Qingxiu Dong

49 total papers · 1000 total citations
11 papers, 266 citations indexed

About

Qingxiu Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Qingxiu Dong has authored 11 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Qingxiu Dong's work include Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (5 papers). Qingxiu Dong is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (7 papers) and Multimodal Machine Learning Applications (5 papers). Qingxiu Dong collaborates with scholars based in China, United States and Hong Kong. Qingxiu Dong's co-authors include Lei Li, Jingjing Xu, Zhifang Sui, Ce Zheng, Damai Dai, Heming Xia, Zhiyong Wu, Baobao Chang, Xu Sun and Rui Li and has published in prestigious journals such as 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 256 citations

Hit Papers

A Survey on In-context Le... 2024 2026 2024 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. A Survey on In-context Learning
    2024 154 citations Qingxiu Dong, Lei Li et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qingxiu Dong 186 45 35 17 10 11 266
Lukas Gianinazzi 126 0.7× 49 1.1× 27 0.8× 28 1.6× 9 0.9× 11 207
Ori Ram 230 1.2× 71 1.6× 30 0.9× 11 0.6× 9 0.9× 7 307
Rob Ashmore 155 0.8× 32 0.7× 36 1.0× 22 1.3× 11 1.1× 9 246
David Uthus 188 1.0× 31 0.7× 41 1.2× 9 0.5× 6 0.6× 13 245
H. Niewiadomski 98 0.5× 27 0.6× 20 0.6× 12 0.7× 9 0.9× 7 170
Dingfan Chen 250 1.3× 66 1.5× 32 0.9× 24 1.4× 13 1.3× 9 287
Jingyuan Ma 97 0.5× 20 0.4× 25 0.7× 13 0.8× 4 0.4× 13 172
Hanjie Chen 226 1.2× 28 0.6× 28 0.8× 10 0.6× 37 3.7× 10 320
Yixin Liu 187 1.0× 38 0.8× 14 0.4× 10 0.6× 5 0.5× 13 255
Negar Maleki 135 0.7× 33 0.7× 40 1.1× 14 0.8× 18 1.8× 9 298

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

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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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2026