Wanli Yu

497 citations
31 papers · 363 · h-index 10

Impact in

Papers in

Wanli Yu

29 papers receiving 352 citations

Peers

Wanli Yu
Comparison fields: 5 of 46
  • Control and Systems Engineering 182
  • Computer Networks and Communications 113
  • Mechanical Engineering 97
  • Mechanics of Materials 58
  • Medical Laboratory Technology 3
Replace Abel Cavalcante Lima Filho with:
Abel Cavalcante Lima Filho Brazil
Hongyun Xiong China
Xiaomin Zhao China
Zhongrui Hu China
Suzanne Lesecq France
Chenglin Wu China
Xiaojia Han China
Chi-Jo Wang Taiwan
Wanli Yu relative to Abel Cavalcante Lima Filho Brazil Abel Cavalcante Lima Filho's profile →
Citations per field
00.5×4.1×
Abel Cavalcante Lima Filho · 1×
Citations per year

Countries citing papers authored by Wanli Yu

Since Specialization
Citations

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

Fields of papers citing papers by Wanli Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Wanli 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 Wanli Yu Line = papers co-authored together Wanli Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202277
2 202372
3 202234
4 201726
5 202321
6 201918
7 201517
8 201915
9 201413
10 202010
11 20217
12 20137
13 20157
14 20166
15 20204
16 20234
17 20184
18 20163
19 20233
20 20192

About Wanli Yu

Wanli Yu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 31 papers that have together received 363 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (15 papers), Energy Harvesting in Wireless Networks (8 papers), Machine Fault Diagnosis Techniques (6 papers), Advanced Neural Network Applications (4 papers), IoT and Edge/Fog Computing (4 papers), Distributed Sensor Networks and Detection Algorithms (4 papers), Indoor and Outdoor Localization Technologies (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (182 citations), Computer Networks and Communications (113 citations), Mechanical Engineering (97 citations), Mechanics of Materials (58 citations) and Medical Laboratory Technology (3 citations). Wanli Yu has collaborated with scholars based in Germany, China and Netherlands. Frequent co-authors include Alberto García-Ortiz, Xiao Yu, Kun Yu, Enjie Ding, Haidong Shao, Youjie Wang, Fei Dong, Li Sun, Ke Feng and Yongchao Zhang. Their work appears in journals such as IEEE Sensors Journal, IEEE Internet of Things Journal, IEEE Access, Applied Sciences and IEEE Transactions on Instrumentation and Measurement.

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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