Jun‐Juh Yan

4.7k citations
181 papers · 3.5k · 1 hit paper · h-index 32

Impact in

Papers in

Jun‐Juh Yan

169 papers receiving 3.4k citations

Jun‐Juh Yan's Hit Papers

Kernel Density Estimation of traffic accidents in a network space 2008 · 485 citations
4850+6+12Years since publication100200300400

Peers

Jun‐Juh Yan
Comparison fields: 5 of 121
  • Statistical and Nonlinear Physics 1.7k
  • Computer Networks and Communications 1.6k
  • Control and Systems Engineering 1.0k
  • Transportation 254
  • Safety, Risk, Reliability and Quality 169
Replace Pengjian Shang with:
Pengjian Shang China
Guo Chen China
Pierre Borgnat France
Mihailo R. Jovanović United States
Prashant G. Mehta United States
Jun Liu China
Costas Papadimitriou Greece
Roberto Setola Italy
Yueying Wang China
Tong Wang China
Jun‐Juh Yan relative to Pengjian Shang China Pengjian Shang's profile →
Citations per field
00.5×5.6×
Pengjian Shang · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 181 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Kernel Density Estimation of traffic accidents in a network space
Hit paper breakdown →
2008485
2 1993143
3 2005123
4 200692
5 200690
6 200682
7 200671
8 200367
9 200767
10 200665
11 200865
12 200951
13 201649
14 200448
15 200346
16 200746
17 200645
18 200643
19 200743
20 200842

About Jun‐Juh Yan

Jun‐Juh Yan is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 181 papers that have together received 3.5k indexed citations. Recurring topics across this work include Chaos control and synchronization (91 papers), Nonlinear Dynamics and Pattern Formation (63 papers), Neural Networks Stability and Synchronization (53 papers), Quantum chaos and dynamical systems (41 papers), Adaptive Control of Nonlinear Systems (25 papers), Chaos-based Image/Signal Encryption (23 papers), Stability and Control of Uncertain Systems (20 papers) and Cellular Automata and Applications (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Computer Networks and Communications (1.6k citations), Control and Systems Engineering (1.0k citations), Transportation (254 citations) and Safety, Risk, Reliability and Quality (169 citations). Jun‐Juh Yan has collaborated with scholars based in Taiwan, China and United States. Frequent 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, Jean‐Claude Thill and Chi‐Chuan Hwang. Their work appears in journals such as Chaos Solitons & Fractals, Expert Systems with Applications, International Journal of Nonlinear Sciences and Numerical Simulation, Physics Letters A and IEEE Access.

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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