Jay J. Cheng
Impact in
- Building and Construction top 0.05%
- Anaerobic Digestion and Biogas Production
- Industrial and Manufacturing Engineering top 0.05%
- Constructed Wetlands for Wastewater Treatment
Papers in
-
- Constructed Wetlands for Wastewater Treatment 29
- Pollution 34
- Wastewater Treatment and Nitrogen Removal 24
Jay J. Cheng
148 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Building and Construction 3.9k
- Industrial and Manufacturing Engineering 2.4k
- Pollution 2.4k
- Biomedical Engineering 7.9k
- Renewable Energy, Sustainability and the Environment 1.8k
Countries citing papers authored by Jay J. Cheng
This map shows the geographic impact of Jay J. Cheng'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 Jay J. Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay J. Cheng more than expected).
Fields of papers citing papers by Jay J. Cheng
This network shows the impact of papers produced by Jay J. Cheng. 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 Jay J. Cheng. The network helps show where Jay J. Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jay J. Cheng, 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 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 51 | |
| 12 | 2023 | 1 | |
| 13 | 2018 | 2 | |
| 14 | 2016 | 1 | |
| 15 | Effect of different methods on cell disruption and oil extraction of microalgae. | 2016 | 1 |
| 16 | The effect of adding zero-valent iron on methane production from kitchen wastes by anaerobic digestion | 2016 | 2 |
| 17 | 2014 | 14 | |
| 18 | 2014 | 28 | |
| 19 | Dilute acid pretreatment of paulownia for bioethanol production. | 2013 | 1 |
| 20 | Advanced Biofuel Technologies: Status and Barriers | 2010 | 2 |
About Jay J. Cheng
Jay J. Cheng is a scholar working on Industrial and Manufacturing Engineering, Pollution, Building and Construction, Renewable Energy, Sustainability and the Environment and Biomedical Engineering, having authored 163 papers that have together received 14.6k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (52 papers), Microbial Metabolic Engineering and Bioproduction (34 papers), Anaerobic Digestion and Biogas Production (33 papers), Constructed Wetlands for Wastewater Treatment (29 papers), Wastewater Treatment and Nitrogen Removal (24 papers), Algal biology and biofuel production (21 papers), Catalysis for Biomass Conversion (15 papers) and Bioenergy crop production and management (14 papers). The work is most often cited by research in Building and Construction (3.9k citations), Industrial and Manufacturing Engineering (2.4k citations), Pollution (2.4k citations), Biomedical Engineering (7.9k citations) and Renewable Energy, Sustainability and the Environment (1.8k citations). Jay J. Cheng has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Ye Sun, Ye Chen, K.S. Creamer, Deepak Keshwani, Jiele Xu, A. M. Stomp, Maurycy Daroch, Yuanmei Liang, Md. Mahfuzur Rahman Shah and Govinda R. Timilsina. Their work appears in journals such as Bioresource Technology, Energy & Fuels, Transactions of the ASABE, Water Environment Research and The Science of The Total Environment.
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.