Ying‐Ren Chien

1.5k citations
76 papers · 889 indexed · h-index 17
Topics
Advanced Adaptive Filtering Techniques (23 papers)Speech and Audio Processing (20 papers)Power Line Communications and Noise (13 papers)
Partner nations
TaiwanChinaGermany

In The Last Decade

Ying‐Ren Chien

70 papers receiving 860 citations

Peers

Ying‐Ren Chien
Comparison fields: 5 of 84
  • Electrical and Electronic Engineering 406
  • Aerospace Engineering 236
  • Signal Processing 201
  • Computational Mechanics 191
  • Control and Systems Engineering 141
Replace Onkar Dabeer with:
Onkar Dabeer India
Jung Min Pak South Korea
Alfredo Gardel Spain
Yuan Xu China
Seung-Hyun Kong South Korea
Fuxi Wen China
David Mascareñas United States
Ossi Kaltiokallio Finland
Fei Xie China
Rendong Ying China
Ying‐Ren Chien relative to Onkar Dabeer India Onkar Dabeer's profile →
Citations per field
00.5×3.9×
Onkar Dabeer · 1×
Citations per year

Countries citing papers authored by Ying‐Ren Chien

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Ren Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Ren Chien. 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‐Ren Chien. The network helps show where Ying‐Ren Chien may publish in the future.

Co-authorship network of co-authors of Ying‐Ren Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Ren Chien. A scholar is included among the top collaborators of Ying‐Ren Chien based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying‐Ren Chien. Ying‐Ren Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
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8 1
9 40
10 1
11 5
12 13
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14 24
15 23
16 10
17 60
18
UNAMBIGUOUS GALILEO ACQUISITION USING BINARY PHASE-SHIFT KEYING-LIKE PARALLEL SHIFT-AND-COMBINE METHOD
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About Ying‐Ren Chien

Ying‐Ren Chien is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 889 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (23 papers), Speech and Audio Processing (20 papers) and Power Line Communications and Noise (13 papers). The work is most often cited by research in Signal Processing (201 citations), Aerospace Engineering (236 citations) and Computational Mechanics (191 citations). Ying‐Ren Chien has collaborated with scholars based in Taiwan, China and Germany. Frequent co-authors include Hen‐Wai Tsao, Shih‐Hau Fang, Zhezhuang Xu, Chengxi Yu, Kun Yan, Hsiao‐Chun Wu, Po‐Yu Chen, Sendren Sheng‐Dong Xu, Lei Zhang and Jing Bai. Their work appears in journals such as IEEE Access, Sensors and Information Sciences.

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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