.4× 44 0.6× 42 0.9× 8 0.6× 8 0.8× 14 458
Xinxiong Chen China 6 411 1.4× 40 0.5× 86 1.8× 9 0.7× 8 0.8× 11 443
Rotem Dror Israel 9 366 1.2× 57 0.8× 51 1.1× 5 0.4× 8 0.8× 13 427

Countries citing papers authored by Rumei Li

Since Specialization
Citations

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

Fields of papers citing papers by Rumei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rumei Li

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

All Works

5 of 5 papers shown
1.
Diao, Ming, et al.. (2025). SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 39(22). 23778–23786.
2.
Yin, Chuantao, et al.. (2024). TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning. Machine Learning. 113(7). 3999–4012. 1 indexed citations
3.
Li, Rumei, et al.. (2023). Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. 3854–3859. 6 indexed citations
4.
Yan, Yuanmeng, Rumei Li, Sirui Wang, et al.. (2021). ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. 5065–5075. 303 indexed citations breakdown →
5.
Yan, Yuanmeng, Rumei Li, Sirui Wang, et al.. (2021). Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 19 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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