Jiawei Ma
Impact in
- Pollution top 2%
- Heavy metals in environment
- Acoustics and Ultrasonics top 5%
Papers in
- Pollution 19
- Heavy metals in environment 18
-
- Domain Adaptation and Few-Shot Learning 9
- Co-authors
- Shih-Fu Chang (6 shared papers)Guangxing Han (5 shared papers)Xin Yuan (4 shared papers)Shiyuan Huang (4 shared papers)Bin Zhong (12 shared papers)Zhengqian Ye (28 shared papers)Ziyi Meng (3 shared papers)Yicheng He (2 shared papers)
- Journals
- Toxics (4 papers)Journal of Soils and Sediments (4 papers)Environmental Science and Pollution Research (3 papers)Ecotoxicology and Environmental Safety (3 papers)Environmental Technology & Innovation (2 papers)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Jiawei Ma
71 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 133
- Pollution 435
- Acoustics and Ultrasonics 29
- Computer Vision and Pattern Recognition 550
- Radiological and Ultrasound Technology 89
- Media Technology 133
Countries citing papers authored by Jiawei Ma
This map shows the geographic impact of Jiawei Ma'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 Jiawei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiawei Ma more than expected).
Fields of papers citing papers by Jiawei Ma
This network shows the impact of papers produced by Jiawei Ma. 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 Jiawei Ma. The network helps show where Jiawei Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiawei Ma, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 124 | |
| 2 | 2018 | 122 | |
| 3 | 2022 | 121 | |
| 4 | 2020 | 117 | |
| 5 | 2019 | 116 | |
| 6 | 2022 | 113 | |
| 7 | 2021 | 78 | |
| 8 | 2020 | 69 | |
| 9 | 2020 | 57 | |
| 10 | 2018 | 53 | |
| 11 | 2021 | 50 | |
| 12 | 2018 | 49 | |
| 13 | 2024 | 48 | |
| 14 | 2021 | 45 | |
| 15 | 2020 | 36 | |
| 16 | 2023 | 33 | |
| 17 | 2023 | 28 | |
| 18 | 2019 | 27 | |
| 19 | 2022 | 26 | |
| 20 | 2023 | 26 |
About Jiawei Ma
Jiawei Ma is a scholar working on Pollution, Artificial Intelligence, Computer Vision and Pattern Recognition, Plant Science and Electrical and Electronic Engineering, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heavy metals in environment (18 papers), Domain Adaptation and Few-Shot Learning (9 papers), Multimodal Machine Learning Applications (7 papers), Advanced Neural Network Applications (5 papers), Plant Stress Responses and Tolerance (5 papers), Clay minerals and soil interactions (5 papers), Agriculture, Soil, Plant Science (5 papers) and Adsorption and biosorption for pollutant removal (4 papers). The work is most often cited by research in Pollution (435 citations), Acoustics and Ultrasonics (29 citations), Computer Vision and Pattern Recognition (550 citations), Radiological and Ultrasound Technology (89 citations) and Media Technology (133 citations). Jiawei Ma has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Shih-Fu Chang, Guangxing Han, Xin Yuan, Shiyuan Huang, Bin Zhong, Zhengqian Ye, Ziyi Meng, Yicheng He, Mohammad Shafi and Dan Liu. Their work appears in journals such as Toxics, Journal of Soils and Sediments, Environmental Science and Pollution Research, Ecotoxicology and Environmental Safety and Environmental Technology & Innovation.
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.