Haining Yu

838 citations
41 papers · 489 · h-index 11

Impact in

Papers in

Haining Yu

34 papers receiving 466 citations

Peers

Haining Yu
Comparison fields: 5 of 54
  • Computer Networks and Communications 225
  • Signal Processing 95
  • Artificial Intelligence 231
  • Management Information Systems 61
  • Transportation 36
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Hind Bangui Czechia
Sastry Duri United States
Yunhua He China
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Divine T. Ndumu United Kingdom
Caifeng Zou China
Philip Asuquo United Kingdom
Ingolf H. Krüger United States
Shaojing Fu China
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Citations per field
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Citations per year

Countries citing papers authored by Haining Yu

Since Specialization
Citations

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

Fields of papers citing papers by Haining Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haining 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 Haining Yu Line = papers co-authored together Haining Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202099
2 200968
3 202244
4 201943
5 201939
6 202027
7 200425
8 202021
9 202318
10 200416
11 200614
12 202110
13 20208
14 20058
15 20215
16 20244
17 20214
18 20143
19 20043
20
User Portrait-based Hybrid Recommendation Method of Web Services
20213

About Haining Yu

Haining Yu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Management Information Systems, having authored 41 papers that have together received 489 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (11 papers), Advanced Queuing Theory Analysis (6 papers), Cryptography and Data Security (6 papers), Network Security and Intrusion Detection (6 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), IoT and Edge/Fog Computing (5 papers), Simulation Techniques and Applications (4 papers) and Network Traffic and Congestion Control (3 papers). The work is most often cited by research in Computer Networks and Communications (225 citations), Signal Processing (95 citations), Artificial Intelligence (231 citations), Management Information Systems (61 citations) and Transportation (36 citations). Haining Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongli Zhang, Christos G. Cassandras, Xiangzhan Yu, Xiaohua Jia, Xiaojun Tong, Jiangang Shu, Ibrahim A. Elgendy, Weizhe Zhang, Xiaojiang Du and Mohsen Guizani. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Sensors, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing and Automatica.

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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