M. Wang
Impact in
- Water Science and Technology top 10%
- Adsorption and biosorption for pollutant removal
-
- Phosphorus and nutrient management
Papers in
-
- Machine Learning in Healthcare 2
- Metaheuristic Optimization Algorithms Research 2
- Co-authors
- Yucang Zhang (1 shared paper)Xinghua Xue (1 shared paper)Jihui Li (1 shared paper)Shuang Xu (1 shared paper)Sen Liu (1 shared paper)Jianhui Chen (2 shared papers)Jingzhu Wang (1 shared paper)Shaofu Lin (3 shared papers)
- Journals
- BMC Bioinformatics (1 paper)Biological Trace Element Research (1 paper)Annual Review of Nuclear and Particle Science (1 paper)Genome Research (1 paper)Archives of Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
M. Wang
17 papers receiving 233 citations
Peers
Comparison fields: 5 of 66
- Water Science and Technology 128
- Industrial and Manufacturing Engineering 38
- Organic Chemistry 44
- Health Informatics 2
- Analytical Chemistry 14
Countries citing papers authored by M. Wang
This map shows the geographic impact of M. Wang'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 M. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Wang more than expected).
Fields of papers citing papers by M. Wang
This network shows the impact of papers produced by M. Wang. 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 M. Wang. The network helps show where M. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Wang, 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 | 2019 | 160 | |
| 2 | 2023 | 18 | |
| 3 | 2018 | 8 | |
| 4 | 2021 | 8 | |
| 5 | 2024 | 7 | |
| 6 | 2011 | 6 | |
| 7 | 2024 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 3 | |
| 11 | 1996 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About M. Wang
M. Wang is a scholar working on Artificial Intelligence, Health, Toxicology and Mutagenesis, Nuclear and High Energy Physics, Molecular Biology and Ecology, having authored 20 papers that have together received 236 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), Machine Learning in Healthcare (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Particle Detector Development and Performance (2 papers), Infection Control and Ventilation (1 paper), Pharmaceutical and Antibiotic Environmental Impacts (1 paper) and Heat Transfer and Optimization (1 paper). The work is most often cited by research in Water Science and Technology (128 citations), Industrial and Manufacturing Engineering (38 citations), Organic Chemistry (44 citations), Health Informatics (2 citations) and Analytical Chemistry (14 citations). M. Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yucang Zhang, Xinghua Xue, Jihui Li, Shuang Xu, Sen Liu, Jianhui Chen, Jingzhu Wang, Shaofu Lin, Jingfang Zhang and Daniel Johnson. Their work appears in journals such as BMC Bioinformatics, Biological Trace Element Research, Annual Review of Nuclear and Particle Science, Genome Research and Archives of Microbiology.
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.