Jianyong Lin

503 citations
10 papers · 374 indexed · h-index 8
Topics
Distributed Sensor Networks and Detection Algorithms (7 papers)Target Tracking and Data Fusion in Sensor Networks (6 papers)Energy Efficient Wireless Sensor Networks (6 papers)

In The Last Decade

Jianyong Lin

10 papers receiving 361 citations

Peers

Jianyong Lin
Comparison fields: 5 of 41
  • Computer Networks and Communications 261
  • Artificial Intelligence 165
  • Electrical and Electronic Engineering 154
  • Control and Systems Engineering 48
  • Ocean Engineering 33
Replace Jren-Chit Chin with:
Jren-Chit Chin United States
Jason C. Tillett United States
Li Cui China
Phaklen Ehkan Malaysia
Meejoung Kim South Korea
Hassan Ghasemzadeh Mohammadi Germany
Alei Liang China
Xuanli Wu China
Mengjian Zhang China
Yiding Yu Hong Kong
Jianyong Lin relative to Jren-Chit Chin United States Jren-Chit Chin's profile →
Citations per field
00.5×9.5×
Jren-Chit Chin · 1×
Citations per year

Countries citing papers authored by Jianyong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jianyong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianyong Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jianyong Lin. A scholar is included among the top collaborators of Jianyong Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jianyong Lin. Jianyong Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 11
2 10
3 30
4 41
5 21
6 194
7 2
8 31
9 28
10 6

About Jianyong Lin

Jianyong Lin is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 374 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (7 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Energy Efficient Wireless Sensor Networks (6 papers). The work is most often cited by research in Computer Networks and Communications (261 citations), Artificial Intelligence (165 citations) and Electrical and Electronic Engineering (154 citations). Jianyong Lin has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Lihua Xie, Frank L. Lewis, Wendong Xiao, Wendong Xiao, Chen‐Khong Tham, Sen Zhang, Shuli Sun, Zheng Zhang, Guangming Lu and Bingzhi Chen. Their work appears in journals such as Mechanical Systems and Signal Processing, Pattern Recognition Letters 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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