Chuan-Ming Liu

2.2k citations
113 papers · 1.4k indexed · h-index 17

Chuan-Ming Liu

104 papers receiving 1.3k citations

Peers

Chuan-Ming Liu
Comparison fields: 5 of 138
  • Computer Networks and Communications 472
  • Water Science and Technology 236
  • Signal Processing 120
  • Geochemistry and Petrology 62
  • Management Science and Operations Research 116
Replace Sachchidanand Singh with:
Sachchidanand Singh India
K R Venugopal India
Sudeshna Sarkar India
Chuan Luo China
Jin Liu China
Muhammad Aslam Pakistan
Azizah Abdul Manaf Malaysia
Ramkumar Thirunavukarasu India
Xiaogang Ma United States
Chuan-Ming Liu relative to Sachchidanand Singh India Sachchidanand Singh's profile →
Citations per field
00.5×3.6×
Sachchidanand Singh · 1×
Citations per year

Countries citing papers authored by Chuan-Ming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chuan-Ming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20241
4 202422
5 20241
6 20243
7 20240
8 20240
9 20241
10 20240
11 20230
12 20235
13 202156
14 20203
15 20202
16 201339
17
[In vivo identification of radix panacis quinquefolii by spectral imaging technology].
20112
18 20063
19 20067
20 20058

About Chuan-Ming Liu

Chuan-Ming Liu is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 113 papers that have together received 1.4k indexed citations. Recurring topics across this work include Data Management and Algorithms (23 papers), Caching and Content Delivery (18 papers), Distributed systems and fault tolerance (12 papers), Opportunistic and Delay-Tolerant Networks (11 papers), Energy Efficient Wireless Sensor Networks (11 papers), Advanced Database Systems and Queries (8 papers), Peer-to-Peer Network Technologies (7 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Computer Networks and Communications (472 citations), Water Science and Technology (236 citations) and Signal Processing (120 citations). Chuan-Ming Liu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Li‐Chun Wang, Bin He, Guishan Yang, Daniel Nover, Wen Chen, Weili Duan, Tian‐Fu Lee, Chung‐Wei Wang, Shan Zou and Jing‐Li Fan. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Expert Systems with Applications.

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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