Ruohan Yang

639 total citations
47 papers, 446 citations indexed

About

Ruohan Yang is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ruohan Yang has authored 47 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 22 papers in Control and Systems Engineering and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Ruohan Yang's work include Distributed Control Multi-Agent Systems (22 papers), Neural Networks Stability and Synchronization (11 papers) and Adaptive Control of Nonlinear Systems (8 papers). Ruohan Yang is often cited by papers focused on Distributed Control Multi-Agent Systems (22 papers), Neural Networks Stability and Synchronization (11 papers) and Adaptive Control of Nonlinear Systems (8 papers). Ruohan Yang collaborates with scholars based in China, Hong Kong and United States. Ruohan Yang's co-authors include Gang Feng, Lu Liu, Zhichao Feng, Huaicheng Yan, Hao Zhang, Zhijie Zhou, Changhua Hu, Wei He, Yue Li and Deyun Zhou and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and Expert Systems with Applications.

In The Last Decade

Ruohan Yang

39 papers receiving 441 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ruohan Yang China 12 240 213 69 58 48 47 446
Sergey Gorbachev China 14 215 0.9× 206 1.0× 75 1.1× 102 1.8× 30 0.6× 66 488
Naoki Hayashi Japan 10 253 1.1× 109 0.5× 61 0.9× 62 1.1× 22 0.5× 58 385
Huanyu Zhao China 17 480 2.0× 330 1.5× 94 1.4× 93 1.6× 30 0.6× 43 745
Hongjie Ni China 10 169 0.7× 259 1.2× 37 0.5× 33 0.6× 19 0.4× 34 380
Junyan Yu China 11 677 2.8× 235 1.1× 22 0.3× 96 1.7× 24 0.5× 32 841
Amir Hossein Barshooi Iran 5 166 0.7× 83 0.4× 91 1.3× 35 0.6× 17 0.4× 11 338
Jyotirmay Gadewadikar United States 8 70 0.3× 348 1.6× 41 0.6× 31 0.5× 62 1.3× 20 444
Taha Boukhobza France 15 117 0.5× 425 2.0× 38 0.6× 45 0.8× 79 1.6× 60 577
Usman Ashraf Pakistan 12 298 1.2× 35 0.2× 70 1.0× 92 1.6× 21 0.4× 45 469

Countries citing papers authored by Ruohan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ruohan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruohan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruohan Yang. A scholar is included among the top collaborators of Ruohan Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ruohan Yang. Ruohan Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Ruohan, et al.. (2025). Situation assessment of high-speed aircraft swarms based on belief rule base with missing data. Measurement. 246. 116713–116713. 1 indexed citations
2.
Feng, Zhichao, et al.. (2025). Latent Fault Diagnosis for Liquid Launch Vehicle Using Belief Rule Base With State Miner. IEEE Transactions on Instrumentation and Measurement. 74. 1–11.
3.
4.
Yang, Ruohan, et al.. (2025). Distributed fault-tolerant for leader-following multi-unmanned aerial vehicle systems with faulty sensors based on belief rule base. Engineering Applications of Artificial Intelligence. 157. 111388–111388. 2 indexed citations
5.
Zhang, Haoran, et al.. (2025). Formation efficacy assessment of high-speed air vehicle swarms via the continuous belief rule base with heterogeneous data augmentation. Engineering Applications of Artificial Intelligence. 163. 112873–112873.
6.
Xu, Yuan, et al.. (2025). Expectation–maximization-based Kalman filter under colored measurement noise for INS-based integrated human localization. Mechanical Systems and Signal Processing. 228. 112461–112461.
7.
Zhang, Haoran, Ruohan Yang, & Wei He. (2024). Efficacy assessment for multi-vehicle formations based on data augmentation considering reliability. Advanced Engineering Informatics. 61. 102504–102504. 6 indexed citations
8.
Zhang, Haoran, Ruohan Yang, Wei He, & Zhichao Feng. (2024). Cooperative performance assessment for multiagent systems based on the belief rule base with continuous inputs. Information Sciences. 676. 120815–120815. 7 indexed citations
9.
Yang, Ruohan, et al.. (2024). Dual Kalman Filter Based on a Single Direction under Colored Measurement Noise for INS-Based Integrated Human Localization. Electronics. 13(15). 3027–3027. 5 indexed citations
10.
Feng, Zhichao, et al.. (2024). New Evidential Reasoning-Rule Based Optimal Maintenance Time Determining Method Considering Dynamic Parameter Boundary. IEEE Transactions on Industrial Informatics. 21(2). 1239–1248.
11.
Li, Yue, Qing Gao, Ruohan Yang, & Hao Liu. (2023). Finite-time formation control of nonaffine nonlinear systems under directed communication interactions. Journal of the Franklin Institute. 360(11). 7180–7205. 4 indexed citations
12.
Yang, Ruohan, et al.. (2023). Algorithm efficiency and hybrid applications of quantum computing. Theoretical and Natural Science. 11(1). 280–290. 1 indexed citations
13.
He, Wei, et al.. (2023). A new belief rule base based distributed online fault diagnosis method for multi‐agent systems. Asian Journal of Control. 26(2). 668–682. 1 indexed citations
14.
Feng, Zhichao, Ruohan Yang, Zhijie Zhou, Hongtian Chen, & Changhua Hu. (2023). Online Fault Diagnosis and Tolerance Based on Multiexpert Joint Belief Rule Base for Sensor Failures of Vehicles. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 22 indexed citations
15.
Feng, Zhichao, Ruohan Yang, Zhijie Zhou, & Changhua Hu. (2023). Trustworthy Fault Diagnosis Method Based on Belief Rule Base With Multisource Uncertain Information for Vehicle. IEEE Transactions on Industrial Electronics. 71(7). 7947–7956. 37 indexed citations
16.
Zhang, Haoran, et al.. (2023). Resilient Formation Reconfiguration for Leader–Follower Multi-UAVs. Applied Sciences. 13(13). 7385–7385. 9 indexed citations
17.
Yang, Ruohan, et al.. (2023). Simultaneous Fault Detection and Leader-Following Consensus for Multiagent Systems With Directed Graphs via Dynamic Event-Triggered Strategy. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 11 indexed citations
18.
Yang, Ruohan, Lu Liu, & Gang Feng. (2022). Cooperative Tracking Control of Unknown Discrete-Time Linear Multiagent Systems Subject to Unknown External Disturbances. IEEE Transactions on Cybernetics. 53(10). 6516–6528. 14 indexed citations
19.
Feng, Zhichao, et al.. (2022). Fault-tolerant control based on belief rule base expert system for multiple sensors concurrent failure in liquid launch vehicle. Nonlinear Dynamics. 111(5). 4357–4373. 19 indexed citations
20.
Yang, Ruohan, et al.. (2022). A novel belief rule base expert system with interval-valued references. Scientific Reports. 12(1). 6786–6786. 13 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sergey Gorbachev Breakdown of academic impact, for papers by Naoki Hayashi Breakdown of academic impact, for papers by Huanyu Zhao Breakdown of academic impact, for papers by Hongjie Ni Breakdown of academic impact, for papers by Junyan Yu Breakdown of academic impact, for papers by Amir Hossein Barshooi Breakdown of academic impact, for papers by Jyotirmay Gadewadikar Breakdown of academic impact, for papers by Taha Boukhobza Breakdown of academic impact, for papers by Usman Ashraf
Rankless by CCL
2026