Jianfei Yu

3.1k citations
49 papers · 1.8k indexed · h-index 23
Topics
Sentiment Analysis and Opinion Mining (33 papers)Topic Modeling (32 papers)Advanced Text Analysis Techniques (20 papers)
Partner nations
ChinaSingaporeCanada

In The Last Decade

Jianfei Yu

46 papers receiving 1.7k citations

Peers

Jianfei Yu
Comparison fields: 5 of 64
  • Artificial Intelligence 1.6k
  • Computer Vision and Pattern Recognition 268
  • Information Systems 167
  • Sociology and Political Science 97
  • Experimental and Cognitive Psychology 96
Replace Mrinmaya Sachan with:
Mrinmaya Sachan Switzerland
Urvashi Khandelwal United States
Rowan Zellers United States
Manaal Faruqui United States
Claire Gardent France
Alessandro Sordoni Canada
Ian Tenney United States
Antoine Bosselut United States
Sandra Kübler United States
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Jianfei Yu relative to Mrinmaya Sachan Switzerland Mrinmaya Sachan's profile →
Citations per field
00.5×4.0×
Mrinmaya Sachan · 1×
Citations per year

Countries citing papers authored by Jianfei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jianfei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianfei Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianfei Yu. A scholar is included among the top collaborators of Jianfei Yu 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 Jianfei Yu. Jianfei Yu 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
1 0
2 1
3 3
4 0
5 1
6 5
7 2
8 20
9 11
10 8
11 4
12 64
13 94
14 49
15 81
16 28
17 43
18 67
19
Leveraging auxiliary tasks for document-level cross-domain sentiment classification
5
20
Pairwise relation classification with mirror instances and a combined convolutional neural network
2

About Jianfei Yu

Jianfei Yu is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and General Social Sciences, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (33 papers), Topic Modeling (32 papers) and Advanced Text Analysis Techniques (20 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), General Social Sciences (44 citations) and Computer Vision and Pattern Recognition (268 citations). Jianfei Yu has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Jing Jiang, Rui Xia, Rui Xia, Zixiang Ding, Yang Li, Feng Xu, Li Yang, Jin‐Cheon Na, Kai Chen and Ying Ding. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems and Information Processing & Management.

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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