Shuofei Qiao

510 citations
12 papers · 200 indexed · 1 hit paper · h-index 7
Topics
Topic Modeling (7 papers)Natural Language Processing Techniques (6 papers)Intelligent Tutoring Systems and Adaptive Learning (2 papers)
Journals
World Wide WebProceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Shuofei Qiao

10 papers receiving 193 citations

Hit Papers

LLMs for knowledge graph construction and reasoning: rece...2024202620252024204060

Peers

Shuofei Qiao
Comparison fields: 5 of 47
  • Artificial Intelligence 149
  • Information Systems 27
  • Computer Vision and Pattern Recognition 25
  • Management Science and Operations Research 21
  • Health Informatics 10
Replace Braden Hancock with:
Braden Hancock United States
Shijie Wang China
Jinhao Jiang China
Yihuai Lan China
Nils Blach Switzerland
Ales Kubicek Switzerland
Piotr Nyczyk Switzerland
Yunzhi Yao China
H. Niewiadomski Switzerland
Ehsan Shareghi Australia
Shuofei Qiao relative to Braden Hancock United States Braden Hancock's profile →
Citations per field
00.5×10×15.3×
Braden Hancock · 1×
Citations per year

Countries citing papers authored by Shuofei Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Shuofei Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuofei Qiao

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 1
3 9
4
LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunitiesbreakdown →
73
5 0
6 1
7 12
8 3
9 61
10 6
11 6
12 28

About Shuofei Qiao

Shuofei Qiao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 12 papers that have together received 200 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Intelligent Tutoring Systems and Adaptive Learning (2 papers). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (149 citations) and Management Science and Operations Research (21 citations). Shuofei Qiao has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Ningyu Zhang, Huajun Chen, Shumin Deng, Xiaohan Wang, Chuanqi Tan, Jing Chen, Yunzhi Yao, Fei Huang, Yunzhi Yao and Xiang Chen. Their work appears in journals such as World Wide Web 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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