X Rong Li

1.5k citations
10 papers · 1.1k indexed · 1 hit paper · h-index 6

X Rong Li

9 papers receiving 1.0k citations

Hit Papers

Survey of maneuvering target tracking. part v: multiple-m...8572005202620122019250500750

Peers

X Rong Li
Comparison fields: 5 of 55
  • Artificial Intelligence 953
  • Control and Systems Engineering 436
  • Aerospace Engineering 409
  • Computer Networks and Communications 236
  • Signal Processing 75
Replace Zhansheng Duan with:
Zhansheng Duan China
Y. Boers Netherlands
Jian Lan China
Jindřich Duník Czechia
Emre Özkan Sweden
S. Challa Australia
Zhemin Wu China
Amadou Gning United Kingdom
Maria V. Kulikova Portugal
Dah‐Jing Jwo Taiwan
X Rong Li relative to Zhansheng Duan China Zhansheng Duan's profile →
Citations per field
00.5×1.5×
Zhansheng Duan · 1×
Citations per year

Countries citing papers authored by X Rong Li

Since Specialization
Citations

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

Fields of papers citing papers by X Rong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by X Rong Li. 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 X Rong Li. The network helps show where X Rong Li may publish in the future.

Co-authorship network

The 19 scholars most cited alongside X Rong Li, 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 X Rong Li Line = papers co-authored together X Rong Li links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20250
2 20241
3 20231
4 20232
5 201529
6 201065
7 200735
8
Survey of maneuvering target tracking. part v: multiple-model methodsbreakdown →
2005857
9 200328
10 199994

About X Rong Li

X Rong Li is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (6 papers), Fault Detection and Control Systems (4 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced Data Processing Techniques (1 paper), Indoor and Outdoor Localization Technologies (1 paper), Machine Learning and Algorithms (1 paper) and Advanced Measurement and Detection Methods (1 paper). The work is most often cited by research in Artificial Intelligence (953 citations), Control and Systems Engineering (436 citations) and Aerospace Engineering (409 citations). X Rong Li has collaborated with scholars based in United States and China. Frequent co-authors include Vesselin P. Jilkov, Zhansheng Duan, Yu Liu, Ming Yang, Juan Zhao, Yunmin Zhu, Keshu Zhang, Qinghua Zheng, Changchang Yin and Yalan Zhu. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Signal Processing, Egyptian Informatics Journal, Optics Letters and AIAA Guidance, Navigation, and Control Conference.

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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