Meei-Ling Hung

519 citations
27 papers · 434 · h-index 11

Impact in

Papers in

Meei-Ling Hung

26 papers receiving 411 citations

Peers

Meei-Ling Hung
Comparison fields: 5 of 36
  • Statistical and Nonlinear Physics 332
  • Computer Networks and Communications 285
  • Control and Systems Engineering 99
  • Modeling and Simulation 8
  • Computer Vision and Pattern Recognition 36
Replace Jigui Jian with:
Jigui Jian China
C. Posadas–Castillo Mexico
Jan Řeháček United States
Juan Gonzalo Barajas-Ramírez Mexico
X.X. Liao China
El Abed Assali Tunisia
Liangliang Li China
Mohammad Shahzad Oman
Anaclet Fomethe Cameroon
Meei-Ling Hung relative to Jigui Jian China Jigui Jian's profile →
Citations per field
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Citations per year

Countries citing papers authored by Meei-Ling Hung

Since Specialization
Citations

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

Fields of papers citing papers by Meei-Ling Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Meei-Ling 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 Meei-Ling Hung Line = papers co-authored together Meei-Ling Hung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200690
2 200666
3 200645
4 200641
5 200626
6 200726
7 200724
8 200623
9 200617
10 200515
11 200712
12 201010
13 20067
14 20106
15 20054
16 20083
17 20103
18 20133
19 20133
20 20102

About Meei-Ling Hung

Meei-Ling Hung is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence, having authored 27 papers that have together received 434 indexed citations. Recurring topics across this work include Chaos control and synchronization (17 papers), Nonlinear Dynamics and Pattern Formation (14 papers), Quantum chaos and dynamical systems (8 papers), Neural Networks Stability and Synchronization (7 papers), Neural Networks and Applications (3 papers), Adaptive Control of Nonlinear Systems (3 papers), Semiconductor Quantum Structures and Devices (2 papers) and Chaos-based Image/Signal Encryption (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (332 citations), Computer Networks and Communications (285 citations), Control and Systems Engineering (99 citations), Modeling and Simulation (8 citations) and Computer Vision and Pattern Recognition (36 citations). Meei-Ling Hung has collaborated with scholars based in Taiwan and South Korea. Frequent co-authors include Jun‐Juh Yan, Teh‐Lu Liao, Wei‐Der Chang, Her‐Terng Yau, Pi-Yun Chen, Chun‐Nan Chen, Sheng Hsiung Chang, Hsing-Ying Lin, Ikai Lo and Chen-Han Huang. Their work appears in journals such as Chaos Solitons & Fractals, Physics Letters A, Mechanical Systems and Signal Processing, Nonlinear Analysis and Applied Physics A.

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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