Jun Ye
Impact in
- Pollution top 5%
- Pharmaceutical and Antibiotic Environmental Impacts
- Microplastics and Plastic Pollution
- Wastewater Treatment and Nitrogen Removal
- Water Science and Technology top 5%
- Membrane Separation Technologies
Papers in
-
- Heavy metals in environment 3
-
- Analytical chemistry methods development 4
- Co-authors
- Jilai Gong (8 shared papers)Jian‐Qiang Su (2 shared papers)Dongbo Wang (4 shared papers)Zhe Cai (7 shared papers)Siyuan Fang (5 shared papers)Biao Song (5 shared papers)Weicheng Cao (6 shared papers)Xiaomin Li (1 shared paper)
- Journals
- Applied Sciences (3 papers)Chemical Engineering Journal (2 papers)Chemosphere (2 papers)Reactive and Functional Polymers (2 papers)International Journal of Molecular Sciences (1 paper)
- Partner nations
- ChinaAustraliaSaudi Arabia
In The Last Decade
Jun Ye
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Pollution 343
- Water Science and Technology 221
- Waste Management and Disposal 131
- Environmental Chemistry 108
- Molecular Medicine 51
Countries citing papers authored by Jun Ye
This map shows the geographic impact of Jun Ye'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 Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ye more than expected).
Fields of papers citing papers by Jun Ye
This network shows the impact of papers produced by Jun Ye. 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 Ye. The network helps show where Jun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 144 | |
| 2 | 2015 | 125 | |
| 3 | 2021 | 82 | |
| 4 | 2021 | 79 | |
| 5 | 2019 | 65 | |
| 6 | 2019 | 64 | |
| 7 | 2007 | 59 | |
| 8 | 2018 | 55 | |
| 9 | 2017 | 44 | |
| 10 | 2018 | 44 | |
| 11 | 2016 | 43 | |
| 12 | 2023 | 41 | |
| 13 | 2021 | 39 | |
| 14 | 2020 | 34 | |
| 15 | 2021 | 24 | |
| 16 | 2018 | 24 | |
| 17 | 2013 | 22 | |
| 18 | 2015 | 20 | |
| 19 | 2020 | 16 | |
| 20 | 2020 | 15 |
About Jun Ye
Jun Ye is a scholar working on Pollution, Analytical Chemistry, Environmental Chemistry, Food Science and Water Science and Technology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Arsenic contamination and mitigation (5 papers), Analytical chemistry methods development (4 papers), Heavy metals in environment (3 papers), Adsorption and biosorption for pollutant removal (3 papers), Nanoparticles: synthesis and applications (3 papers), Analytical Chemistry and Chromatography (2 papers), Wind Turbine Control Systems (2 papers) and Graphene and Nanomaterials Applications (2 papers). The work is most often cited by research in Pollution (343 citations), Water Science and Technology (221 citations), Waste Management and Disposal (131 citations), Environmental Chemistry (108 citations) and Molecular Medicine (51 citations). Jun Ye has collaborated with scholars based in China, Australia and Saudi Arabia. Frequent co-authors include Jilai Gong, Jian‐Qiang Su, Dongbo Wang, Zhe Cai, Siyuan Fang, Biao Song, Weicheng Cao, Xiaomin Li, Song‐Can Chen and Guo‐Xin Sun. Their work appears in journals such as Applied Sciences, Chemical Engineering Journal, Chemosphere, Reactive and Functional Polymers and International Journal of Molecular Sciences.
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.