Haoyue Tan
- Health, Toxicology and Mutagenesis top 5%
- Environmental Engineering top 5%
- Water Science and Technology top 5%
- Pollution top 5%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Wei ShiShifa ZhongBaikun LiZhiyong Jason RenBabetta L. MarroneTianbao WangMajid BagheriJun‐Jie Zhu
- Topics
- Computational Drug Discovery Methods (8 papers)Effects and risks of endocrine disrupting chemicals (7 papers)Estrogen and related hormone effects (6 papers)
- Cited by
- Health, Toxicology and MutagenesisIndustrial and Manufacturing EngineeringEnvironmental Engineering
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Haoyue Tan
13 papers receiving 944 citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Health, Toxicology and Mutagenesis 270
- Environmental Engineering 218
- Water Science and Technology 191
- Pollution 155
- Industrial and Manufacturing Engineering 136
Countries citing papers authored by Haoyue Tan
This map shows the geographic impact of Haoyue Tan'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 Haoyue Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoyue Tan more than expected).
Fields of papers citing papers by Haoyue Tan
This network shows the impact of papers produced by Haoyue Tan. 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 Haoyue Tan. The network helps show where Haoyue Tan may publish in the future.
Co-authorship network of co-authors of Haoyue Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Haoyue Tan. A scholar is included among the top collaborators of Haoyue Tan 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 Haoyue Tan. Haoyue Tan 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 | 9 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 12 | |
| 7 | 30 | |
| 8 | 21 | |
| 9 | 3 | |
| 10 | 38 | |
| 11 | 9 | |
| 12 | Machine Learning: New Ideas and Tools in Environmental Science and Engineeringbreakdown → | 725 |
| 13 | 63 | |
| 14 | 17 | |
| 15 | 22 |
About Haoyue Tan
Haoyue Tan is a scholar working on Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Genetics, having authored 15 papers that have together received 964 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Estrogen and related hormone effects (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (270 citations), Industrial and Manufacturing Engineering (136 citations) and Environmental Engineering (218 citations). Haoyue Tan has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Wei Shi, Shifa Zhong, Baikun Li, Zhiyong Jason Ren, Babetta L. Marrone, Tianbao Wang, Majid Bagheri, Jun‐Jie Zhu, Joel G. Burken and Xiong Yu. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.
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.