Meiling Wang

3.0k citations
109 papers · 2.1k · h-index 25

Impact in

Papers in

    • Photosynthetic Processes and Mechanisms 8
    • Gene expression and cancer classification 6
    • Bioinformatics and Genomic Networks 6
    • Remote-Sensing Image Classification 14
    • Advanced Image Fusion Techniques 6

Meiling Wang

106 papers receiving 2.1k citations

Peers

Meiling Wang
Comparison fields: 5 of 143
  • Neurology 157
  • Media Technology 143
  • Mechanics of Materials 347
  • Molecular Biology 789
  • Plant Science 365
Replace Sung‐Woo Cho with:
Sung‐Woo Cho South Korea
Xin Zhao China
Baohui Zhang China
Xin Liu China
Bartek Rajwa United States
Hong Miao China
Minjuan Wang China
Guodong Liu China
Jingzhi Zhang China
Kenji Yamada Japan
Meiling Wang relative to Sung‐Woo Cho South Korea Sung‐Woo Cho's profile →
Citations per field
00.5×10.2×
Sung‐Woo Cho · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Meiling Wang, 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 Meiling Wang Line = papers co-authored together Meiling Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005193
2 2016115
3 2020105
4 200889
5 201970
6 201165
7 201557
8 201953
9 202052
10 202051
11 201545
12 201144
13 201639
14 201038
15 200836
16 202034
17 201533
18 201832
19 202330
20 200730

About Meiling Wang

Meiling Wang is a scholar working on Molecular Biology, Media Technology, Computer Vision and Pattern Recognition, Plant Science and Mechanics of Materials, having authored 109 papers that have together received 2.1k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (14 papers), Remote Sensing and Land Use (8 papers), Photosynthetic Processes and Mechanisms (8 papers), Functional Brain Connectivity Studies (7 papers), Metal and Thin Film Mechanics (7 papers), Gene expression and cancer classification (6 papers), Advanced Image Fusion Techniques (6 papers) and Bioinformatics and Genomic Networks (6 papers). The work is most often cited by research in Neurology (157 citations), Media Technology (143 citations), Mechanics of Materials (347 citations), Molecular Biology (789 citations) and Plant Science (365 citations). Meiling Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fei Ding, Shuoxin Zhang, Fei Zhou, Xizhen Ai, Kangmin Chen, Daoqiang Zhang, Wei Shao, Xiaolei Wang, Qianzhi Wang and Tao Qian. Their work appears in journals such as International Journal of Molecular Sciences, IEEE Transactions on Geoscience and Remote Sensing, Bioinformatics, Journal of Agricultural and Food Chemistry and IEEE Transactions on Instrumentation and Measurement.

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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