Mingyi Jia

433 citations
11 papers · 309 · h-index 8

Impact in

Papers in

Mingyi Jia

11 papers receiving 302 citations

Peers

Mingyi Jia
Comparison fields: 5 of 64
  • Water Science and Technology 154
  • Environmental Engineering 79
  • Industrial and Manufacturing Engineering 41
  • Pollution 51
  • Health, Toxicology and Mutagenesis 36
Replace Haorui Wang with:
Haorui Wang China
Shakhawat Hossain Bangladesh
Yanbo Chen China
Norelyza Hussein Malaysia
Jaewoong Lee South Korea
Wirginia Tomczak Poland
Almotasembellah Abushaban Netherlands
Donghui Lu China
Fazureen Azaman Malaysia
Mingyi Jia relative to Haorui Wang China Haorui Wang's profile →
Citations per field
00.5×2.8×
Haorui Wang · 1×
Citations per year

Countries citing papers authored by Mingyi Jia

Since Specialization
Citations

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

Fields of papers citing papers by Mingyi Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 202378
2 202376
3 201865
4 202126
5 202424
6 202317
7 202110
8 20257
9 20234
10
Air quality impacts of emissions from a typical iron and steel plant in Hebei Province during the coronavirus disease (COVID-19)
20211
11 20251

About Mingyi Jia

Mingyi Jia is a scholar working on Water Science and Technology, Health, Toxicology and Mutagenesis, Environmental Engineering, Global and Planetary Change and Biomedical Engineering, having authored 11 papers that have together received 309 indexed citations. Recurring topics across this work include Membrane Separation Technologies (3 papers), Recycling and Waste Management Techniques (2 papers), Urban Stormwater Management Solutions (2 papers), Microplastics and Plastic Pollution (2 papers), Mercury impact and mitigation studies (2 papers), Membrane-based Ion Separation Techniques (2 papers), Flood Risk Assessment and Management (2 papers) and Minerals Flotation and Separation Techniques (2 papers). The work is most often cited by research in Water Science and Technology (154 citations), Environmental Engineering (79 citations), Industrial and Manufacturing Engineering (41 citations), Pollution (51 citations) and Health, Toxicology and Mutagenesis (36 citations). Mingyi Jia has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Alicia Kyoungjin An, Muhammad Usman Farid, Jehad A. Kharraz, Haifeng Jia, Changqing Xu, Ming Xu, Ying Long, Pak Wai Wong, Noman Khalid Khanzada and Am Jang. Their work appears in journals such as Nature Communications, Journal of Membrane Science, Water Research, Journal of Water Process Engineering and Journal of Environmental Management.

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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