Kan Xie

3.8k citations
99 papers · 2.9k · h-index 30

Impact in

Papers in

Kan Xie

97 papers receiving 2.8k citations

Peers

Kan Xie
Comparison fields: 5 of 103
  • Control and Systems Engineering 1.4k
  • Computer Networks and Communications 1.0k
  • Computational Mathematics 22
  • Computational Theory and Mathematics 510
  • Energy Engineering and Power Technology 61
Replace Reinaldo M. Palhares with:
Reinaldo M. Palhares Brazil
Vijay Gupta United States
Raul‐Cristian Roman Romania
Emiliano Dall’Anese United States
Ștefan Preitl Romania
Yan Song China
Baocang Ding China
Jun‐ichi Imura Japan
Lei Zou China
Roozbeh Razavi‐Far Canada
Kan Xie relative to Reinaldo M. Palhares Brazil Reinaldo M. Palhares's profile →
Citations per field
00.5×7.6×
Reinaldo M. Palhares · 1×
Citations per year

Countries citing papers authored by Kan Xie

Since Specialization
Citations

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

Fields of papers citing papers by Kan Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015217
2 2016182
3 2019171
4 2020121
5 2019120
6 202090
7 201690
8 201787
9 201683
10 202182
11 202081
12 202280
13 201978
14 201873
15 201866
16 201964
17 201663
18 201753
19 202249
20 202246

About Kan Xie

Kan Xie is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence and Signal Processing, having authored 99 papers that have together received 2.9k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (17 papers), Distributed Control Multi-Agent Systems (15 papers), Adaptive Control of Nonlinear Systems (15 papers), Neural Networks Stability and Synchronization (15 papers), Smart Grid Energy Management (15 papers), Adaptive Dynamic Programming Control (14 papers), Speech and Audio Processing (12 papers) and Stability and Control of Uncertain Systems (9 papers). The work is most often cited by research in Control and Systems Engineering (1.4k citations), Computer Networks and Communications (1.0k citations), Computational Mathematics (22 citations), Computational Theory and Mathematics (510 citations) and Energy Engineering and Power Technology (61 citations). Kan Xie has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Shengli Xie, Ci Chen, Weifeng Zhong, Frank L. Lewis, C. L. Philip Chen, Yun Zhang, Zhi Liu, Chao Yang, Yi Liu and Yong Xu. Their work appears in journals such as Automatica, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Automatic Control, IEEE Transactions on Vehicular Technology and IEEE Access.

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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