Qingxiu Dong

1.0k citations
11 papers · 297 indexed · 1 hit paper · h-index 7
Topics
Topic Modeling (9 papers)Natural Language Processing Techniques (7 papers)Multimodal Machine Learning Applications (5 papers)
Journals
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

In The Last Decade

Qingxiu Dong

10 papers receiving 283 citations

Hit Papers

A Survey on In-context Learning202420262025202450100150

Peers

Qingxiu Dong
Comparison fields: 5 of 62
  • Artificial Intelligence 199
  • Computer Vision and Pattern Recognition 50
  • Information Systems 39
  • Computer Networks and Communications 18
  • Control and Systems Engineering 11
Replace Le Sun with:
Le Sun China
Shaochen Zhong United States
Lukas Gianinazzi Switzerland
Quentin Anthony United States
Hongye Jin United States
Yeganeh Kordi United States
Max Hort United Kingdom
Hengyi Cai China
Shitao Xiao China
Christopher A. Choquette-Choo United States
Qingxiu Dong relative to Le Sun China Le Sun's profile →
Citations per field
00.5×
Le Sun · 1×
Citations per year

Countries citing papers authored by Qingxiu Dong

Since Specialization
Citations

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

Fields of papers citing papers by Qingxiu Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingxiu Dong

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 3
2 45
3 0
4 13
5
A Survey on In-context Learningbreakdown →
173
6 10
7 15
8 1
9 17
10 5
11 15

About Qingxiu Dong

Qingxiu Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 11 papers that have together received 297 indexed citations. Recurring topics across this work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (5 papers). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (199 citations) and Computer Vision and Pattern Recognition (50 citations). Qingxiu Dong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jingjing Xu, Zhifang Sui, Ce Zheng, Baobao Chang, Zhiyong Wu, Heming Xia, Damai Dai, Xu Sun, Rui Li and Jingyuan Ma. Their work appears in journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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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