Xiaohui Yu

5.5k citations
167 papers · 4.1k · 1 hit paper · h-index 31

Impact in

Papers in

Xiaohui Yu

155 papers receiving 4.0k citations

Xiaohui Yu's Hit Papers

Automatic detection of rumor on Sina Weibo 2012 · 514 citations
5140+4+9Years since publication100200300400500

Peers

Xiaohui Yu
Comparison fields: 5 of 174
  • Transportation 441
  • Signal Processing 728
  • Artificial Intelligence 1.5k
  • Information Systems 960
  • Statistical and Nonlinear Physics 371
Replace Guanfeng Liu with:
Guanfeng Liu China
Zhiguo Gong Macao
Sang-Wook Kim South Korea
Ling Chen China
Yong Liu China
Fuzhen Zhuang China
Xiangjie Kong China
Qiang Qu China
Jin Huang China
Yanjie Fu United States
Xiaohui Yu relative to Guanfeng Liu China Guanfeng Liu's profile →
Citations per field
00.5×1.5×2×2.5×
Guanfeng Liu · 1×
Citations per year

Countries citing papers authored by Xiaohui Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaohui Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaohui Yu Line = papers co-authored together Xiaohui Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 167 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automatic detection of rumor on Sina Weibo
Hit paper breakdown →
2012514
2 2007242
3 2008241
4 2005236
5 2011200
6 2018163
7 2010138
8 2008106
9 2017105
10 2018101
11 2014100
12 201956
13 201856
14 201954
15 201553
16 201451
17 201651
18 201850
19 201750
20 200848

About Xiaohui Yu

Xiaohui Yu is a scholar working on Signal Processing, Computer Networks and Communications, Transportation, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 167 papers that have together received 4.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (54 papers), Advanced Database Systems and Queries (29 papers), Sentiment Analysis and Opinion Mining (16 papers), Human Mobility and Location-Based Analysis (15 papers), Traffic Prediction and Management Techniques (15 papers), Advanced Image and Video Retrieval Techniques (12 papers), Topic Modeling (11 papers) and Data Quality and Management (8 papers). The work is most often cited by research in Transportation (441 citations), Signal Processing (728 citations), Artificial Intelligence (1.5k citations), Information Systems (960 citations) and Statistical and Nonlinear Physics (371 citations). Xiaohui Yu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Aijun An, Yang Liu, Yang Liu, Fan Yang, Min Yang, Yang Liu, Nick Koudas, Meng Chen, Kevin Pu and Yang Liu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, Information Sciences, IEEE Transactions on Intelligent Transportation Systems and Scientific Reports.

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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