Rich Liu

1.1k citations
59 papers · 866 indexed · h-index 17
Topics
Semiconductor materials and devices (54 papers)Advancements in Semiconductor Devices and Circuit Design (33 papers)Advanced Memory and Neural Computing (17 papers)
Partner nations
TaiwanUnited Kingdom

In The Last Decade

Rich Liu

58 papers receiving 828 citations

Peers

Rich Liu
Comparison fields: 5 of 33
  • Electrical and Electronic Engineering 803
  • Materials Chemistry 257
  • Computer Networks and Communications 182
  • Biomedical Engineering 72
  • Polymers and Plastics 44
Replace Pei-Ying Du with:
Pei-Ying Du Taiwan
Yen-Hao Shih Taiwan
Chilhee Chung South Korea
G. Atwood United States
P. Cappelletti Italy
Kuang-Yeu Hsieh Taiwan
Jungdal Choi South Korea
Jixuan Wu China
K. Yahashi Japan
Kyung‐Chang Ryoo South Korea
Rich Liu relative to Pei-Ying Du Taiwan Pei-Ying Du's profile →
Citations per field
00.5×1.5×1.8×
Pei-Ying Du · 1×
Citations per year

Countries citing papers authored by Rich Liu

Since Specialization
Citations

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

Fields of papers citing papers by Rich Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rich Liu. 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 Rich Liu. The network helps show where Rich Liu may publish in the future.

Co-authorship network of co-authors of Rich Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Rich Liu. A scholar is included among the top collaborators of Rich Liu 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 Rich Liu. Rich Liu 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 7
2 1
3 22
4 20
5 5
6 14
7 14
8 2
9 9
10 44
11 23
12 133
13 34
14 8
15 11
16 14
17 49
18 15
19 1
20 24

About Rich Liu

Rich Liu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Materials Chemistry, having authored 59 papers that have together received 866 indexed citations. Recurring topics across this work include Semiconductor materials and devices (54 papers), Advancements in Semiconductor Devices and Circuit Design (33 papers) and Advanced Memory and Neural Computing (17 papers). The work is most often cited by research in Electrical and Electronic Engineering (803 citations), Computer Networks and Communications (182 citations) and Materials Chemistry (257 citations). Rich Liu has collaborated with scholars based in Taiwan and United Kingdom. Frequent co-authors include Kuang-Yeu Hsieh, Chih‐Yuan Lu, Hang-Ting Lue, Erh-Kun Lai, Szu-Yu Wang, Chih-Yuan Lu, Tzu‐Hsuan Hsu, Yi‐Hsuan Hsiao, Tahone Yang and Kuang‐Chao Chen. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and IEEE Transactions on Electron Devices.

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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