Qingyao Ai

4.5k citations
89 papers · 1.7k indexed · 1 hit paper · h-index 16
Topics
Topic Modeling (45 papers)Information Retrieval and Search Behavior (20 papers)Natural Language Processing Techniques (15 papers)

In The Last Decade

Qingyao Ai

72 papers receiving 1.6k citations

Hit Papers

Learning Heterogeneous Knowledge Base Embeddings for Expl...2018202620202023201850100150200250

Peers

Qingyao Ai
Comparison fields: 5 of 78
  • Artificial Intelligence 1.3k
  • Information Systems 1.0k
  • Computer Vision and Pattern Recognition 349
  • Management Science and Operations Research 165
  • Computer Networks and Communications 84
Replace Alper Bilge with:
Alper Bilge Türkiye
Weizhi Ma China
Shangsong Liang China
Yashar Deldjoo Italy
Hady W. Lauw Singapore
Zhicheng Dou China
Michael Bendersky United States
Alejandro Bellogín Spain
Laurent Charlin Canada
Ioannis Konstas United Kingdom
Qingyao Ai relative to Alper Bilge Türkiye Alper Bilge's profile →
Citations per field
00.5×1.5×2.2×
Alper Bilge · 1×
Citations per year

Countries citing papers authored by Qingyao Ai

Since Specialization
Citations

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

Fields of papers citing papers by Qingyao Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyao Ai

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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14 16
15 2
16 11
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About Qingyao Ai

Qingyao Ai is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 89 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (45 papers), Information Retrieval and Search Behavior (20 papers) and Natural Language Processing Techniques (15 papers). The work is most often cited by research in Information Systems (1.0k citations), Artificial Intelligence (1.3k citations) and Computer Vision and Pattern Recognition (349 citations). Qingyao Ai has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include W. Bruce Croft, Yongfeng Zhang, Yang Liu, Yongfeng Zhang, Xu Chen, Jiafeng Guo, Xu Chen, Xu Chen, Liang Pang and Xueqi Cheng. Their work appears in journals such as Scientific Reports, Information Processing & Management and ACM Transactions on Information Systems.

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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