Jun Meng

4.1k citations
121 papers · 3.5k · 2 hit papers · h-index 26

Impact in

Papers in

Jun Meng

109 papers receiving 3.4k citations

Jun Meng's Hit Papers

DCGAN-Based Data Augmentation for Tomato Leaf Disease Identification 2020 · 266 citations
2660+3+6Years since publication100200300400500

Peers

Jun Meng
Comparison fields: 5 of 167
  • Water Science and Technology 861
  • Pollution 325
  • Soil Science 345
  • Environmental Chemistry 161
  • Biomedical Engineering 475
Replace Ruirui Zhang with:
Ruirui Zhang China
Sang‐Ryong Lee South Korea
Lixin Li China
Joonhong Park South Korea
Yuwen Wang China
Miao Li China
Haiying Lu China
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Jun Meng relative to Ruirui Zhang China Ruirui Zhang's profile →
Citations per field
00.5×5×10.4×
Ruirui Zhang · 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 121 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 →
2017546
2 2018295
3
DCGAN-Based Data Augmentation for Tomato Leaf Disease Identification
Hit paper breakdown →
2020266
4 2018254
5 2014174
6 2013159
7 2014144
8 2013143
9 2013113
10 201889
11 201484
12 202183
13 201373
14 202159
15 201547
16 202147
17 201742
18 202142
19 202239
20 201238

About Jun Meng

Jun Meng is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Artificial Intelligence, Soil Science and Immunology, having authored 121 papers that have together received 3.5k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (10 papers), Viral Infections and Outbreaks Research (6 papers), Soil Carbon and Nitrogen Dynamics (5 papers), Pregnancy and preeclampsia studies (5 papers), Cancer-related molecular mechanisms research (5 papers), Adsorption and biosorption for pollutant removal (5 papers), interferon and immune responses (4 papers) and Infectious Encephalopathies and Encephalitis (4 papers). The work is most often cited by research in Water Science and Technology (861 citations), Pollution (325 citations), Soil Science (345 citations), Environmental Chemistry (161 citations) and Biomedical Engineering (475 citations). Jun Meng has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Jianming M. Xu, Xingmei Liu, Philip Charles Brookes, Qiufeng Wu, Yiping Chen, Dan Huang, Jizi Wu, Caixian Tang, Lu Wang and Zhangtao Li. 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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