Yinpei Dai

404 citations
14 papers · 201 indexed · h-index 8
Topics
Speech and dialogue systems (10 papers)Topic Modeling (10 papers)Natural Language Processing Techniques (8 papers)
Journals
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information RetrievalProceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Yinpei Dai

13 papers receiving 194 citations

Peers

Yinpei Dai
Comparison fields: 5 of 30
  • Artificial Intelligence 181
  • Computer Vision and Pattern Recognition 44
  • Information Systems 16
  • Social Psychology 9
  • Experimental and Cognitive Psychology 6
Replace Haozhe Ji with:
Haozhe Ji China
Alane Suhr United States
Rongzhong Lian Hong Kong
Tong Niu United States
Emilio Sanchís Spain
Aditya Mogadala India
Minheng Ni China
Mickaël Rouvier France
Yassine Benajiba United States
Yinpei Dai relative to Haozhe Ji China Haozhe Ji's profile →
Citations per field
00.5×1.5×
Haozhe Ji · 1×
Citations per year

Countries citing papers authored by Yinpei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yinpei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinpei Dai

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 9
5 3
6 25
7 48
8 21
9 26
10 11
11 29
12 21
13 1
14 5

About Yinpei Dai

Yinpei Dai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology, having authored 14 papers that have together received 201 indexed citations. Recurring topics across this work include Speech and dialogue systems (10 papers), Topic Modeling (10 papers) and Natural Language Processing Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (181 citations), Computer Vision and Pattern Recognition (44 citations) and Health Informatics (1 citation). Yinpei Dai has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Jian Sun, Fei Huang, Luo Si, Yongbin Li, Xiaodan Zhu, Min Yang, Hangyu Li, Bo-Hsiang Tseng, Bill Byrne and Yongbin Li. Their work appears in journals such as Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval 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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