Chia‐Ping Lin

521 citations
15 papers · 422 · h-index 10

Impact in

Papers in

Chia‐Ping Lin

14 papers receiving 401 citations

Peers

Chia‐Ping Lin
Comparison fields: 5 of 75
  • Industrial and Manufacturing Engineering 144
  • Signal Processing 61
  • Building and Construction 69
  • Management Information Systems 34
  • Computer Vision and Pattern Recognition 76
Replace Markus Jung with:
Markus Jung Germany
Thomas Kamalakis Greece
Jac Romme Netherlands
Marco Franke Germany
Seungwoo Jeon South Korea
Zefeng Chen China
Hazem Raafat Kuwait
Saurabh Shukla India
James Benson United States
Chia‐Ping Lin relative to Markus Jung Germany Markus Jung's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chia‐Ping Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ping Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Ping Lin. 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 Chia‐Ping Lin. The network helps show where Chia‐Ping Lin may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011161
2 202065
3 201254
4 200740
5 200627
6 202117
7 201914
8 200410
9 202310
10
Age and Growth Estimates of the Blacktip Sawtail Catshark Galeus sauteri in Northeastern Waters of Taiwan
20119
11 20226
12 20054
13
Presenting solution strategies of fraction multiplication and division on mathematics instructional websites
20133
14 20171
15 20141

About Chia‐Ping Lin

Chia‐Ping Lin is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Building and Construction, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 15 papers that have together received 422 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (4 papers), Advanced Data Compression Techniques (4 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Urban and Freight Transport Logistics (2 papers), Optimization and Packing Problems (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper), Optical measurement and interference techniques (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (144 citations), Signal Processing (61 citations), Building and Construction (69 citations), Management Information Systems (34 citations) and Computer Vision and Pattern Recognition (76 citations). Chia‐Ping Lin has collaborated with scholars based in Taiwan and United States. Frequent co-authors include David M. Chiang, Mu‐Chen Chen, Guo-Dung J. Su, Mu‐Chen Chen, Po-Chih Tseng, Liang‐Gee Chen, Chung-Jr Lian, Shao‐Yi Chien, Hung-Chi Fang and Chih-Chi Cheng. Their work appears in journals such as Enterprise Information Systems, Optics Communications, IEEE Sensors Journal, Scientific Reports and IEEE Circuits and Systems Magazine.

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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