Yao-Liang Shen
- Pollution top 1%
- Environmental Engineering top 5%
- Industrial and Manufacturing Engineering top 5%
- Health, Toxicology and Mutagenesis top 5%
- Water Science and Technology top 5%
- Topics
- Wastewater Treatment and Nitrogen Removal (48 papers)Ammonia Synthesis and Nitrogen Reduction (12 papers)Microbial Fuel Cells and Bioremediation (12 papers)
- Partner nations
- ChinaNetherlandsSingapore
In The Last Decade
Yao-Liang Shen
56 papers receiving 735 citations
Peers
Comparison fields: 5 of 56
- Pollution 615
- Environmental Engineering 209
- Industrial and Manufacturing Engineering 208
- Health, Toxicology and Mutagenesis 191
- Water Science and Technology 168
Countries citing papers authored by Yao-Liang Shen
This map shows the geographic impact of Yao-Liang Shen'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 Yao-Liang Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao-Liang Shen more than expected).
Fields of papers citing papers by Yao-Liang Shen
This network shows the impact of papers produced by Yao-Liang Shen. 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 Yao-Liang Shen. The network helps show where Yao-Liang Shen may publish in the future.
Co-authorship network of co-authors of Yao-Liang Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Yao-Liang Shen. A scholar is included among the top collaborators of Yao-Liang Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yao-Liang Shen. Yao-Liang Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 25 | |
| 7 | 19 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 13 | |
| 11 | 26 | |
| 12 | 33 | |
| 13 | 37 | |
| 14 | 11 | |
| 15 | Granulation of granular nitrosation sludge at low C/N ratio | 1 |
| 16 | [Phosphorus threshold for the shift between grass- and algae-stable states in Dahong Harbor of Gehu Lake]. | 4 |
| 17 | Operational Characteristics of Anaerobic Baffled Reactor Treating Low Strength Wastewater | 1 |
| 18 | Micro-ecological Characteristics of Granule Sludge in Anaerobic Baffled Reactor(ABR) | 2 |
| 19 | Effect of C/N ration on denitrifying dephosphatation | 1 |
| 20 | The Current Availability of Treatment Technologies for Landfill Leachate | 1 |
About Yao-Liang Shen
Yao-Liang Shen is a scholar working on Pollution, Catalysis and Industrial and Manufacturing Engineering, having authored 59 papers that have together received 747 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (48 papers), Ammonia Synthesis and Nitrogen Reduction (12 papers) and Microbial Fuel Cells and Bioremediation (12 papers). The work is most often cited by research in Pollution (615 citations), Industrial and Manufacturing Engineering (208 citations) and Catalysis (142 citations). Yao-Liang Shen has collaborated with scholars based in China, Netherlands and Singapore. Frequent co-authors include Jianfang Wang, Wenru Liu, Dianhai Yang, Chongjun Chen, Feiyue Qian, Peng Wu, Haiqing Zhang, Faqian Sun, Xinqiang Liang and Xiao-Ming Ji. Their work appears in journals such as The Science of The Total Environment, Bioresource Technology and Journal of Cleaner Production.
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.