Ching-Hung Wang

804 citations
23 papers · 621 · h-index 11

Impact in

Papers in

Ching-Hung Wang

21 papers receiving 590 citations

Peers

Ching-Hung Wang
Comparison fields: 5 of 71
  • Artificial Intelligence 264
  • Computational Theory and Mathematics 117
  • Information Systems 130
  • Electrical and Electronic Engineering 203
  • Transportation 20
Replace Mohuya Chakraborty with:
Mohuya Chakraborty India
Ho-Sung Park South Korea
Zhiyong Hong China
Junhua Gu China
Tuve Löfström Sweden
Fengqin Yang China
Fangwei Zhang China
Dana Simian Romania
Noor Aldeen Alawad Jordan
Ching-Hung Wang relative to Mohuya Chakraborty India Mohuya Chakraborty's profile →
Citations per field
00.5×2×2.7×
Mohuya Chakraborty · 1×
Citations per year

Countries citing papers authored by Ching-Hung Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Hung Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Ching-Hung Wang, 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 Ching-Hung Wang Line = papers co-authored together Ching-Hung Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014140
2 1998133
3 199959
4 200054
5 200850
6 200136
7 199828
8 200427
9 200219
10 201218
11 201513
12
Design of a Self-Adaptive Brain Tumor Diagnostic System.
199510
13 20039
14 20019
15 19966
16 20023
17 20153
18 20021
19 20061
20 20021

About Ching-Hung Wang

Ching-Hung Wang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Information Systems, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 23 papers that have together received 621 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (9 papers), Rough Sets and Fuzzy Logic (8 papers), Data Mining Algorithms and Applications (7 papers), Millimeter-Wave Propagation and Modeling (3 papers), Microwave Engineering and Waveguides (3 papers), Evolutionary Algorithms and Applications (2 papers), Neural Networks and Applications (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (264 citations), Computational Theory and Mathematics (117 citations), Information Systems (130 citations), Electrical and Electronic Engineering (203 citations) and Transportation (20 citations). Ching-Hung Wang has collaborated with scholars based in Taiwan and Canada. Frequent co-authors include Tzung-Pei Hong, Shian‐Shyong Tseng, Yuan-Hao Huang, Wei-Hsun Lee, Chun‐Hong Chen, Hau‐Ren Chen, Soo-Chen Cheng, Bor-Shenn Jeng, Kuei‐Ping Shih and Yen‐Da Chen. Their work appears in journals such as Fuzzy Sets and Systems, IEEE Transactions on Signal Processing, Journal of Biological Chemistry, Expert Systems with Applications and Computer Communications.

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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