Xiaojing Shen

1.3k citations
89 papers · 805 · h-index 15

Impact in

Papers in

Xiaojing Shen

83 papers receiving 788 citations

Peers

Xiaojing Shen
Comparison fields: 5 of 113
  • Computer Networks and Communications 296
  • Artificial Intelligence 409
  • Control and Systems Engineering 233
  • Health Informatics 13
  • Statistics and Probability 37
Replace Lingji Chen with:
Lingji Chen China
Hong Gu China
Yuxin Zhao China
Tod Luginbuhl United States
L.B. White Australia
D.M. Hummels United States
Jouni Hartikainen Finland
Emre Özkan Sweden
Yi Mao China
Xiaojing Shen relative to Lingji Chen China Lingji Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaojing Shen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013123
2 202356
3 200940
4 200837
5 201429
6 200829
7 201128
8 201227
9 201227
10 201222
11 201920
12 202116
13 202316
14 201315
15 201314
16 201713
17 201313
18 202311
19 201111
20 201810

About Xiaojing Shen

Xiaojing Shen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 89 papers that have together received 805 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (48 papers), Distributed Sensor Networks and Detection Algorithms (32 papers), Fault Detection and Control Systems (22 papers), Control Systems and Identification (13 papers), Statistical Methods and Inference (6 papers), Gaussian Processes and Bayesian Inference (6 papers), Sparse and Compressive Sensing Techniques (5 papers) and Water Systems and Optimization (3 papers). The work is most often cited by research in Computer Networks and Communications (296 citations), Artificial Intelligence (409 citations), Control and Systems Engineering (233 citations), Health Informatics (13 citations) and Statistics and Probability (37 citations). Xiaojing Shen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yunmin Zhu, Pramod K. Varshney, Yingting Luo, Enbin Song, Xuedong Yuan, Zhiguo Wang, Sijia Liu, Ke Zou, Meng Wang and Zhisheng You. Their work appears in journals such as Automatica, IEEE Transactions on Signal Processing, IEEE Transactions on Automatic Control, IEEE Access and Science China Information Sciences.

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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