Xin Hao
Impact in
- Pollution top 5%
- Heavy metals in environment
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
-
- Functional Brain Connectivity Studies 7
- Memory and Neural Mechanisms 6
- Neural dynamics and brain function 5
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- Categorization, perception, and language 5
- Co-authors
- Wei Ouyang (16 shared papers)Jiang Qiu (5 shared papers)Fanghua Hao (4 shared papers)Mats Tysklind (4 shared papers)Ze Yu (9 shared papers)Jia Liu (10 shared papers)Weijun Tian (1 shared paper)Dongtao Wei (3 shared papers)
- Journals
- Frontiers in Pharmacology (6 papers)Water Research (4 papers)NeuroImage (2 papers)PLoS ONE (2 papers)Brain Structure and Function (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xin Hao
62 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 138
- Pollution 143
- Cognitive Neuroscience 174
- Water Science and Technology 115
- Health, Toxicology and Mutagenesis 100
- Transplantation 17
Countries citing papers authored by Xin Hao
This map shows the geographic impact of Xin Hao'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 Xin Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Hao more than expected).
Fields of papers citing papers by Xin Hao
This network shows the impact of papers produced by Xin Hao. 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 Xin Hao. The network helps show where Xin Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin Hao, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 61 | |
| 2 | 2018 | 56 | |
| 3 | 2020 | 49 | |
| 4 | 2014 | 48 | |
| 5 | 2017 | 44 | |
| 6 | 2021 | 37 | |
| 7 | 2020 | 37 | |
| 8 | 2014 | 36 | |
| 9 | 2023 | 31 | |
| 10 | 2017 | 30 | |
| 11 | 2021 | 29 | |
| 12 | 2013 | 28 | |
| 13 | 2021 | 26 | |
| 14 | 2016 | 25 | |
| 15 | 2022 | 24 | |
| 16 | 2017 | 23 | |
| 17 | 2016 | 22 | |
| 18 | 2021 | 21 | |
| 19 | 2018 | 20 | |
| 20 | 2021 | 20 |
About Xin Hao
Xin Hao is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Water Science and Technology, Pollution and Environmental Chemistry, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include Soil and Water Nutrient Dynamics (8 papers), Hydrology and Watershed Management Studies (8 papers), Functional Brain Connectivity Studies (7 papers), Memory and Neural Mechanisms (6 papers), Spatial Cognition and Navigation (5 papers), Categorization, perception, and language (5 papers), Heavy metals in environment (5 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Pollution (143 citations), Cognitive Neuroscience (174 citations), Water Science and Technology (115 citations), Health, Toxicology and Mutagenesis (100 citations) and Transplantation (17 citations). Xin Hao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wei Ouyang, Jiang Qiu, Fanghua Hao, Mats Tysklind, Ze Yu, Jia Liu, Weijun Tian, Dongtao Wei, Xiangzhen Kong and Chunye Lin. Their work appears in journals such as Frontiers in Pharmacology, Water Research, NeuroImage, PLoS ONE and Brain Structure and Function.
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.