Xiaohui Yu

5.3k citations
146 papers · 3.4k indexed · 1 hit paper · h-index 30

Impact in

Papers in

Xiaohui Yu

136 papers receiving 3.2k citations

Hit Papers

Automatic detection of rumor on Sina Weibo 2012 · 447 citations
4472012202620162021100200300400

Peers

Xiaohui Yu
Comparison fields: 5 of 176
  • Signal Processing 542
  • Artificial Intelligence 1.3k
  • Transportation 253
  • Information Systems 768
  • Statistical and Nonlinear Physics 331
Replace Sang‐Wook Kim with:
Sang‐Wook Kim South Korea
Chandan K. Reddy United States
Jianhua Ma Japan
Guandong Xu Australia
Hao Peng China
Qiang Qu China
Zhibo Wang China
Kunpeng Zhang China
Shu Wu China
Yong Liu China
Xiaohui Yu relative to Sang‐Wook Kim South Korea Sang‐Wook Kim's profile →
Citations per field
00.5×
Sang‐Wook Kim · 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 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automatic detection of rumor on Sina Weibo
Hit paper breakdown →
2012447
2 2008208
3 2007207
4 2005199
5 2011172
6 2018143
7 2010126
8 2017100
9 200898
10 201891
11 201850
12 201649
13 201547
14 201747
15 201947
16 201846
17 201446
18 200846
19 202142
20 201841

About Xiaohui Yu

Xiaohui Yu is a scholar working on Signal Processing, Transportation, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 146 papers that have together received 3.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (46 papers), Advanced Database Systems and Queries (24 papers), Sentiment Analysis and Opinion Mining (13 papers), Advanced Image and Video Retrieval Techniques (13 papers), Human Mobility and Location-Based Analysis (11 papers), Traffic Prediction and Management Techniques (9 papers), Topic Modeling (8 papers) and Peer-to-Peer Network Technologies (7 papers). The work is most often cited by research in Signal Processing (542 citations), Artificial Intelligence (1.3k citations), Transportation (253 citations), Information Systems (768 citations) and Statistical and Nonlinear Physics (331 citations). Xiaohui Yu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Aijun An, Jimmy Xiangji Huang, Yang Liu, Min Yang, Yang Liu, Fan Yang, Nick Koudas, Yang Liu, Meng Chen and Yang Liu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment, Information Sciences, Scientific Reports and IEEE Transactions on Intelligent Transportation 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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