Jun Meng
- Water Science and Technology top 1%
- Adsorption and biosorption for pollutant removal 6
- Pollution top 2%
- Environmental Chemistry top 2%
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics 5
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- Viral Infections and Immunology Research 14
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- Animal Disease Management and Epidemiology 7
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- Cancer-related molecular mechanisms research 6
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- Neural Networks and Applications 5
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- Pregnancy and preeclampsia studies 5
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- Viral gastroenteritis research and epidemiology 5
- Journals
- Scientific Reports (4 papers)Archives of Virology (3 papers)Journal of Hazardous Materials (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Meng
102 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Water Science and Technology 870
- Pollution 563
- Industrial and Manufacturing Engineering 272
- Environmental Chemistry 297
- Soil Science 282
Countries citing papers authored by Jun Meng
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 1 | |
| 10 | A Hybrid Genetic Ant Colony Optimization Algorithm with an Embedded Cloud Model for Continuous Optimization | 2020 | 8 |
| 11 | 2020 | 24 | |
| 12 | 2019 | 30 | |
| 13 | 2018 | 74 | |
| 14 | 2018 | 283 | |
| 15 | 2017 | 1 | |
| 16 | 2013 | 25 | |
| 17 | Geometry modelling and visualization of above-ground organs of wheat. | 2009 | 0 |
| 18 | Neural Network Training Algorithm Based on Particle Swarm Optimization | 2005 | 5 |
| 19 | Assessment on Different Schemes of Industrial Structure Adjustment Based on DEA | 2004 | 0 |
| 20 | Improved Algorithm of Infrared Image Enhancement | 2004 | 0 |
About Jun Meng
Jun Meng is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine, Agronomy and Crop Science, Modeling and Simulation and Obstetrics and Gynecology, having authored 114 papers that have together received 3.2k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (14 papers), Animal Disease Management and Epidemiology (7 papers), Cancer-related molecular mechanisms research (6 papers), Adsorption and biosorption for pollutant removal (6 papers), Soil Carbon and Nitrogen Dynamics (5 papers), Neural Networks and Applications (5 papers), Pregnancy and preeclampsia studies (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). The work is most often cited by research in Water Science and Technology (870 citations), Pollution (563 citations), Industrial and Manufacturing Engineering (272 citations), Environmental Chemistry (297 citations) and Soil Science (282 citations). Jun Meng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianming Xu, Xingmei Liu, Philip C. Brookes, Qiufeng Wu, Yiping Chen, Dan Huang, Caixian Tang, Jizi Wu, Lu Wang and Zhangtao Li. Their work appears in journals such as Scientific Reports, Archives of Virology, Journal of Hazardous Materials, Journal of Biological Chemistry and DNA and Cell Biology.
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.