Ming-Lee Chu

485 total citations
23 papers, 353 citations indexed

About

Ming-Lee Chu is a scholar working on Spectroscopy, Computational Mechanics and Nuclear and High Energy Physics. According to data from OpenAlex, Ming-Lee Chu has authored 23 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Spectroscopy, 6 papers in Computational Mechanics and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Ming-Lee Chu's work include Mass Spectrometry Techniques and Applications (12 papers), Ion-surface interactions and analysis (6 papers) and Analytical Chemistry and Chromatography (4 papers). Ming-Lee Chu is often cited by papers focused on Mass Spectrometry Techniques and Applications (12 papers), Ion-surface interactions and analysis (6 papers) and Analytical Chemistry and Chromatography (4 papers). Ming-Lee Chu collaborates with scholars based in Taiwan, Japan and United States. Ming-Lee Chu's co-authors include Chung‐Hsuan Chen, Huan‐Cheng Chang, Alice L. Yu, Huan‐Chang Lin, Hsin‐Hung Lin, Wen‐Ping Peng, Tai-huang Huang, Chia‐Fu Chou, Zongxiu Nie and Chi‐Fon Chang and has published in prestigious journals such as Angewandte Chemie International Edition, Nano Letters and Analytical Chemistry.

In The Last Decade

Ming-Lee Chu

22 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Lee Chu Taiwan 11 213 114 86 58 40 23 353
William D. Hoffmann United States 11 211 1.0× 53 0.5× 59 0.7× 92 1.6× 45 1.1× 20 398
D. A. Laude United States 12 247 1.2× 52 0.5× 86 1.0× 78 1.3× 12 0.3× 20 361
Charles W. Wilkerson United States 12 156 0.7× 160 1.4× 11 0.1× 80 1.4× 45 1.1× 21 453
S. Sreedhar India 11 118 0.6× 132 1.2× 75 0.9× 18 0.3× 28 0.7× 23 562
Joost B. Buijs Netherlands 11 119 0.6× 132 1.2× 9 0.1× 99 1.7× 42 1.1× 17 380
C. H. Chen United States 20 569 2.7× 155 1.4× 140 1.6× 270 4.7× 38 0.9× 29 795
Robert B. Bilhorn United States 9 132 0.6× 137 1.2× 12 0.1× 17 0.3× 88 2.2× 19 405
Stefan Kesselheim Germany 9 28 0.1× 98 0.9× 27 0.3× 65 1.1× 36 0.9× 18 233
Taeman Kim United States 8 535 2.5× 223 2.0× 114 1.3× 84 1.4× 109 2.7× 11 598
Patrick M. Epperson United States 7 126 0.6× 151 1.3× 13 0.2× 16 0.3× 97 2.4× 11 393

Countries citing papers authored by Ming-Lee Chu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Lee Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Lee Chu. A scholar is included among the top collaborators of Ming-Lee Chu 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 Ming-Lee Chu. Ming-Lee Chu 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.
Sako, H., K. Aoki, W. C. Chang, et al.. (2024). Experimental studies of in-medium modification of ϕ meson mass through ϕ→K+K− decays. 1-2. 100012–100012.
2.
Chang, W. C., Ming-Lee Chu, C.-Y. Hsieh, et al.. (2023). Development of a precise time and position resolution TOF-tracker MRPC for the π20 beam line at J-PARC. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1056. 168580–168580. 2 indexed citations
3.
Li, Siyu, Shibani Bhattacharya, Ming-Lee Chu, et al.. (2023). LC-Photo-CIDNP hyperpolarization of biomolecules bearing a quasi-isolated spin pair: Magnetic-Field dependence via a rapid-shuttling device. Journal of Magnetic Resonance. 359. 107616–107616. 1 indexed citations
4.
Chu, Ming-Lee, et al.. (2021). Time-Evolved SERS Signatures of DEP-Trapped Aβ and Zn2+Aβ Peptides Revealed by a Sub-10 nm Electrode Nanogap. Analytical Chemistry. 93(49). 16320–16329. 12 indexed citations
5.
Nemallapudi, Mythra Varun, et al.. (2021). Positron Emitter Depth Distribution in PMMA Irradiated With 130-MeV Protons Measured Using TOF-PET Detectors. IEEE Transactions on Radiation and Plasma Medical Sciences. 6(3). 345–354. 4 indexed citations
6.
Chu, Ming-Lee, et al.. (2020). A portable multiple ionization source biological mass spectrometer. The Analyst. 145(10). 3495–3504. 10 indexed citations
7.
Abdesselem, Mouna, Cédric Bouzigues, Ming-Lee Chu, et al.. (2017). Ultra-wide range field-dependent measurements of the relaxivity of Gd1−xEuxVO4 nanoparticle contrast agents using a mechanical sample-shuttling relaxometer. Scientific Reports. 7(1). 44770–44770. 22 indexed citations
8.
Chu, Ming-Lee, et al.. (2016). High Mass Ion Detection with Charge Detector Coupled to Rectilinear Ion Trap Mass Spectrometer. Journal of the American Society for Mass Spectrometry. 28(6). 1066–1078. 9 indexed citations
9.
Chu, Ming-Lee, et al.. (2016). High sensitivity high-resolution full range relaxometry using a fast mechanical sample shuttling device and a cryo-probe. Journal of Biomolecular NMR. 66(3). 187–194. 7 indexed citations
10.
11.
Liao, Kuo‐Tang, et al.. (2014). Tandem array of nanoelectronic readers embedded coplanar to a fluidic nanochannel for correlated single biopolymer analysis. Biomicrofluidics. 8(1). 16501–16501. 7 indexed citations
12.
Chu, Ming-Lee, et al.. (2013). Biomolecular dual-ion-trap mass analyzer. The Analyst. 138(17). 4823–4823. 4 indexed citations
13.
Chu, Ming-Lee, et al.. (2013). Macromolecular ion accelerator mass spectrometer. The Analyst. 138(24). 7384–7384. 2 indexed citations
14.
Lai, Szu‐Hsueh, et al.. (2012). Macromolecular Ion Accelerator. Analytical Chemistry. 84(13). 5765–5769. 4 indexed citations
15.
Chu, Ming-Lee, et al.. (2011). A compact high-speed mechanical sample shuttle for field-dependent high-resolution solution NMR. Journal of Magnetic Resonance. 214(1). 302–308. 26 indexed citations
16.
Chen, Chien‐Hsun, et al.. (2010). MALDI Ion Trap Mass Spectrometer with Charge Detector for Large Biomolecule Detection. Analytical Chemistry. 82(24). 10125–10128. 20 indexed citations
17.
Peng, Wen‐Ping, Huan‐Chang Lin, Ming-Lee Chu, et al.. (2008). Charge Monitoring Cell Mass Spectrometry. Analytical Chemistry. 80(7). 2524–2530. 47 indexed citations
18.
Peng, Wen‐Ping, Huan‐Chang Lin, Hsin‐Hung Lin, et al.. (2007). Charge‐Monitoring Laser‐Induced Acoustic Desorption Mass Spectrometry for Cell and Microparticle Mass Distribution Measurement. Angewandte Chemie International Edition. 46(21). 3865–3869. 57 indexed citations
19.
Peng, Wen‐Ping, Huan‐Chang Lin, Hsin‐Hung Lin, et al.. (2007). Charge‐Monitoring Laser‐Induced Acoustic Desorption Mass Spectrometry for Cell and Microparticle Mass Distribution Measurement. Angewandte Chemie. 119(21). 3939–3943. 10 indexed citations
20.
Nie, Zongxiu, et al.. (2007). Calibration of a frequency-scan quadrupole ion trap mass spectrometer for microparticle mass analysis. International Journal of Mass Spectrometry. 270(1-2). 8–15. 30 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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