Na Lin

632 citations
48 papers · 408 · h-index 11

Impact in

Papers in

    • Iterative Learning Control Systems 29
    • Advanced Control Systems Optimization 14
    • Adaptive Control of Nonlinear Systems 8
    • Piezoelectric Actuators and Control 7
    • Control Systems and Identification 6
    • Fault Detection and Control Systems 3
    • Distributed Control Multi-Agent Systems 5

Na Lin

42 papers receiving 406 citations

Peers

Na Lin
Comparison fields: 5 of 46
  • Control and Systems Engineering 343
  • Computer Networks and Communications 82
  • Computational Theory and Mathematics 37
  • Mechanical Engineering 69
  • Computational Mathematics 1
Replace Liang Tao with:
Liang Tao China
Nazila Nikdel Iran
Liheng Chen China
Xian Yu China
Zhitai Liu China
Pavel Pakshin Russia
Achilles Theodorakopoulos Greece
Baofang Wang China
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Citations per field
00.5×2.7×
Liang Tao · 1×
Citations per year

Countries citing papers authored by Na Lin

Since Specialization
Citations

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

Fields of papers citing papers by Na Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 202353
3 202040
4 202122
5 201920
6 202317
7 202315
8 201814
9 202012
10 202012
11 201612
12 202010
13 20239
14 20219
15 20238
16 20178
17 20198
18 20178
19 20237
20 20216

About Na Lin

Na Lin is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Mechanical Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 48 papers that have together received 408 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (29 papers), Advanced Control Systems Optimization (14 papers), Adaptive Control of Nonlinear Systems (8 papers), Piezoelectric Actuators and Control (7 papers), Advanced machining processes and optimization (6 papers), Control Systems and Identification (6 papers), Distributed Control Multi-Agent Systems (5 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (343 citations), Computer Networks and Communications (82 citations), Computational Theory and Mathematics (37 citations), Mechanical Engineering (69 citations) and Computational Mathematics (1 citation). Na Lin has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Ronghu Chi, Biao Huang, Zhongsheng Hou, Yang Liu, Hongyi Li, Lijie Wang, Huaying Li, Hao Liang, Ruikun Zhang and Yuanjing Feng. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Journal of the Franklin Institute, IEEE Transactions on Cybernetics, Information Sciences and International Journal of Robust and Nonlinear Control.

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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