Yang Cao

2.9k citations
72 papers · 2.2k indexed · 3 hit papers · h-index 14

Yang Cao

57 papers receiving 2.1k citations

Hit Papers

Personalized Recommendation System Based on Collaborative...3712018202620202023100200300400

Peers

Yang Cao
Comparison fields: 5 of 122
  • Signal Processing 387
  • Computer Networks and Communications 780
  • Information Systems 692
  • Artificial Intelligence 814
  • Computer Vision and Pattern Recognition 370
Replace Fei Xue with:
Fei Xue China
Qianmu Li China
Shigen Shen China
T.L. McCluskey United Kingdom
Kalyan Veeramachaneni United States
Wei Sun China
Yuyu Yin China
Asma Belhadi Norway
Hanlin Zhang China
Una-May O’Reilly United States
Yang Cao relative to Fei Xue China Fei Xue's profile →
Citations per field
00.5×1.5×
Fei Xue · 1×
Citations per year

Countries citing papers authored by Yang Cao

Since Specialization
Citations

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

Fields of papers citing papers by Yang Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20244
4 20240
5 20241
6 20239
7 20231
8 20217
9 20216
10 202120
11 2021107
12
Personalized Recommendation System Based on Collaborative Filtering for IoT Scenariosbreakdown →
2020371
13
A Hybrid BlockChain-Based Identity Authentication Scheme for Multi-WSNbreakdown →
2020392
14 20199
15 2019193
16
A RCS prediction method for multipath effect of the ground plane
20171
17
Forecasting network security threat situation based on ARIMA model
20120
18
Three-dimensional spatial-temporal dimension-reduced adaptive processing for airborne radar
20111
19
Critical Node Density Thresholds for Collaborative Detection in Large Scale WSN
20071
20 20033

About Yang Cao

Yang Cao is a scholar working on Signal Processing, Transportation and Computer Networks and Communications, having authored 72 papers that have together received 2.2k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (8 papers), Human Mobility and Location-Based Analysis (7 papers), Privacy-Preserving Technologies in Data (7 papers), Network Security and Intrusion Detection (6 papers), Cryptography and Data Security (6 papers), Advanced Malware Detection Techniques (6 papers), IoT and Edge/Fog Computing (5 papers) and Mobile Agent-Based Network Management (5 papers). The work is most often cited by research in Signal Processing (387 citations), Computer Networks and Communications (780 citations) and Information Systems (692 citations). Yang Cao has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Jinjun Chen, Xingjuan Cai, Zhihua Cui, Fei Xue, Wensheng Zhang, Gai‐Ge Wang, Shiqiang Zhang, Xianghua Xu, Wensheng Zhang and Jianghui Cai. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

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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