Jun‐Juh Yan

4.7k total citations · 1 hit paper
181 papers, 3.5k citations indexed

About

Jun‐Juh Yan is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Jun‐Juh Yan has authored 181 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Statistical and Nonlinear Physics, 94 papers in Computer Networks and Communications and 57 papers in Control and Systems Engineering. Recurrent topics in Jun‐Juh Yan's work include Chaos control and synchronization (91 papers), Nonlinear Dynamics and Pattern Formation (63 papers) and Neural Networks Stability and Synchronization (53 papers). Jun‐Juh Yan is often cited by papers focused on Chaos control and synchronization (91 papers), Nonlinear Dynamics and Pattern Formation (63 papers) and Neural Networks Stability and Synchronization (53 papers). Jun‐Juh Yan collaborates with scholars based in Taiwan, China and United States. Jun‐Juh Yan's co-authors include Teh‐Lu Liao, Zhixiao Xie, Her‐Terng Yau, Kuo‐Kai Shyu, Meei-Ling Hung, Wei‐Der Chang, Yi‐You Hou, Chao‐Lin Kuo, Chi‐Chuan Hwang and Jean‐Claude Thill and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Industrial Electronics.

In The Last Decade

Jun‐Juh Yan

169 papers receiving 3.4k citations

Hit Papers

Kernel Density Estimation of traffic accidents in a netwo... 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐Juh Yan Taiwan 32 1.7k 1.6k 1.0k 384 350 181 3.5k
Pengjian Shang China 33 2.0k 1.2× 358 0.2× 437 0.4× 464 1.2× 145 0.4× 288 4.6k
Guo Chen China 35 481 0.3× 1.4k 0.9× 1.5k 1.5× 528 1.4× 338 1.0× 230 4.0k
Pierre Borgnat France 26 357 0.2× 690 0.4× 276 0.3× 750 2.0× 323 0.9× 114 2.4k
Roberto Setola Italy 25 370 0.2× 690 0.4× 611 0.6× 277 0.7× 125 0.4× 190 2.4k
Mihailo R. Jovanović United States 29 693 0.4× 728 0.5× 1.2k 1.2× 296 0.8× 43 0.1× 187 3.7k
Jun Liu China 27 406 0.2× 887 0.6× 1.4k 1.4× 312 0.8× 227 0.6× 235 2.9k
Yao Zheng China 26 270 0.2× 623 0.4× 183 0.2× 173 0.5× 162 0.5× 257 2.9k
Prashant G. Mehta United States 23 256 0.2× 279 0.2× 736 0.7× 435 1.1× 45 0.1× 130 2.0k
Kevin Jones United States 33 87 0.1× 989 0.6× 975 1.0× 539 1.4× 338 1.0× 208 4.8k
Yueying Wang China 34 268 0.2× 1.6k 1.0× 3.0k 2.9× 381 1.0× 170 0.5× 172 4.4k

Countries citing papers authored by Jun‐Juh Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Juh Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Juh Yan. 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 Jun‐Juh Yan. The network helps show where Jun‐Juh Yan may publish in the future.

Co-authorship network of co-authors of Jun‐Juh Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Juh Yan. A scholar is included among the top collaborators of Jun‐Juh Yan 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 Jun‐Juh Yan. Jun‐Juh Yan 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.
Yan, Jun‐Juh, et al.. (2025). Channa argus optimizer for solving numerical optimization and engineering problems. Scientific Reports. 15(1). 21502–21502.
2.
Wang, Fang, Shengyi Li, Weijin Yan, et al.. (2025). Dependence of riverine total phosphorus retention and fluxes on hydrology and river size at river network scale. Journal of Hydrology. 652. 132676–132676. 1 indexed citations
4.
Liu, Chien-Chun, Chih‐Chiang Chen, Jun‐Juh Yan, & Teh‐Lu Liao. (2024). Design of a Multiple Pseudorandom Number Generator Combined Chaotic System With RNS and Its Application to Secure Image Processing. IEEE Access. 12. 155246–155258.
5.
Yan, Jun‐Juh, et al.. (2024). A Novel Design of Random Number Generators Using Chaos-Based Extremum Coding. IEEE Access. 12. 24039–24047. 4 indexed citations
7.
Yan, Jun‐Juh, et al.. (2024). Chaotic Wind-Driven Optimization with Hyperbolic Tangent Model and T-Distributed Mutation Strategy. Mathematical Problems in Engineering. 2024. 1–21.
8.
Liu, Xinghua, et al.. (2023). Distributed Finite- Time Secondary Voltage Control of Microgrid. 7261–7266.
9.
Yao, Jinli, Jun‐Juh Yan, Hua Ge, et al.. (2022). Data Quality Criteria for Urban Waste Management Policy-Making Using Environment-based Design*. IFAC-PapersOnLine. 55(10). 1435–1440. 1 indexed citations
10.
Hua, Shugui, et al.. (2019). Analysis on the Concept of Intermolecular Interactions and van der Waals Force in the Teaching of University Chemistry. University Chemistry. 34(1). 104–107. 1 indexed citations
11.
12.
Liao, Teh‐Lu, et al.. (2018). Distributed adaptive dynamic surface formation control for uncertain multiple quadrotor systems with interval type-2 fuzzy neural networks. Transactions of the Institute of Measurement and Control. 41(7). 1861–1879. 8 indexed citations
13.
Liao, Teh‐Lu, et al.. (2014). An Improved Adaptive Tracking Controller of Permanent Magnet Synchronous Motor. Abstract and Applied Analysis. 2014. 1–12. 3 indexed citations
14.
Liao, Teh‐Lu, et al.. (2014). Adaptive Sliding Mode Control of Chaos in Permanent Magnet Synchronous Motor via Fuzzy Neural Networks. Mathematical Problems in Engineering. 2014(1). 17 indexed citations
15.
Liao, Teh‐Lu, et al.. (2014). Robust Synchronization of Fractional-Order Hyperchaotic Systems Subjected to Input Nonlinearity and Unmatched External Perturbations. Abstract and Applied Analysis. 2014. 1–8. 1 indexed citations
16.
Liao, Teh‐Lu, et al.. (2012). The design of quasi-sliding mode control for a permanent magnet synchronous motor with unmatched uncertainties. Computers & Mathematics with Applications. 64(5). 1036–1043. 37 indexed citations
17.
Yan, Jun‐Juh & Jean‐Claude Thill. (2008). Visual Data Mining in Spatial Interaction Analysis with Self-Organizing Maps. Environment and Planning B Planning and Design. 36(3). 466–486. 42 indexed citations
18.
Yan, Jun‐Juh, et al.. (2006). Robust synchronization of chaotic systems via adaptive sliding mode control. Physics Letters A. 356(3). 220–225. 90 indexed citations
19.
Yan, Jun‐Juh. (2004). H∞ controlling hyperchaos of the Rössler system with input nonlinearity. Chaos Solitons & Fractals. 21(2). 283–293. 18 indexed citations
20.
Worthington, T. K., Jun‐Juh Yan, & J. U. Trefny. (1976). Shape analysis of pulsed second sound in He II. Journal of Low Temperature Physics. 22(3-4). 293–300. 12 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.

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