Jun Meng

98 papers receiving 3.2k citations

Jun Meng's Hit Papers

DCGAN-Based Data Augmentation for Tomato Leaf Disease Identification 2020 · 237 citations
2370+3+6Years since publication100200300400500

Peers

Jun Meng
Comparison fields: 5 of 177
  • Water Science and Technology 879
  • Pollution 542
  • Industrial and Manufacturing Engineering 273
  • Environmental Chemistry 297
  • Soil Science 279
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Song Wang China
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Jun Meng relative to Song Wang China Song Wang's profile →
Citations per field
00.5×2.6×
Song Wang · 1×
Citations per year

Countries citing papers authored by Jun Meng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Zeolite-supported nanoscale zero-valent iron: New findings on simultaneous adsorption of Cd(II), Pb(II), and As(III) in aqueous solution and soil
Hit paper breakdown →
2017525
2 2018289
3
DCGAN-Based Data Augmentation for Tomato Leaf Disease Identification
Hit paper breakdown →
2020237
4 2018227
5 2014158
6 2013151
7 2013136
8 2014131
9 2013106
10 201881
11 201478
12 202178
13 201367
14 202159
15 201542
16 201741
17 202139
18 202237
19 202137
20 201236

About Jun Meng

Jun Meng is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Cancer Research and Control and Systems Engineering, having authored 108 papers that have together received 3.2k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (13 papers), Cancer-related molecular mechanisms research (6 papers), Adsorption and biosorption for pollutant removal (6 papers), Animal Disease Management and Epidemiology (6 papers), Advanced Algorithms and Applications (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Neural Networks and Applications (5 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). The work is most often cited by research in Water Science and Technology (879 citations), Pollution (542 citations), Industrial and Manufacturing Engineering (273 citations), Environmental Chemistry (297 citations) and Soil Science (279 citations). Jun Meng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianming Xu, Xingmei Liu, Philip C. Brookes, Qiufeng Wu, Yiping Chen, Jizi Wu, Caixian Tang, Dan Huang, Zhangtao Li and Fan Wang. Their work appears in journals such as Scientific Reports, Archives of Virology, DNA and Cell Biology, BMC Infectious Diseases and Journal of Hazardous Materials.

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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