Ming-Long Yao

578 total citations
22 papers, 517 citations indexed

About

Ming-Long Yao is a scholar working on Fluid Flow and Transfer Processes, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Ming-Long Yao has authored 22 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Fluid Flow and Transfer Processes, 11 papers in Materials Chemistry and 10 papers in Organic Chemistry. Recurrent topics in Ming-Long Yao's work include Rheology and Fluid Dynamics Studies (15 papers), Surfactants and Colloidal Systems (10 papers) and Material Dynamics and Properties (9 papers). Ming-Long Yao is often cited by papers focused on Rheology and Fluid Dynamics Studies (15 papers), Surfactants and Colloidal Systems (10 papers) and Material Dynamics and Properties (9 papers). Ming-Long Yao collaborates with scholars based in Japan, China and Russia. Ming-Long Yao's co-authors include Hiroshi Watanabe, Kunihiro Osaki, Tomohiro Sato, Yotaro Morishima, Toshiyuki Shikata, Yumi Matsumiya, Tadashi Inoue, Hirofumi Yamada, Osamu Urakawa and Hao Wang and has published in prestigious journals such as Macromolecules, Green Chemistry and Macromolecular Rapid Communications.

In The Last Decade

Ming-Long Yao

22 papers receiving 503 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-Long Yao Japan 15 275 258 254 147 42 22 517
Y. Séréro France 8 190 0.7× 161 0.6× 211 0.8× 318 2.2× 61 1.5× 8 537
Hui Dai China 14 205 0.7× 192 0.7× 506 2.0× 181 1.2× 24 0.6× 26 600
Michael E. De Rosa United States 8 176 0.6× 171 0.7× 115 0.5× 56 0.4× 82 2.0× 16 411
J. Mewis Belgium 11 185 0.7× 125 0.5× 156 0.6× 92 0.6× 68 1.6× 13 444
Wenlin Zhang United States 14 122 0.4× 344 1.3× 265 1.0× 56 0.4× 96 2.3× 26 555
Michael A. Masse United States 11 81 0.3× 332 1.3× 132 0.5× 64 0.4× 75 1.8× 15 504
Deog Man Baek United States 11 199 0.7× 312 1.2× 339 1.3× 199 1.4× 16 0.4× 14 501
B. Ernst France 14 344 1.3× 358 1.4× 184 0.7× 154 1.0× 85 2.0× 20 722
Sudesh Kamath United States 11 124 0.5× 177 0.7× 253 1.0× 37 0.3× 55 1.3× 17 444
F. Cocchini Italy 12 167 0.6× 189 0.7× 90 0.4× 29 0.2× 35 0.8× 14 429

Countries citing papers authored by Ming-Long Yao

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Long Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Long Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Long Yao. A scholar is included among the top collaborators of Ming-Long Yao 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-Long Yao. Ming-Long Yao 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.
Lin, Zhiying, et al.. (2022). Study on the Correlation between Chinese Medicine Syndrome and Cognitive Dysfunction in Mild Cognitive Impairment. Evidence-based Complementary and Alternative Medicine. 2022. 1–6. 5 indexed citations
3.
Zhang, Lihua, Wentao Shi, Song Feng, et al.. (2021). Unique CO2-switched cellulose solution properties in the CO2/DBU/DMSO solvent system and the preparation of regenerated materials. Green Chemistry. 23(16). 5856–5865. 22 indexed citations
4.
Liu, Chenyang, et al.. (2011). Instrument compliance effects revisited: linear viscoelastic measurements. Rheologica Acta. 50(5-6). 537–546. 20 indexed citations
5.
Dai, Xinhua, Zhimin Liu, Buxing Han, et al.. (2002). Preparation of Poly(vinyl chloride)/Polystyrene Miscible Blends Using Supercritical CO2 as a Swelling Agent. Macromolecular Rapid Communications. 23(10-11). 626–626. 12 indexed citations
6.
Watanabe, Hiroshi, et al.. (1999). Nonlinear rheology of concentrated spherical silica suspensions: 3. Concentration dependence. Rheologica Acta. 38(1). 2–13. 21 indexed citations
7.
Watanabe, Hiroshi, et al.. (1999). Rheo-dielectric behavior of low molecular weight liquid crystal 2. Behavior of 8CB in nematic and smectic states. Rheologica Acta. 38(2). 100–107. 14 indexed citations
8.
Inoue, Tadashi, et al.. (1999). Viscoelasticity of low molecular weight polystyrene. Separation of rubbery and glassy components. Journal of Polymer Science Part B Polymer Physics. 37(4). 389–397. 33 indexed citations
9.
Watanabe, Hiroshi, Yumi Matsumiya, Kunihiro Osaki, & Ming-Long Yao. (1998). Dynamics of Dipole-Inverted cis-Polyisoprene Chains in a Matrix of Long, Entangling Chains. 2. Effects of Constraint Release on the Coherence of the Subchain Motion. Macromolecules. 31(21). 7538–7545. 19 indexed citations
10.
Watanabe, Hiroshi, et al.. (1998). Rheo-Dielectric behavior of low molecular weight liquid crystals.. Rheologica Acta. 37(6). 519–527. 17 indexed citations
11.
Matsumiya, Yumi, Hiroshi Watanabe, Kunihiro Osaki, & Ming-Long Yao. (1998). Dynamics of Dipole-Inverted cis-Polyisoprene Chains in a Matrix of Long, Entangling Chains. 1. Effects of Constraint Release on the Eigenmodes of the Local Correlation Function. Macromolecules. 31(21). 7528–7537. 13 indexed citations
12.
Watanabe, Hiroshi, Ming-Long Yao, Kunihiro Osaki, et al.. (1998). Nonlinear rheology and flow-induced structure in a concentrated spherical silica suspension. Rheologica Acta. 37(1). 1–6. 53 indexed citations
13.
Watanabe, Hiroshi, Kunihiro Osaki, Mutsuo Matsumoto, et al.. (1998). Nonlinear rheology for threadlike micelles of tetraethylammonium perfluorooctyl sulfonate. Rheologica Acta. 37(5). 470–485. 5 indexed citations
14.
Yao, Ming-Long, et al.. (1997). Nonlinear rheology of a concentrated spherical silica suspension: 2. Role of strain in shear-thickening. Rheologica Acta. 36(5). 524–533. 2 indexed citations
15.
16.
Watanabe, Hiroshi, et al.. (1997). Nonlinear rheology of a concentrated spherical silica suspension:. Rheologica Acta. 36(5). 524–533. 23 indexed citations
17.
Watanabe, Hiroshi, Ming-Long Yao, Tomohiro Sato, & Kunihiro Osaki. (1997). Non-Newtonian Flow Behavior of Diblock Copolymer Micelles:  Shear-Thinning in a Nonentangling Matrix. Macromolecules. 30(19). 5905–5912. 30 indexed citations
18.
Watanabe, Hiroshi, Osamu Urakawa, Hirofumi Yamada, & Ming-Long Yao. (1996). Dielectric Relaxation of cis-Polyisoprene Chains in Oligo- and Polybutadiene Matrices:  Matrix Effects on Mode Distribution and Relaxation Time. Macromolecules. 29(2). 755–763. 32 indexed citations
19.
Sato, Tomohiro, Hiroshi Watanabe, Kunihiro Osaki, & Ming-Long Yao. (1996). Relaxation of Spherical Micellar Systems of Styrene−Isoprene Diblock Copolymers. 1. Linear Viscoelastic and Dielectric Behavior. Macromolecules. 29(11). 3881–3889. 40 indexed citations
20.
Kotaka, Tadao, Ming-Long Yao, Hiroshi Watanabe, & Keiichiro Adachi. (1992). A Dielectric Study on Dynamics of Tethered Ciiains: Styrene-Isoprene Diblock Copolymers in Bulk and in Selective Solvent. Journal of Macromolecular Science Part A. 29(sup2). 163–171. 1 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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