Liangmin Wei
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- Heavy Metal Exposure and Toxicity
Papers in
-
- Heavy Metal Exposure and Toxicity 4
-
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Feng Chen (12 shared papers)Yongyue Wei (14 shared papers)Ruyang Zhang (13 shared papers)Hongbing Shen (8 shared papers)David C. Christiani (9 shared papers)Sipeng Shen (6 shared papers)Yang Zhao (4 shared papers)Hui Huang (8 shared papers)
- Journals
- Environment International (2 papers)Journal of Exposure Science & Environmental Epidemiology (2 papers)Engineering (2 papers)Environmental Research Communications (1 paper)Infection (1 paper)
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Liangmin Wei
18 papers receiving 169 citations
Peers
Comparison fields: 5 of 76
- Modeling and Simulation 28
- Health, Toxicology and Mutagenesis 42
- Obstetrics and Gynecology 9
- Infectious Diseases 23
- Applied Microbiology and Biotechnology 2
Countries citing papers authored by Liangmin Wei
This map shows the geographic impact of Liangmin Wei'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 Liangmin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangmin Wei more than expected).
Fields of papers citing papers by Liangmin Wei
This network shows the impact of papers produced by Liangmin Wei. 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 Liangmin Wei. The network helps show where Liangmin Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Liangmin Wei, 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 | 2021 | 26 | |
| 2 | 2020 | 17 | |
| 3 | 2021 | 15 | |
| 4 | 2021 | 15 | |
| 5 | 2022 | 13 | |
| 6 | 2018 | 12 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2024 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2024 | 0 |
About Liangmin Wei
Liangmin Wei is a scholar working on Health, Toxicology and Mutagenesis, Infectious Diseases, Public Health, Environmental and Occupational Health, Nutrition and Dietetics and Modeling and Simulation, having authored 19 papers that have together received 172 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (4 papers), COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Pregnancy and Medication Impact (2 papers), Behavioral Health and Interventions (1 paper), Obesity, Physical Activity, Diet (1 paper), Pharmaceutical industry and healthcare (1 paper) and MRI in cancer diagnosis (1 paper). The work is most often cited by research in Modeling and Simulation (28 citations), Health, Toxicology and Mutagenesis (42 citations), Obstetrics and Gynecology (9 citations), Infectious Diseases (23 citations) and Applied Microbiology and Biotechnology (2 citations). Liangmin Wei has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Feng Chen, Yongyue Wei, Ruyang Zhang, Hongbing Shen, David C. Christiani, Sipeng Shen, Yang Zhao, Hui Huang, Mahmudur Rahman and Li Su. Their work appears in journals such as Environment International, Journal of Exposure Science & Environmental Epidemiology, Engineering, Environmental Research Communications and Infection.
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.