Chuan-Ming Liu

2.2k total citations
113 papers, 1.4k citations indexed

About

Chuan-Ming Liu is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Chuan-Ming Liu has authored 113 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Networks and Communications, 25 papers in Signal Processing and 23 papers in Artificial Intelligence. Recurrent topics in Chuan-Ming Liu's work include Data Management and Algorithms (23 papers), Caching and Content Delivery (18 papers) and Distributed systems and fault tolerance (12 papers). Chuan-Ming Liu is often cited by papers focused on Data Management and Algorithms (23 papers), Caching and Content Delivery (18 papers) and Distributed systems and fault tolerance (12 papers). Chuan-Ming Liu collaborates with scholars based in Taiwan, China and United States. Chuan-Ming Liu's 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 and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Expert Systems with Applications.

In The Last Decade

Chuan-Ming Liu

104 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chuan-Ming Liu Taiwan 17 472 236 192 184 162 113 1.4k
Sachchidanand Singh India 15 380 0.8× 118 0.5× 183 1.0× 81 0.4× 470 2.9× 33 1.3k
Muhammad Aslam Pakistan 22 327 0.7× 136 0.6× 269 1.4× 219 1.2× 91 0.6× 95 1.4k
Jun Feng China 17 209 0.4× 255 1.1× 444 2.3× 122 0.7× 160 1.0× 86 1.3k
Chuan Luo China 23 449 1.0× 147 0.6× 499 2.6× 59 0.3× 266 1.6× 100 1.6k
Azizah Abdul Manaf Malaysia 20 247 0.5× 118 0.5× 336 1.8× 164 0.9× 175 1.1× 81 1.8k
Kapil Sharma India 24 214 0.5× 141 0.6× 430 2.2× 308 1.7× 372 2.3× 165 1.8k
Maheshwari Prasad Singh India 18 336 0.7× 79 0.3× 268 1.4× 281 1.5× 100 0.6× 109 1.2k
Timothy Hunter United States 18 549 1.2× 299 1.3× 214 1.1× 60 0.3× 397 2.5× 27 1.6k
Steve Liang Canada 15 269 0.6× 80 0.3× 195 1.0× 62 0.3× 145 0.9× 43 1.3k
Hongwei Du China 21 978 2.1× 149 0.6× 128 0.7× 527 2.9× 88 0.5× 137 2.1k

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 of co-authors of Chuan-Ming Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chuan-Ming Liu. A scholar is included among the top collaborators of Chuan-Ming 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 Chuan-Ming Liu. Chuan-Ming 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
1.
Xie, Hai, Shaobin Chen, Guanghui Yue, et al.. (2025). BUT-Net: Boundary-Aware U-Net structure with Two-Path Transformers for lesion segmentation in mCNV using OCT images. Expert Systems with Applications. 297. 129405–129405.
2.
Liu, Chuan-Ming, et al.. (2025). Detection of surface defects in soybean seeds based on improved Yolov9. Scientific Reports. 15(1). 12631–12631. 4 indexed citations
3.
Lo, Lun‐Jou, et al.. (2024). Quantification of facial symmetry in orthognathic surgery: A novel approach integrating 3D contour maps and hyper-dimensional computing. Computers in Biology and Medicine. 183. 109189–109189. 1 indexed citations
4.
Yang, Peng, Shuqiang Wang, Xiaohua Xiao, et al.. (2024). 3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer’s Disease Diagnosis. IEEE Transactions on Medical Imaging. 43(9). 3161–3175. 22 indexed citations
5.
Yang, Peng, Jiaqiang Li, Xiaohua Xiao, et al.. (2024). Multi-scale 3D Convolutional LSTM for Longitudinal Alzheimer's Disease Identification. 1–5. 1 indexed citations
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Kumaravel, Sakthivel, B. Subash, Govindasami Periyasami, et al.. (2024). Facile synthesis of Co-doped In2O3 integrated with tubular g-C3N4 heterostructure and their synergistic effect on the enhanced photocatalytic degradation of tetracycline and oxygen evolution reaction. Colloids and Surfaces A Physicochemical and Engineering Aspects. 703. 135340–135340. 1 indexed citations
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11.
Liu, Chuan-Ming, et al.. (2023). Distributed Indexing Schemes for K-Dominant Skyline Analytics on Uncertain Edge-IoT Data. IEEE Transactions on Emerging Topics in Computing. 12(3). 878–890.
12.
Chen, Der‐Yuan, Chuan-Ming Liu, Tsu‐Man Chiu, et al.. (2023). Effect of the Functional VP1 Unique Region of Human Parvovirus B19 in Causing Skin Fibrosis of Systemic Sclerosis. International Journal of Molecular Sciences. 24(20). 15294–15294. 5 indexed citations
13.
Lei, Baiying, Peng Yang, Feng Zhou, et al.. (2021). Predicting clinical scores for Alzheimer’s disease based on joint and deep learning. Expert Systems with Applications. 187. 115966–115966. 56 indexed citations
14.
Tanwar, Poonam, et al.. (2020). Big Data Analytics and Intelligence: A Perspective for Health Care. 3 indexed citations
15.
Liu, Chuan-Ming, et al.. (2020). Unconstrained Bilingual Scene Text Reading Using Octave as a Feature Extractor. Applied Sciences. 10(13). 4474–4474. 2 indexed citations
16.
Lee, Tian‐Fu & Chuan-Ming Liu. (2013). A Secure Smart-Card Based Authentication and Key Agreement Scheme for Telecare Medicine Information Systems. Journal of Medical Systems. 37(3). 9933–9933. 39 indexed citations
17.
Zhao, Jing, et al.. (2011). [In vivo identification of radix panacis quinquefolii by spectral imaging technology].. PubMed. 31(1). 210–3. 2 indexed citations
18.
Liu, Chuan-Ming, et al.. (2006). Schedules with minimized access latency for disseminating dependent information on multiple channels. 1. 344–351. 3 indexed citations
19.
Wang, Li‐Chun, Chung‐Wei Wang, & Chuan-Ming Liu. (2006). Adaptive contention window-based cluster head election mechanisms for wireless sensor networks. 3. 1819–1823. 7 indexed citations
20.
Liu, Chuan-Ming, et al.. (2005). Distributed Algorithms for Energy-Efficient Cluster-head Election in Wireless Mobile Sensor Networks.. 54(3). 405–411. 8 indexed citations

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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