Miao Teng

1.2k total citations
45 papers, 825 citations indexed

About

Miao Teng is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Miao Teng has authored 45 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Plant Science and 8 papers in Cancer Research. Recurrent topics in Miao Teng's work include Smart Agriculture and AI (10 papers), Mitochondrial Function and Pathology (7 papers) and Remote Sensing and LiDAR Applications (7 papers). Miao Teng is often cited by papers focused on Smart Agriculture and AI (10 papers), Mitochondrial Function and Pathology (7 papers) and Remote Sensing and LiDAR Applications (7 papers). Miao Teng collaborates with scholars based in China, United States and Hungary. Miao Teng's co-authors include Dongxia Zhang, Yuesheng Huang, Xupin Jiang, Qiong Zhang, Yuesheng Huang, Ping Zhang, Jiongyu Hu, Weiliang Wen, Sheng Wu and Tongyu Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Miao Teng

42 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miao Teng China 17 221 187 160 156 138 45 825
Xuan Sun China 22 309 1.4× 686 3.7× 121 0.8× 28 0.2× 101 0.7× 94 1.7k
Yifan Zhao China 19 62 0.3× 332 1.8× 152 0.9× 24 0.2× 99 0.7× 89 1.1k
Kyung Ho Lee South Korea 24 34 0.2× 390 2.1× 38 0.2× 136 0.9× 91 0.7× 100 1.6k
Yingjie Song China 18 109 0.5× 613 3.3× 54 0.3× 11 0.1× 463 3.4× 69 1.5k
Kebing Chen China 20 16 0.1× 140 0.7× 35 0.2× 63 0.4× 25 0.2× 50 1.1k
Yoshiko Masuda Japan 18 41 0.2× 685 3.7× 36 0.2× 15 0.1× 133 1.0× 64 1.5k
Indriķis Muižnieks Latvia 13 115 0.5× 321 1.7× 34 0.2× 5 0.0× 277 2.0× 47 816
Seung Tae Lee South Korea 24 60 0.3× 839 4.5× 13 0.1× 19 0.1× 69 0.5× 160 2.0k
Quan Li China 18 203 0.9× 456 2.4× 12 0.1× 20 0.1× 12 0.1× 73 1.1k

Countries citing papers authored by Miao Teng

Since Specialization
Citations

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

Fields of papers citing papers by Miao Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Miao Teng. A scholar is included among the top collaborators of Miao Teng 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 Miao Teng. Miao Teng 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.
Yang, Xin, Xiaodan Han, Guowei Li, et al.. (2025). A 3D phenotyping pipeline for peanut plants using point cloud. Computers and Electronics in Agriculture. 239. 110986–110986.
2.
Yang, Xin, Miao Teng, Xiaodan Han, et al.. (2025). PACANet: A Paired-Attention central axis aggregation network for plant population point cloud segmentation and phenotypic trait Extraction—A case study on maize. Computers and Electronics in Agriculture. 237. 110611–110611. 2 indexed citations
3.
Deng, Hanbin, et al.. (2024). Application of amodal segmentation for shape reconstruction and occlusion recovery in occluded tomatoes. Frontiers in Plant Science. 15. 1376138–1376138. 3 indexed citations
4.
Yang, Xin, et al.. (2024). Maize stem–leaf segmentation framework based on deformable point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. 211. 49–66. 17 indexed citations
5.
Song, Z., Miao Teng, Xin Yang, et al.. (2023). DFSP: A fast and automatic distance field-based stem-leaf segmentation pipeline for point cloud of maize shoot. Frontiers in Plant Science. 14. 1109314–1109314. 21 indexed citations
6.
Zhu, Chao, et al.. (2021). Tassel Segmentation of Maize Point Cloud Based on Super Voxels Clustering and Local Features. SHILAP Revista de lepidopterología. 5 indexed citations
7.
Zhang, Zehui, et al.. (2021). Effect of <i>Pomacea canaliculata</i> grazing on three submerged macrophytes and the related physicochemical factors. Journal of Lake Sciences. 33(4). 1241–1253. 2 indexed citations
8.
Ji, Ran, Miao Teng, Ze Zhang, et al.. (2020). Electric field down-regulates CD9 to promote keratinocytes migration through AMPK pathway. International Journal of Medical Sciences. 17(7). 865–873. 17 indexed citations
9.
Jiang, Xupin, Miao Teng, Ran Ji, et al.. (2019). CD9 regulates keratinocyte differentiation and motility by recruiting E-cadherin to the plasma membrane and activating the PI3K/Akt pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1867(2). 118574–118574. 14 indexed citations
10.
Wu, Sheng, et al.. (2018). An interactive design method for realistic fruit rot modeling and simulation. Advances in Complex Systems. 9(5). 1850038–1850038. 2 indexed citations
11.
Teng, Miao, et al.. (2017). Method for three dimensional visualization of plant lesion appearance.. Bangladesh Journal of Botany. 46. 1079–1087. 1 indexed citations
12.
Jiang, Xupin, Miao Teng, Xiaowei Guo, et al.. (2014). Switch from αvβ5 to αvβ6 integrin is required for CD9‐regulated keratinocyte migration and MMP‐9 activation. FEBS Letters. 588(21). 4044–4052. 9 indexed citations
13.
Hu, C., Yong Xin, Changzhu Li, et al.. (2013). CXCL12/CXCR4 axis promotes mesenchymal stem cell mobilization to burn wounds and contributes to wound repair. Journal of Surgical Research. 183(1). 427–434. 121 indexed citations
14.
Jiang, Xupin, Dongxia Zhang, Miao Teng, et al.. (2013). Downregulation of CD9 in Keratinocyte Contributes to Cell Migration via Upregulation of Matrix Metalloproteinase-9. PLoS ONE. 8(10). e77806–e77806. 26 indexed citations
15.
Lü, Muhan, Ling Chen, Xi Peng, et al.. (2013). miR-27b Represses Migration of Mouse MSCs to Burned Margins and Prolongs Wound Repair through Silencing SDF-1a. PLoS ONE. 8(7). e68972–e68972. 38 indexed citations
16.
Xiao, Rong, Miao Teng, Qiong Zhang, Xiaohua Shi, & Yuesheng Huang. (2012). Myocardial Autophagy after Severe Burn in Rats. PLoS ONE. 7(6). e39488–e39488. 30 indexed citations
17.
Tong, Dali, Dongxia Zhang, Xiang Fei, et al.. (2012). Nicotinamide Pretreatment Protects Cardiomyocytes against Hypoxia-Induced Cell Death by Improving Mitochondrial Stress. Pharmacology. 90(1-2). 11–18. 20 indexed citations
18.
Zhang, Dongxia, Hong Yan, Jiongyu Hu, et al.. (2012). Identification of mitochondria translation elongation factor Tu as a contributor to oxidative damage of postburn myocardium. Journal of Proteomics. 77. 469–479. 14 indexed citations
19.
Teng, Miao, Chunjiang Zhao, Xinyu Guo, & Shenglian Lu. (2011). A framework for plant leaf modeling and shading. Mathematical and Computer Modelling. 58(3-4). 710–718. 7 indexed citations
20.
Xu, Xue, Yiming Zhang, Ping Zhang, et al.. (2011). MAP4 Mechanism that Stabilizes Mitochondrial Permeability Transition in Hypoxia: Microtubule Enhancement and DYNLT1 Interaction with VDAC1. PLoS ONE. 6(12). e28052–e28052. 28 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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