Liming Miao

2.5k citations
60 papers · 2.0k · h-index 23

Impact in

Papers in

Liming Miao

56 papers receiving 1.9k citations

Peers

Liming Miao
Comparison fields: 5 of 100
  • Polymers and Plastics 937
  • Biomedical Engineering 1.6k
  • Cognitive Neuroscience 619
  • Electronic, Optical and Magnetic Materials 297
  • Human-Computer Interaction 58
Replace Feifan Sheng with:
Feifan Sheng China
Jia Yi China
Hang Guo China
Juan Tao China
Xian Fu China
Kyungsik Do South Korea
Yuyu Gao China
Zuqing Yuan China
Kyun Kyu Kim South Korea
Chwee‐Lin Choong South Korea
Liming Miao relative to Feifan Sheng China Feifan Sheng's profile →
Citations per field
00.5×10×15×22.1×
Feifan Sheng · 1×
Citations per year

Countries citing papers authored by Liming Miao

Since Specialization
Citations

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

Fields of papers citing papers by Liming Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liming Miao. 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 Liming Miao. The network helps show where Liming Miao may publish in the future.

Co-authors

The 25 scholars most cited alongside Liming Miao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Liming Miao Line = papers co-authored together Liming Miao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017281
2 2017183
3 2018139
4 2017127
5 2018113
6 2017100
7 2019100
8 201992
9 201874
10 202067
11 202058
12 201756
13 201753
14 201951
15 202145
16 202241
17 201637
18 201728
19 201728
20 201825

About Liming Miao

Liming Miao is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics, Plant Science and Molecular Biology, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (35 papers), Tactile and Sensory Interactions (20 papers), Conducting polymers and applications (18 papers), Plant Molecular Biology Research (8 papers), Advanced Materials and Mechanics (7 papers), Supercapacitor Materials and Fabrication (6 papers), Plant Gene Expression Analysis (4 papers) and Plant Stress Responses and Tolerance (4 papers). The work is most often cited by research in Polymers and Plastics (937 citations), Biomedical Engineering (1.6k citations), Cognitive Neuroscience (619 citations), Electronic, Optical and Magnetic Materials (297 citations) and Human-Computer Interaction (58 citations). Liming Miao has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Haixia Zhang, Yu Song, Haotian Chen, Xuexian Chen, Zongming Su, Xiaoliang Cheng, Hang Guo, Ji Wan, Jinxin Zhang and Mengdi Han. Their work appears in journals such as Nano Energy, Journal of Micromechanics and Microengineering, Applied Physics Letters, International Journal of Molecular Sciences and BMC Genomics.

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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