Kaixin Lu

762 citations
27 papers · 581 · h-index 11

Impact in

Papers in

Kaixin Lu

24 papers receiving 576 citations

Peers

Kaixin Lu
Comparison fields: 5 of 55
  • Control and Systems Engineering 464
  • Computational Theory and Mathematics 202
  • Computer Networks and Communications 255
  • Aerospace Engineering 40
  • Artificial Intelligence 51
Replace Haris E. Psillakis with:
Haris E. Psillakis Greece
Farnaz Adib Yaghmaie United States
Liandi Fang China
Fabin Cheng China
Fanghua Tang China
Song Ling China
Yuling Liang China
Yi Chang China
Kaixin Lu relative to Haris E. Psillakis Greece Haris E. Psillakis's profile →
Citations per field
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Haris E. Psillakis · 1×
Citations per year

Countries citing papers authored by Kaixin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Kaixin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019112
2 2020108
3 201961
4 202144
5 202040
6 201936
7 202134
8 201828
9 201924
10 202215
11 202315
12 20219
13 20239
14 20238
15 20218
16 20236
17 20236
18 20235
19 20244
20 20253

About Kaixin Lu

Kaixin Lu is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence and Genetics, having authored 27 papers that have together received 581 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (16 papers), Adaptive Dynamic Programming Control (12 papers), Iterative Learning Control Systems (6 papers), Neural Networks Stability and Synchronization (4 papers), Piezoelectric Actuators and Control (4 papers), Advanced Control Systems Optimization (3 papers), Distributed Control Multi-Agent Systems (3 papers) and Optimization and Variational Analysis (2 papers). The work is most often cited by research in Control and Systems Engineering (464 citations), Computational Theory and Mathematics (202 citations), Computer Networks and Communications (255 citations), Aerospace Engineering (40 citations) and Artificial Intelligence (51 citations). Kaixin Lu has collaborated with scholars based in China, Singapore and Macao. Frequent co-authors include Zhi Liu, C. L. Philip Chen, Yun Zhang, Yaonan Wang, Guanyu Lai, Haoyong Yu, Shuaishuai Han, Jun Yang, L. L. Chung and Yi Li. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Systems Man and Cybernetics Systems, Neurocomputing, BMC Genomics and IEEE Transactions on Cybernetics.

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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