Rumei Li

569 citations
5 papers · 329 indexed · 1 hit paper · h-index 3
Topics
Natural Language Processing Techniques (5 papers)Topic Modeling (5 papers)Advanced Graph Neural Networks (2 papers)
Journals
Machine LearningProceedings of the 2021 Conference on Empirical Methods in Natural Language ProcessingProceedings of the AAAI Conference on Artificial Intelligence
Partner nations
China

In The Last Decade

Rumei Li

4 papers receiving 321 citations

Hit Papers

ConSERT: A Contrastive Framework for Self-Supervised Sent...20212026202220242021100200300

Peers

Rumei Li
Comparison fields: 5 of 46
  • Artificial Intelligence 296
  • Computer Vision and Pattern Recognition 74
  • Information Systems 47
  • Computer Networks and Communications 13
  • Sociology and Political Science 10
Replace Ryohei Sasano with:
Ryohei Sasano Japan
Xinxiong Chen China
Oren Melamud Israel
Zeyang Lei China
Rajen Subba United States
Eric Nalisnick United States
Penghui Wei China
Jiwei Tan China
Dan Garrette United States
John Wieting United States
Rumei Li relative to Ryohei Sasano Japan Ryohei Sasano's profile →
Citations per field
00.5×5.1×
Ryohei Sasano · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 6
4
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transferbreakdown →
303
5 19

About Rumei Li

Rumei Li is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 329 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Artificial Intelligence (296 citations), Computer Vision and Pattern Recognition (74 citations) and Information Systems (47 citations). Rumei Li has collaborated with scholars based in China. Frequent co-authors include Sirui Wang, Weiran Xu, Wei Wu, Fuzheng Zhang, Yuanmeng Yan, Daoguang Zan, Hongzhi Zhang, Shiyang Liu, Wenge Rong and Chuantao Yin. Their work appears in 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.

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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