Boxian Lin

434 citations
50 papers · 183 · h-index 9

Impact in

Papers in

Boxian Lin

36 papers receiving 180 citations

Peers

Boxian Lin
Comparison fields: 5 of 42
  • Computer Networks and Communications 116
  • Control and Systems Engineering 80
  • Aerospace Engineering 44
  • Computational Theory and Mathematics 16
  • Computer Vision and Pattern Recognition 14
Replace Dongkun Han with:
Dongkun Han Hong Kong
Mario Di Ferdinando Italy
Jason J. R. Liu China
Mattia Mattioni Italy
Huarong Zhao China
Qingzhi Wang China
Yuanzhen Feng China
Ruicheng Ma China
M. Norman United Kingdom
Ho Youl Jung South Korea
Boxian Lin relative to Dongkun Han Hong Kong Dongkun Han's profile →
Citations per field
00.5×
Dongkun Han · 1×
Citations per year

Countries citing papers authored by Boxian Lin

Since Specialization
Citations

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

Fields of papers citing papers by Boxian Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202318
2 202416
3 202314
4 202314
5 202311
6 202410
7 202110
8 20258
9 20228
10 20247
11 20207
12 20245
13 20245
14 20255
15 20204
16 20244
17 20234
18 20234
19 20223
20 20243

About Boxian Lin

Boxian Lin is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 50 papers that have together received 183 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (42 papers), Adaptive Control of Nonlinear Systems (22 papers), Neural Networks Stability and Synchronization (20 papers), Stability and Control of Uncertain Systems (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers), Robotic Path Planning Algorithms (4 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Computer Networks and Communications (116 citations), Control and Systems Engineering (80 citations), Aerospace Engineering (44 citations), Computational Theory and Mathematics (16 citations) and Computer Vision and Pattern Recognition (14 citations). Boxian Lin has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Mengji Shi, Kaiyu Qin, Weihao Li, Lei Shi, Yan Liu, Bowen Chen, Xi Chen, Manqi Zhang, Yuqing Zeng and Quanle Xu. Their work appears in journals such as Drones, Neurocomputing, IEEE Transactions on Network Science and Engineering, Electronics and Applied Intelligence.

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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