Yao-Chen Hung

830 citations
19 papers · 691 indexed · h-index 10

Yao-Chen Hung

19 papers receiving 650 citations

Peers

Yao-Chen Hung
Comparison fields: 5 of 45
  • Statistical and Nonlinear Physics 613
  • Computer Networks and Communications 528
  • Statistics, Probability and Uncertainty 29
  • Computer Vision and Pattern Recognition 63
  • Cognitive Neuroscience 45
Replace M. A. Safonova with:
M. A. Safonova Russia
Choy Heng Lai Singapore
Fang Jin-Qing China
Debabrata Biswas India
Gualberto Solı́s-Perales Mexico
Patrick Louodop Cameroon
Léandre Kamdjeu Kengne Cameroon
Hugo L. D. de S. Cavalcante Brazil
Lynn Chua United States
Ling Lü China
Yao-Chen Hung relative to M. A. Safonova Russia M. A. Safonova's profile →
Citations per field
00.5×
M. A. Safonova · 1×
Citations per year

Countries citing papers authored by Yao-Chen Hung

Since Specialization
Citations

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

Fields of papers citing papers by Yao-Chen Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao-Chen Hung. 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 Yao-Chen Hung. The network helps show where Yao-Chen Hung may publish in the future.

Co-authorship network

The 9 scholars most cited alongside Yao-Chen Hung, 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 Yao-Chen Hung Line = papers co-authored together Yao-Chen Hung links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20191
2 20183
3 20165
4 20144
5 20133
6 20134
7 20116
8 201060
9 200835
10 200857
11 20089
12 200627
13 20062
14 20066
15 200517
16 200555
17 200414
18 2002227
19 2002156

About Yao-Chen Hung

Yao-Chen Hung is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Media Technology, having authored 19 papers that have together received 691 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (13 papers), Chaos control and synchronization (9 papers), stochastic dynamics and bifurcation (7 papers), Gene Regulatory Network Analysis (6 papers), Quantum chaos and dynamical systems (4 papers), Chaos-based Image/Signal Encryption (2 papers), Cellular Automata and Applications (2 papers) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (613 citations), Computer Networks and Communications (528 citations), Statistics, Probability and Uncertainty (29 citations), Computer Vision and Pattern Recognition (63 citations) and Cognitive Neuroscience (45 citations). Yao-Chen Hung has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Ming‐Chung Ho, Chin‐Kun Hu, I-Min Jiang, Zhiyu Liu, Yu‐Ting Huang, Chia‐Ju Liu, Jing-Yuan Ko, Zbigniew R. Struzik and Shih‐Hsin Ma. Their work appears in journals such as Physics Letters A, Nonlinear Dynamics, Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals and International Journal of Bifurcation and Chaos.

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

Rankless by CCL
2026