Ying-ping Chen

1.3k citations
79 papers · 790 indexed · h-index 14

Impact in

Papers in

Ying-ping Chen

69 papers receiving 754 citations

Peers

Ying-ping Chen
Comparison fields: 5 of 102
  • Computational Theory and Mathematics 172
  • Artificial Intelligence 325
  • Pediatrics, Perinatology and Child Health 157
  • Computer Networks and Communications 133
  • Infectious Diseases 93
Replace Hüseyin Şeker with:
Hüseyin Şeker United Kingdom
Julian Webber Japan
Mohammed Abdullahi Nigeria
Zhimin Li China
Dan Ionescu Canada
Shih‐Cheng Horng Taiwan
M. Dehghan Iran
Susan Rea Ireland
Wei Ju China
Masood Ahmad Pakistan
Ying-ping Chen relative to Hüseyin Şeker United Kingdom Hüseyin Şeker's profile →
Citations per field
00.5×11.6×
Hüseyin Şeker · 1×
Citations per year

Countries citing papers authored by Ying-ping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying-ping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ying-ping Chen, 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 Ying-ping Chen Line = papers co-authored together Ying-ping Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007138
2 201769
3 201039
4 201138
5 201137
6 201735
7 201024
8 201923
9 200922
10 201120
11 201018
12 201015
13 201814
14 200514
15 202111
16 200611
17 200611
18 202210
19 202010
20 201110

About Ying-ping Chen

Ying-ping Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Electrical and Electronic Engineering and Pediatrics, Perinatology and Child Health, having authored 79 papers that have together received 790 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (24 papers), Evolutionary Algorithms and Applications (21 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), Prenatal Screening and Diagnostics (9 papers), Error Correcting Code Techniques (6 papers), Advanced Wireless Communication Techniques (6 papers), Music Technology and Sound Studies (5 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Computational Theory and Mathematics (172 citations), Artificial Intelligence (325 citations), Pediatrics, Perinatology and Child Health (157 citations), Computer Networks and Communications (133 citations) and Infectious Diseases (93 citations). Ying-ping Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Wen-Chih Peng, Pei Jiang, Bin Yu, Qin Zhou, Fang−Yie Leu, Bin Zhang, Ming‐Chang Lee, Xiaoqing Zhang, John K. Zao and David E. Goldberg. Their work appears in journals such as Evolutionary Computation, Vaccine, Theoretical Computer Science, International Journal of Systems Science and IEEE Geoscience and Remote Sensing Letters.

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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