Jingyang Mao

444 citations
14 papers · 379 indexed · 1 hit paper · h-index 8

Jingyang Mao

13 papers receiving 374 citations

Hit Papers

Recursive filtering of networked nonlinear systems: a survey192202120262022202450100150

Peers

Jingyang Mao
Comparison fields: 5 of 44
  • Control and Systems Engineering 263
  • Computer Networks and Communications 246
  • Artificial Intelligence 133
  • Computational Theory and Mathematics 21
  • Statistical and Nonlinear Physics 12
Replace Massimiliano d’Angelo with:
Massimiliano d’Angelo Italy
Kaiqun Zhu China
Chaoqing Jia China
Geun Bum Koo South Korea
Peihu Duan China
Pedro Henrique Silva Coutinho Brazil
Bryan Van Scoy United States
Zhenxing Li China
Miloje S. Radenković United States
Jingyang Mao relative to Massimiliano d’Angelo Italy Massimiliano d’Angelo's profile →
Citations per field
00.5×2.6×
Massimiliano d’Angelo · 1×
Citations per year

Countries citing papers authored by Jingyang Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jingyang Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Jingyang Mao, 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 Jingyang Mao Line = papers co-authored together Jingyang Mao links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20230
2 20232
3 202219
4
Recursive filtering of networked nonlinear systems: a surveybreakdown →
2021192
5 202019
6 20206
7 20201
8 201941
9 201911
10 201915
11 20172
12 201714
13 20175
14 201652

About Jingyang Mao

Jingyang Mao is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 14 papers that have together received 379 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (8 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Neural Networks Stability and Synchronization (5 papers), Fault Detection and Control Systems (4 papers), Distributed Control Multi-Agent Systems (4 papers), Fuzzy Systems and Optimization (2 papers) and Fuzzy Logic and Control Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (263 citations), Computer Networks and Communications (246 citations) and Artificial Intelligence (133 citations). Jingyang Mao has collaborated with scholars based in China, Australia and Saudi Arabia. Frequent co-authors include Derui Ding, Hongjian Liu, Ying Sun, Xiaojian Yi, Guoliang Wei, Yurong Liu, Fuad E. Alsaadi, Yan Song, Xiangyu Meng and Xiaohua Ge. Their work appears in journals such as Neurocomputing, International Journal of Systems Science, IET Control Theory and Applications, Signal Processing and IEEE/CAA Journal of Automatica Sinica.

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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