Rong Su

309 papers receiving 4.7k citations

Rong Su's Hit Papers

Data-Driven Tracking Control for Nonaffine Yaw Channel of Helicopter via Off-Policy Reinforcement Learning 2025 · 30 citations
300Years since publication102030

Peers

Rong Su
Comparison fields: 5 of 117
  • Computational Theory and Mathematics 1.6k
  • Control and Systems Engineering 1.7k
  • Industrial and Manufacturing Engineering 647
  • Computer Networks and Communications 1.3k
  • Transportation 355
Replace El‐Ghazali Talbi with:
El‐Ghazali Talbi France
Albert Y. S. Lam Hong Kong
Yue‐Jiao Gong China
Ragunathan Rajkumar United States
Stephan Olariu United States
Ge Guo China
Abdul Hanan Abdullah Malaysia
Minrui Fei China
Anis Koubâa Saudi Arabia
Lucian Buşoniu Romania
Rong Su relative to El‐Ghazali Talbi France El‐Ghazali Talbi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rong Su

Since Specialization
Citations

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

Fields of papers citing papers by Rong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 343 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021150
2 2003127
3 2005127
4 2018121
5 2016117
6 2016114
7 201993
8 201784
9 201775
10
200973
11 201966
12 201664
13 202059
14 200359
15 201758
16 201653
17 201652
18 201952
19 201652
20 202350

About Rong Su

Rong Su is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 343 papers that have together received 4.7k indexed citations. Recurring topics across this work include Petri Nets in System Modeling (94 papers), Formal Methods in Verification (65 papers), Traffic control and management (53 papers), Transportation Planning and Optimization (42 papers), Distributed systems and fault tolerance (36 papers), Traffic Prediction and Management Techniques (32 papers), Distributed Control Multi-Agent Systems (29 papers) and Flexible and Reconfigurable Manufacturing Systems (21 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Control and Systems Engineering (1.7k citations), Industrial and Manufacturing Engineering (647 citations), Computer Networks and Communications (1.3k citations) and Transportation (355 citations). Rong Su has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include W.M. Wonham, Yicheng Zhang, Liyong Lin, Frank L. Lewis, Kun Zhang, Farnaz Adib Yaghmaie, Kaizhou Gao, Lihua Xie, Huaguang Zhang and Jacobus E. Rooda. Their work appears in journals such as Automatica, IEEE Transactions on Automatic Control, IEEE Transactions on Intelligent Transportation Systems, IEEE/CAA Journal of Automatica Sinica and Discrete Event Dynamic Systems.

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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