Liming Miao

2.5k total citations
60 papers, 2.0k citations indexed

About

Liming Miao is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Polymers and Plastics. According to data from OpenAlex, Liming Miao has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 20 papers in Cognitive Neuroscience and 18 papers in Polymers and Plastics. Recurrent topics in Liming Miao's work include Advanced Sensor and Energy Harvesting Materials (35 papers), Tactile and Sensory Interactions (20 papers) and Conducting polymers and applications (18 papers). Liming Miao is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (35 papers), Tactile and Sensory Interactions (20 papers) and Conducting polymers and applications (18 papers). Liming Miao collaborates with scholars based in China, United States and Switzerland. Liming Miao's co-authors include Haixia Zhang, Yu Song, Haotian Chen, Xuexian Chen, Zongming Su, Xiaoliang Cheng, Hang Guo, Ji Wan, Jinxin Zhang and Mengdi Han and has published in prestigious journals such as Advanced Materials, ACS Nano and Applied Physics Letters.

In The Last Decade

Liming Miao

56 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liming Miao China 23 1.6k 937 619 397 324 60 2.0k
Xuelian Wei China 29 2.0k 1.3× 1.3k 1.4× 477 0.8× 563 1.4× 680 2.1× 55 2.8k
Hye Jin Hwang South Korea 10 1.4k 0.8× 602 0.6× 313 0.5× 493 1.2× 195 0.6× 13 1.9k
Young‐Jin Kim South Korea 17 1.2k 0.7× 594 0.6× 319 0.5× 538 1.4× 220 0.7× 68 2.0k
Henrik Andersson Sweden 24 944 0.6× 503 0.5× 179 0.3× 531 1.3× 205 0.6× 85 1.8k
Pengcheng Zhu China 24 1.4k 0.8× 624 0.7× 433 0.7× 501 1.3× 395 1.2× 62 2.3k
Giwon Lee South Korea 19 2.0k 1.2× 795 0.8× 805 1.3× 972 2.4× 253 0.8× 70 2.6k
Jinlong Wang China 26 1.9k 1.2× 1.1k 1.1× 352 0.6× 426 1.1× 269 0.8× 56 2.4k
Weichen Wang China 17 2.4k 1.5× 1.5k 1.6× 544 0.9× 1.5k 3.7× 365 1.1× 47 3.3k
Xian Fu China 25 1.5k 0.9× 924 1.0× 479 0.8× 385 1.0× 529 1.6× 64 1.8k
Yuyao Lu China 21 2.0k 1.2× 597 0.6× 544 0.9× 1.1k 2.7× 224 0.7× 57 2.8k

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-authorship network of co-authors of Liming Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Liming Miao. A scholar is included among the top collaborators of Liming Miao 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 Liming Miao. Liming Miao 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.
Miao, Liming, Shuwei Qiu, Zexun Zhou, et al.. (2025). Relative importance sampling for off-policy actor-critic in deep reinforcement learning. Scientific Reports. 15(1). 14349–14349. 1 indexed citations
2.
Miao, Liming, et al.. (2024). Development of SSRs Based on the Whole Genome and Screening of Bolting-Resistant SSR Marker in Brassica oleracea L.. Horticulturae. 10(5). 443–443. 3 indexed citations
3.
Wang, Shenyun, Tianyi Wang, Mengmeng Duan, et al.. (2024). A graph-based pan-genome of Brassica oleracea provides new insights into its domestication and morphotype diversification. Plant Communications. 5(2). 100791–100791. 14 indexed citations
4.
Miao, Liming, Dingyu Zhang, Changwei Zhang, et al.. (2024). Combined transcriptome and metabolome analysis provides insight into the ERF073 – Malic acid network in pakchoi under submergence stress. Plant Stress. 15. 100708–100708.
5.
Xi, Dandan, et al.. (2023). Changes in Diversity and Composition of Rhizosphere Bacterial and Fungal Community between Resistant and Susceptible Pakchoi under Plasmodiophora brassicae. International Journal of Molecular Sciences. 24(23). 16779–16779. 5 indexed citations
6.
Miao, Liming, et al.. (2023). Comparative Transcriptome Analysis between Resistant and Susceptible Pakchoi Cultivars in Response to Downy Mildew. International Journal of Molecular Sciences. 24(21). 15710–15710. 4 indexed citations
7.
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9.
Li, Xiaofeng, Dandan Xi, Xiaoming Song, et al.. (2023). Integrated Transcriptome and Proteome Analysis Revealed the Regulatory Mechanism of Hypocotyl Elongation in Pakchoi. International Journal of Molecular Sciences. 24(18). 13808–13808. 2 indexed citations
10.
Duan, Mengmeng, Mei Zong, Ning Guo, et al.. (2023). Comprehensive Genome-Wide Identification of the RNA-Binding Glycine-Rich Gene Family and Expression Profiling under Abiotic Stress in Brassica oleracea. Plants. 12(21). 3706–3706. 2 indexed citations
11.
Wang, Haobin, Ji Wan, Liming Miao, et al.. (2022). High-density stretchable microelectrode array based on multilayer serpentine interconnections. Journal of Micromechanics and Microengineering. 32(8). 84002–84002. 6 indexed citations
12.
Tian, Tian, Xiaohong Tong, Kunyu Ren, et al.. (2022). Influence of protein ratios on the structure and gel properties of soybean-wheat co-precipitated proteins. LWT. 170. 114045–114045. 24 indexed citations
13.
Wang, Guixiang, Mei Zong, Di Liu, et al.. (2022). Efficient generation of targeted point mutations in the Brassica oleracea var. botrytis genome via a modified CRISPR/Cas9 system. Horticultural Plant Journal. 8(4). 527–530. 14 indexed citations
14.
Xu, Chen, Liming Miao, Haobin Wang, et al.. (2020). A Flexible Pain Sensor Based on PDMS-AgNWs. IEEE Transactions on Nanotechnology. 20. 137–142. 4 indexed citations
15.
Guo, Hang, Hanxiang Wu, Yu Song, et al.. (2019). Self-powered digital-analog hybrid electronic skin for noncontact displacement sensing. Nano Energy. 58. 121–129. 51 indexed citations
16.
Miao, Liming, Hang Guo, Ji Wan, et al.. (2019). Localized modulus-controlled PDMS substrate for 2D and 3D stretchable electronics. Journal of Micromechanics and Microengineering. 30(4). 45001–45001. 15 indexed citations
17.
Chen, Haotian, Yu Song, Hang Guo, et al.. (2018). Hybrid porous micro structured finger skin inspired self-powered electronic skin system for pressure sensing and sliding detection. Nano Energy. 51. 496–503. 139 indexed citations
18.
Miao, Liming, Yanxia Lv, Qizhen Chen, et al.. (2018). Genome-wide identification, phylogeny, evolution, and expression patterns of MtN3/saliva/SWEET genes and functional analysis of BcNS in Brassica rapa. BMC Genomics. 19(1). 174–174. 25 indexed citations
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20.
Cheng, Xiaoliang, Liming Miao, Zongming Su, et al.. (2017). Controlled fabrication of nanoscale wrinkle structure by fluorocarbon plasma for highly transparent triboelectric nanogenerator. Microsystems & Nanoengineering. 3(1). 16074–16074. 56 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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