Meiling Wang

2.9k total citations
109 papers, 2.0k citations indexed

About

Meiling Wang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Media Technology. According to data from OpenAlex, Meiling Wang has authored 109 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 16 papers in Computer Vision and Pattern Recognition and 16 papers in Media Technology. Recurrent topics in Meiling Wang's work include Remote-Sensing Image Classification (13 papers), Photosynthetic Processes and Mechanisms (8 papers) and Remote Sensing and Land Use (8 papers). Meiling Wang is often cited by papers focused on Remote-Sensing Image Classification (13 papers), Photosynthetic Processes and Mechanisms (8 papers) and Remote Sensing and Land Use (8 papers). Meiling Wang collaborates with scholars based in China, United States and Hong Kong. Meiling Wang's co-authors include Fei Ding, Shuoxin Zhang, Fei Zhou, Xizhen Ai, Kangmin Chen, Daoqiang Zhang, Wei Shao, Xiaolei Wang, Qianzhi Wang and Tao Qian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Genes & Development.

In The Last Decade

Meiling Wang

106 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiling Wang China 24 827 361 345 304 236 109 2.0k
Hong Miao China 23 278 0.3× 121 0.3× 115 0.3× 104 0.3× 236 1.0× 128 1.6k
Xin Zhao China 23 397 0.5× 159 0.4× 62 0.2× 190 0.6× 129 0.5× 239 2.2k
Guodong Liu China 35 1.9k 2.2× 594 1.6× 118 0.3× 395 1.3× 82 0.3× 145 3.5k
Minjuan Wang China 28 1.0k 1.2× 826 2.3× 49 0.1× 184 0.6× 146 0.6× 130 3.2k
Xin Liu China 25 452 0.5× 240 0.7× 29 0.1× 198 0.7× 58 0.2× 161 2.0k
Bartek Rajwa United States 28 1.5k 1.8× 154 0.4× 46 0.1× 74 0.2× 16 0.1× 136 3.5k
Jingzhi Zhang China 30 523 0.6× 69 0.2× 35 0.1× 157 0.5× 874 3.7× 189 2.9k
Jaeil Kim South Korea 22 312 0.4× 195 0.5× 40 0.1× 87 0.3× 62 0.3× 91 1.7k
Ki-Han Kim United States 32 1.7k 2.0× 45 0.1× 128 0.4× 289 1.0× 140 0.6× 147 4.0k

Countries citing papers authored by Meiling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiling Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Meiling Wang. A scholar is included among the top collaborators of Meiling Wang 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 Meiling Wang. Meiling Wang 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.
Wang, Meiling, et al.. (2024). Manganese improves CD8+ T cell recruitment via cGAS-STING in hepatocellular carcinoma. International Immunopharmacology. 143(Pt 3). 113591–113591. 2 indexed citations
3.
Wang, Meiling, et al.. (2024). Depression-associated gut microbes, metabolites and clinical trials. Frontiers in Microbiology. 15. 1292004–1292004. 17 indexed citations
4.
Wang, Meiling, Lili Geng, Siming Jiao, et al.. (2023). Bacillus thuringiensis exopolysaccharides induced systemic resistance against Sclerotinia sclerotiorum in Brassica campestris L.. Biological Control. 183. 105267–105267. 8 indexed citations
5.
Wang, Meiling, Wei Shao, Shuo Huang, & Daoqiang Zhang. (2023). Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer’s Disease diagnosis. Medical Image Analysis. 89. 102883–102883. 23 indexed citations
6.
Wang, Meiling, et al.. (2023). SOML: Structure-Wise Ordinal Measure Learning for Hyperspectral Image Classification. IEEE Transactions on Instrumentation and Measurement. 73. 1–12. 1 indexed citations
7.
Wang, Meiling, et al.. (2023). Deep Margin Cosine Autoencoder-Based Medical Hyperspectral Image Classification for Tumor Diagnosis. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 21 indexed citations
8.
Wang, Meiling, Xiaowan Li, Hong Chen, et al.. (2023). Role of Exosomes in the Pathogenesis and Theranostic of Alzheimer’s Disease and Parkinson’s Disease. International Journal of Molecular Sciences. 24(13). 11054–11054. 15 indexed citations
9.
10.
Zhang, Li, Xiaoyun Liu, Xiaoke Hao, et al.. (2023). Incorporating multi-stage diagnosis status to mine associations between genetic risk variants and the multi-modality phenotype network in major depressive disorder. Frontiers in Psychiatry. 14. 1139451–1139451. 4 indexed citations
11.
Chen, Xiaofeng, Yongqi Liu, Kaiwen Lv, et al.. (2023). FASTdRNA: a workflow for the analysis of ONT direct RNA sequencing. Bioinformatics Advances. 3(1). vbad099–vbad099. 3 indexed citations
12.
Sun, Haoran, Qiuming Chen, Meiling Wang, et al.. (2023). MMiKG: a knowledge graph-based platform for path mining of microbiota–mental diseases interactions. Briefings in Bioinformatics. 24(6). 9 indexed citations
13.
Wang, Meiling, et al.. (2022). Deep Network With Irregular Convolutional Kernels and Self-Expressive Property for Classification of Hyperspectral Images. IEEE Transactions on Neural Networks and Learning Systems. 34(12). 10747–10761. 14 indexed citations
14.
Ji, Xiaotong, et al.. (2022). PlMYB308 Regulates Flower Senescence by Modulating Ethylene Biosynthesis in Herbaceous Peony. Frontiers in Plant Science. 13. 872442–872442. 16 indexed citations
15.
Foo, Tzeh Keong, Joonyoung Her, Haiyan Zheng, et al.. (2021). ATR/ATM-Mediated Phosphorylation of BRCA1 T1394 Promotes Homologous Recombinational Repair and G2–M Checkpoint Maintenance. Cancer Research. 81(18). 4676–4684. 18 indexed citations
16.
Gu, Yixue, Meiling Wang, Yi Guo, et al.. (2020). Serum Exosomal Proteins F9 and TSP-1 as Potential Diagnostic Biomarkers for Newly Diagnosed Epilepsy. Frontiers in Neuroscience. 14. 737–737. 23 indexed citations
17.
Chen, Jieyi, et al.. (2019). Effect of calcium incorporation on properties of Cu(InGa)Se2 thin film and solar cell. Materials Research Express. 6(9). 96430–96430. 1 indexed citations
18.
Bi, Huangai, et al.. (2014). Decreased TK activity alters growth, yield and tolerance to low temperature and low light intensity in transgenic cucumber plants. Plant Cell Reports. 34(2). 345–354. 28 indexed citations
19.
Bi, Huangai, et al.. (2013). Cloning and expression analysis of transketolase gene in Cucumis sativus L.. Plant Physiology and Biochemistry. 70. 512–521. 17 indexed citations
20.
Wang, Meiling & Guo Chen. (2010). Intelligent diagnosis of rubbing based on correlation dimension and energy spectrum entropy. Zhendong yu chongji. 29(8). 174–177. 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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