Chia-Ming Lee

661 total citations
21 papers, 448 citations indexed

About

Chia-Ming Lee is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Molecular Biology. According to data from OpenAlex, Chia-Ming Lee has authored 21 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Biophysics and 3 papers in Molecular Biology. Recurrent topics in Chia-Ming Lee's work include Advanced Fluorescence Microscopy Techniques (4 papers), GaN-based semiconductor devices and materials (2 papers) and Advanced Image Fusion Techniques (2 papers). Chia-Ming Lee is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (4 papers), GaN-based semiconductor devices and materials (2 papers) and Advanced Image Fusion Techniques (2 papers). Chia-Ming Lee collaborates with scholars based in Taiwan, United States and Japan. Chia-Ming Lee's co-authors include K. T. Lu, Jen‐Inn Chyi, Chih–Chung Hsu, Bi‐Chang Chen, K. Saravanakumar, Kung‐Jeng Ma, Guanlin Chen, Bih‐Show Lou, Chun‐Kuei Su and Chou‐Long Huang and has published in prestigious journals such as Nature Communications, IEEE Transactions on Geoscience and Remote Sensing and Lab on a Chip.

In The Last Decade

Chia-Ming Lee

18 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia-Ming Lee Taiwan 8 334 88 52 46 38 21 448
Abdollah Malakzadeh Iran 9 401 1.2× 145 1.6× 24 0.5× 113 2.5× 25 0.7× 19 490
M. M. Murnane United States 8 342 1.0× 45 0.5× 88 1.7× 93 2.0× 22 0.6× 31 443
Zenghu Chang United States 9 678 2.0× 212 2.4× 25 0.5× 110 2.4× 21 0.6× 18 727
Joan Dreiling United States 10 281 0.8× 47 0.5× 30 0.6× 35 0.8× 14 0.4× 31 369
Γαβριήλ Καρράς France 15 461 1.4× 258 2.9× 69 1.3× 71 1.5× 61 1.6× 46 607
Stephanie Manz Austria 12 461 1.4× 31 0.4× 10 0.2× 59 1.3× 40 1.1× 13 570
Jialin Li China 10 327 1.0× 86 1.0× 20 0.4× 116 2.5× 79 2.1× 33 451
Lamia Kasmi Switzerland 10 460 1.4× 109 1.2× 29 0.6× 123 2.7× 50 1.3× 14 524
Seunghwoi Han South Korea 12 636 1.9× 96 1.1× 33 0.6× 198 4.3× 22 0.6× 29 721
Florian Siegrist Germany 5 474 1.4× 101 1.1× 13 0.3× 133 2.9× 50 1.3× 7 512

Countries citing papers authored by Chia-Ming Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Ming Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia-Ming Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Ming Lee. A scholar is included among the top collaborators of Chia-Ming Lee 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 Chia-Ming Lee. Chia-Ming Lee 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.
2.
Hsu, Chih–Chung, et al.. (2024). Revisiting Vision-Language Features Adaptation and Inconsistency for Social Media Popularity Prediction. 11464–11469. 1 indexed citations
3.
Tian, Xuejiao, Tzu‐Yang Lin, Po Ting Lin, et al.. (2024). Rapid lightsheet fluorescence imaging of whole Drosophila brains at nanoscale resolution by potassium acrylate-based expansion microscopy. Nature Communications. 15(1). 10911–10911. 4 indexed citations
4.
5.
Hsu, Chih–Chung, et al.. (2024). Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 5 indexed citations
6.
Lee, Chia-Ming, et al.. (2023). Optimizing Scanning Bessel Beam Light Sheet Microscopy with Custom-designed Lens Cap for Expansion Microscopy. Microscopy and Microanalysis. 29(Supplement_1). 1004–1004.
7.
Hsu, Chih–Chung, et al.. (2023). Bag of Tricks of Hybrid Network for Covid-19 Detection of CT Scans. 12. 1–4. 3 indexed citations
8.
9.
Hsu, Chih–Chung, et al.. (2023). Gradient Boost Tree Network based on Extensive Feature Analysis for Popularity Prediction of Social Posts. 9451–9455. 9 indexed citations
10.
Lee, Chia-Ming, C. H. Tsao, Peilin Chen, et al.. (2021). Macro photography with Lighsheet Illumination Enables Whole Expanded Brain Imaging with Single-cell Resolution. PubMed. 9(3). e133–e133. 5 indexed citations
11.
Lee, Chia-Ming, I‐Shing Yu, Yi‐Fen Lo, et al.. (2021). Impairment in renal medulla development underlies salt wasting in Clc-k2 channel deficiency. JCI Insight. 6(20). 10 indexed citations
12.
Fan, Yu‐Jui, Han‐Yun Hsieh, C. H. Tsao, et al.. (2021). Development of a water refractive index-matched microneedle integrated into a light sheet microscopy system for continuous embryonic cell imaging. Lab on a Chip. 22(3). 584–591. 3 indexed citations
13.
Lee, Chia-Ming, et al.. (2018). A digital data hiding scheme based on pixel-value differencing and side match method. Multimedia Tools and Applications. 78(9). 12157–12181. 22 indexed citations
14.
Karthik, Raj, K. Saravanakumar, Shen‐Ming Chen, et al.. (2017). Eco-friendly Synthesis of Gold Nanoparticles by Using B. javanica Blume Leaves Extract Encapsulated with Graphene Oxide for Selective Electrochemical Detection of Dopamine. International Journal of Electrochemical Science. 12(2). 1474–1491. 9 indexed citations
15.
Su, Chun‐Kuei, et al.. (2013). Computational solution of spike overlapping using data-based subtraction algorithms to resolve synchronous sympathetic nerve discharge. Frontiers in Computational Neuroscience. 7. 149–149. 8 indexed citations
16.
Lee, Chia-Ming, et al.. (2012). Iterative Chinese Bi-gram Term Extraction Using Machine-learning Classification Approach. 95–108. 1 indexed citations
17.
Lee, Chia-Ming, et al.. (2009). Information Objects Encapsulating Multimedia and Intelligence. 993–997. 2 indexed citations
18.
Chyi, Jen‐Inn, et al.. (2008). Light Output Enhancement of InGaN Light-Emitting Diodes Grown on Masklessly Etched Sapphire Substrates. IEEE Photonics Technology Letters. 20(19). 1621–1623. 28 indexed citations
19.
Cheng, Yung‐Chen, Chi-Chih Liao, Shih‐Wei Feng, et al.. (2001). Laser-Induced Activation of p-Type GaN with the Second Harmonics of a Nd:YAG Laser. Japanese Journal of Applied Physics. 40(4R). 2143–2143. 11 indexed citations
20.
Lee, Chia-Ming & K. T. Lu. (1973). Spectroscopy and Collision Theory. II. The Ar Absorption Spectrum. Physical review. A, General physics. 8(3). 1241–1257. 325 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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