Xinmin Song

1.1k total citations
76 papers, 786 citations indexed

About

Xinmin Song is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Xinmin Song has authored 76 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Control and Systems Engineering, 19 papers in Computer Networks and Communications and 19 papers in Artificial Intelligence. Recurrent topics in Xinmin Song's work include Stability and Control of Uncertain Systems (38 papers), Control Systems and Identification (27 papers) and Target Tracking and Data Fusion in Sensor Networks (18 papers). Xinmin Song is often cited by papers focused on Stability and Control of Uncertain Systems (38 papers), Control Systems and Identification (27 papers) and Target Tracking and Data Fusion in Sensor Networks (18 papers). Xinmin Song collaborates with scholars based in China, Australia and South Korea. Xinmin Song's co-authors include Ju H. Park, Huanshui Zhang, Xuehua Yan, Ben Niu, Zhenhua Wang, Ling Shi, Huaxiang Zhang, Huanqing Wang, Ming Liu and Ding Wang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Xinmin Song

65 papers receiving 770 citations

Peers

Xinmin Song
Comparison fields: 5 of 63
  • Control and Systems Engineering 553
  • Computer Networks and Communications 299
  • Artificial Intelligence 179
  • Computational Theory and Mathematics 96
  • Aerospace Engineering 63
Replace Eduardo F. Costa with:
Eduardo F. Costa Brazil
Mario Sassano Italy
Bo‐Chao Zheng China
Abdellah Benzaouia Morocco
Zigang Pan United States
N. Berman Israel
Pavel Shcherbakov Russia
Dipankar Maity United States
Thulasi Mylvaganam United Kingdom
Leonardo Amaral Mozelli Brazil
Eduardo F. Costa Brazil View profile →
Citations per field, relative to Xinmin Song
Xinmin Song · 1×
Citations per year, relative to Xinmin Song
Xinmin Song · 1×

Countries citing papers authored by Xinmin Song

Since Specialization
Citations

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

Fields of papers citing papers by Xinmin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinmin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xinmin Song. A scholar is included among the top collaborators of Xinmin Song 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 Xinmin Song. Xinmin Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 0
5 0
6 0
7 6
8 2
9 1
10 5
11 1
12 6
13 0
14 6
15 4
16 14
17 34
18 12
19
Optimal linear estimation for multiplicative noise systems with time delay and its duality
2
20
Optimal Filtering for Linear Discrete-Time Systems with Single Delayed Measurement
11

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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