Ming-Long Yao
Impact in
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- Rheology and Fluid Dynamics Studies
- Polymers and Plastics top 5%
- Polymer crystallization and properties
- Polymer Nanocomposites and Properties
Papers in
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- Rheology and Fluid Dynamics Studies 15
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- Polymer Nanocomposites and Properties 7
- Polymer crystallization and properties 6
- Polymer Science and PVC 1
- Co-authors
- Kunihiro Osaki (15 shared papers)Hiroshi Watanabe (15 shared papers)Tomohiro Sato (6 shared papers)Yotaro Morishima (5 shared papers)Toshiyuki Shikata (4 shared papers)Osamu Urakawa (1 shared paper)Tadashi Inoue (1 shared paper)Hirofumi Yamada (1 shared paper)
In The Last Decade
Ming-Long Yao
21 papers receiving 526 citations
Peers
Comparison fields: 5 of 64
- Fluid Flow and Transfer Processes 287
- Polymers and Plastics 268
- Materials Chemistry 262
- Organic Chemistry 148
- Modeling and Simulation 14
Countries citing papers authored by Ming-Long Yao
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
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-authors
The 25 scholars most cited alongside Ming-Long Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 73 | |
| 2 | 1998 | 57 | |
| 3 | 1996 | 56 | |
| 4 | 1996 | 40 | |
| 5 | 1999 | 35 | |
| 6 | 1996 | 34 | |
| 7 | 1997 | 30 | |
| 8 | 1996 | 30 | |
| 9 | 2011 | 24 | |
| 10 | 1997 | 24 | |
| 11 | 2021 | 22 | |
| 12 | 1999 | 21 | |
| 13 | 1998 | 20 | |
| 14 | 1998 | 17 | |
| 15 | 1999 | 15 | |
| 16 | 1998 | 13 | |
| 17 | 2002 | 13 | |
| 18 | 2022 | 7 | |
| 19 | 1998 | 5 | |
| 20 | 1997 | 2 |
About Ming-Long Yao
Ming-Long Yao is a scholar working on Fluid Flow and Transfer Processes, Polymers and Plastics, Organic Chemistry, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 21 papers that have together received 539 indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (15 papers), Surfactants and Colloidal Systems (10 papers), Material Dynamics and Properties (9 papers), Polymer Nanocomposites and Properties (7 papers), Polymer crystallization and properties (6 papers), Liquid Crystal Research Advancements (2 papers), Block Copolymer Self-Assembly (2 papers) and Polymer Science and PVC (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (287 citations), Polymers and Plastics (268 citations), Materials Chemistry (262 citations), Organic Chemistry (148 citations) and Modeling and Simulation (14 citations). Ming-Long Yao has collaborated with scholars based in Japan, China and Russia. Frequent co-authors include Kunihiro Osaki, Hiroshi Watanabe, Tomohiro Sato, Yotaro Morishima, Toshiyuki Shikata, Osamu Urakawa, Tadashi Inoue, Hirofumi Yamada, Yumi Matsumiya and Nitash P. Balsara. Their work appears in journals such as Rheologica Acta, Macromolecules, Evidence-based Complementary and Alternative Medicine, Macromolecular Rapid Communications and Journal of Polymer Science Part B Polymer Physics.
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.