Chung-Ping Young

47 papers receiving 654 citations

Peers

Chung-Ping Young
Comparison fields: 5 of 102
  • Developmental Neuroscience 66
  • Pediatrics, Perinatology and Child Health 153
  • Cognitive Neuroscience 109
  • Transportation 39
  • Automotive Engineering 61
Replace Yuichi Tazaki with:
Yuichi Tazaki Japan
Yusuke Tanaka Japan
Toshitaka Yamakawa Japan
Takashi Okuma Japan
Jianjun Wang China
Yuxiu Sui China
Chenxing Liu China
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Daniel Holden United States
Kai Xie China
Chung-Ping Young relative to Yuichi Tazaki Japan Yuichi Tazaki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chung-Ping Young

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Ping Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung-Ping Young. 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 Chung-Ping Young. The network helps show where Chung-Ping Young may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004255
2 200963
3 201056
4 201649
5 200025
6
SELF-OPTIMIZING TRAFFIC SIGNAL CONTROL USING MICROPROCESSORS: THE TRRL "MOVA" STRATEGY FOR ISOLATED INTERSECTIONS
198622
7 201219
8 199816
9 201114
10
A RELATIONSHIP BETWEEN VEHICLE DETECTOR OCCUPANCY AND DELAY AT SIGNAL-CONTROLLED JUNCTIONS
198813
11 200113
12 200812
13 201410
14 200910
15 20078
16 20088
17 20097
18 20086
19 20085
20 20034

About Chung-Ping Young

Chung-Ping Young is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Biomedical Engineering, Cognitive Neuroscience and Artificial Intelligence, having authored 51 papers that have together received 678 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Autonomous Vehicle Technology and Safety (6 papers), Interconnection Networks and Systems (6 papers), Neuroscience and Neural Engineering (5 papers), Traffic Prediction and Management Techniques (5 papers), Neural Networks and Applications (5 papers), Analog and Mixed-Signal Circuit Design (5 papers) and Vehicular Ad Hoc Networks (VANETs) (4 papers). The work is most often cited by research in Developmental Neuroscience (66 citations), Pediatrics, Perinatology and Child Health (153 citations), Cognitive Neuroscience (109 citations), Transportation (39 citations) and Automotive Engineering (61 citations). Chung-Ping Young has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Bao Rong Chang, Sherri K. Vogt, David F. Wozniak, M BOYLE, Louis J. Muglia, Richard E. Hartman, John W. Olney, Andy Brooks, Tatyana Tenkova and M.J. Devaney. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Expert Systems with Applications, Neurobiology of Disease, IEEE Transactions on Biomedical Engineering and IEEE Signal Processing 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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