Mohan Bi
Impact in
- Pollution top 5%
- Microplastics and Plastic Pollution
- Wastewater Treatment and Nitrogen Removal
- Pharmaceutical and Antibiotic Environmental Impacts
- Health Informatics top 5%
Papers in
-
- Microplastics and Plastic Pollution 6
- Pharmaceutical and Antibiotic Environmental Impacts 4
- Wastewater Treatment and Nitrogen Removal 2
-
- Soil Carbon and Nitrogen Dynamics 3
- Soil Management and Crop Yield 1
- Co-authors
- Matthias C. Rillig (10 shared papers)Yi Chen (3 shared papers)Xiangyu Yang (2 shared papers)Kenneth A. Gould (1 shared paper)Uli Sauerland (1 shared paper)Marlene Ågerstrand (1 shared paper)Mengli Chen (2 shared papers)Yiyu Wang (1 shared paper)
- Journals
- Journal of Hazardous Materials (3 papers)Environmental Science and Pollution Research (2 papers)Chemosphere (1 paper)Ecology Letters (1 paper)Environmental Pollution (1 paper)
- Partner nations
- GermanyChinaBangladesh
In The Last Decade
Mohan Bi
14 papers receiving 514 citations
Mohan Bi's Hit Papers
Peers
Comparison fields: 5 of 95
- Pollution 238
- Health Informatics 26
- Waste Management and Disposal 100
- Geochemistry and Petrology 20
- Biomaterials 36
Countries citing papers authored by Mohan Bi
This map shows the geographic impact of Mohan Bi'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 Mohan Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohan Bi more than expected).
Fields of papers citing papers by Mohan Bi
This network shows the impact of papers produced by Mohan Bi. 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 Mohan Bi. The network helps show where Mohan Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohan Bi, 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 | Risks and Benefits of Large Language Models for the Environment Hit paper breakdown → | 2023 | 167 |
| 2 | 2019 | 132 | |
| 3 | 2022 | 99 | |
| 4 | 2022 | 27 | |
| 5 | 2023 | 25 | |
| 6 | 2024 | 23 | |
| 7 | 2022 | 18 | |
| 8 | 2024 | 13 | |
| 9 | 2025 | 12 | |
| 10 | 2024 | 9 | |
| 11 | 2025 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 1 |
About Mohan Bi
Mohan Bi is a scholar working on Pollution, Soil Science, Nature and Landscape Conservation, Environmental Engineering and Ecological Modeling, having authored 14 papers that have together received 535 indexed citations. Recurring topics across this work include Microplastics and Plastic Pollution (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Ecosystem dynamics and resilience (2 papers), Ecology and Vegetation Dynamics Studies (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers), Biocrusts and Microbial Ecology (1 paper) and Soil Management and Crop Yield (1 paper). The work is most often cited by research in Pollution (238 citations), Health Informatics (26 citations), Waste Management and Disposal (100 citations), Geochemistry and Petrology (20 citations) and Biomaterials (36 citations). Mohan Bi has collaborated with scholars based in Germany, China and Bangladesh. Frequent co-authors include Matthias C. Rillig, Yi Chen, Xiangyu Yang, Kenneth A. Gould, Uli Sauerland, Marlene Ågerstrand, Mengli Chen, Yiyu Wang, Qiang He and Xiaoxuan Su. Their work appears in journals such as Journal of Hazardous Materials, Environmental Science and Pollution Research, Chemosphere, Ecology Letters and Environmental Pollution.
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.