Simon X. Yang

15.4k citations
596 papers · 12.3k · h-index 56

Impact in

Papers in

Simon X. Yang

564 papers receiving 11.9k citations

Peers

Simon X. Yang
Comparison fields: 5 of 166
  • Computer Vision and Pattern Recognition 3.6k
  • Control and Systems Engineering 2.5k
  • Ocean Engineering 1.3k
  • Computer Networks and Communications 1.5k
  • Process Chemistry and Technology 92
Replace Dan Zhang with:
Dan Zhang China
Wen‐Hua Chen United Kingdom
Achim J. Lilienthal Sweden
Jaime Lloret Spain
Junfei Qiao China
Meng Joo Er Singapore
Changyin Sun China
Jacek M. Żurada United States
Andrew Lewis Australia
Hossein Nezamabadi–pour Iran
Simon X. Yang relative to Dan Zhang China Dan Zhang's profile →
Citations per field
00.5×2×4×6×8×9.2×
Dan Zhang · 1×
Citations per year

Countries citing papers authored by Simon X. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Simon X. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 596 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004375
2 2004248
3 2000219
4 2012217
5 2008192
6 2001164
7 2016161
8 2004153
9 2009145
10 2011142
11 2015137
12 2013131
13 2007127
14 2017119
15 2003116
16 2011115
17 2011112
18 2020112
19 2006110
20 2012108

About Simon X. Yang

Simon X. Yang is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence and Ocean Engineering, having authored 596 papers that have together received 12.3k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (127 papers), Control and Dynamics of Mobile Robots (75 papers), Underwater Vehicles and Communication Systems (43 papers), Distributed Control Multi-Agent Systems (39 papers), Smart Agriculture and AI (38 papers), Fuzzy Logic and Control Systems (28 papers), Adaptive Control of Nonlinear Systems (23 papers) and Metaheuristic Optimization Algorithms Research (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.6k citations), Control and Systems Engineering (2.5k citations), Ocean Engineering (1.3k citations), Computer Networks and Communications (1.5k citations) and Process Chemistry and Technology (92 citations). Simon X. Yang has collaborated with scholars based in Canada, China and Hong Kong. Frequent co-authors include Max Q.‐H. Meng, Daqi Zhu, Chaomin Luo, Anmin Zhu, Jianjun Ni, Yanrong Hu, Allan R. Willms, Bing Sun, Xuzhi Lai and Fengchun Tian. Their work appears in journals such as Sensors, IEEE Transactions on Cybernetics, IEEE Transactions on Industrial Electronics, Biosystems Engineering and Expert Systems with Applications.

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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