Baoying Wang
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
-
- Ginseng Biological Effects and Applications 5
- Retinal Development and Disorders 4
-
- Advanced Clustering Algorithms Research 6
- Co-authors
- Yucheng Li (14 shared papers)Ming Bai (10 shared papers)William Perrizo (12 shared papers)Ji-Duo Shen (6 shared papers)Erping Xu (11 shared papers)Xianghua Liu (5 shared papers)Zucong Cai (5 shared papers)Zhao Jun (6 shared papers)
- Journals
- Journal of Molecular Neuroscience (4 papers)Applied Soil Ecology (3 papers)PLoS ONE (2 papers)Pharmacological Research (2 papers)Cell Death Discovery (1 paper)
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Baoying Wang
65 papers receiving 930 citations
Peers
Comparison fields: 5 of 137
- Biological Psychiatry 43
- Behavioral Neuroscience 24
- Complementary and alternative medicine 41
- Pharmacology 41
- Nephrology 32
Countries citing papers authored by Baoying Wang
This map shows the geographic impact of Baoying Wang'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 Baoying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoying Wang more than expected).
Fields of papers citing papers by Baoying Wang
This network shows the impact of papers produced by Baoying Wang. 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 Baoying Wang. The network helps show where Baoying Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Baoying Wang, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 99 | |
| 2 | 2018 | 91 | |
| 3 | 2004 | 61 | |
| 4 | 2017 | 61 | |
| 5 | 2020 | 59 | |
| 6 | 2005 | 37 | |
| 7 | 2014 | 33 | |
| 8 | 2023 | 30 | |
| 9 | 2021 | 28 | |
| 10 | 2020 | 25 | |
| 11 | 2019 | 25 | |
| 12 | 2013 | 21 | |
| 13 | 2020 | 21 | |
| 14 | 2020 | 19 | |
| 15 | 2013 | 19 | |
| 16 | 2009 | 19 | |
| 17 | 2021 | 19 | |
| 18 | 2019 | 18 | |
| 19 | 2022 | 17 | |
| 20 | 2015 | 16 |
About Baoying Wang
Baoying Wang is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Computer Networks and Communications and Biological Psychiatry, having authored 73 papers that have together received 959 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (10 papers), Advanced Clustering Algorithms Research (6 papers), Ginseng Biological Effects and Applications (5 papers), Tryptophan and brain disorders (5 papers), Retinal Development and Disorders (4 papers), Data Management and Algorithms (4 papers), Plant-Microbe Interactions and Immunity (3 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Biological Psychiatry (43 citations), Behavioral Neuroscience (24 citations), Complementary and alternative medicine (41 citations), Pharmacology (41 citations) and Nephrology (32 citations). Baoying Wang has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Yucheng Li, Ming Bai, William Perrizo, Ji-Duo Shen, Erping Xu, Xianghua Liu, Zucong Cai, Zhao Jun, Xinqi Huang and Jinbo Zhang. Their work appears in journals such as Journal of Molecular Neuroscience, Applied Soil Ecology, PLoS ONE, Pharmacological Research and Cell Death Discovery.
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.