Qingzhong Wang
- Molecular Biology
- Biological Psychiatry top 1%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Behavioral Neuroscience top 2%
- Co-authors
- Yogesh DwivediAntoni B. ChanRichard C. SheltonBhaskar RoyWei LiJia WanMinjun PengHaoyi Xiong
- Topics
- Tryptophan and brain disorders (12 papers)Genetic Associations and Epidemiology (12 papers)Tuberculosis Research and Epidemiology (8 papers)
- Journals
- PLoS ONEIEEE Transactions on Pattern Analysis and Machine IntelligenceAmerican Journal of Psychiatry
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qingzhong Wang
111 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 171
- Molecular Biology 603
- Biological Psychiatry 340
- Computer Vision and Pattern Recognition 310
- Artificial Intelligence 276
- Behavioral Neuroscience 266
Countries citing papers authored by Qingzhong Wang
This map shows the geographic impact of Qingzhong 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 Qingzhong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingzhong Wang more than expected).
Fields of papers citing papers by Qingzhong Wang
This network shows the impact of papers produced by Qingzhong 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 Qingzhong Wang. The network helps show where Qingzhong Wang may publish in the future.
Co-authorship network of co-authors of Qingzhong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Qingzhong Wang. A scholar is included among the top collaborators of Qingzhong Wang 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 Qingzhong Wang. Qingzhong Wang 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 79 | |
| 11 | 147 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 16 | |
| 16 | Identification of the original plant of Tibetan material medica "Zangyinchen". | 2 |
| 17 | The Influence of Vegetable Farming Plastic Greenhouse on Soil Animal Community | 1 |
| 18 | Activation of the GFRa1/NCAM pathway stimulates Sertoli cell proliferation in vitro | 3 |
| 19 | 36 | |
| 20 | 11 |
About Qingzhong Wang
Qingzhong Wang is a scholar working on Biological Psychiatry, Aging and Behavioral Neuroscience, having authored 117 papers that have together received 2.4k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (12 papers), Genetic Associations and Epidemiology (12 papers) and Tuberculosis Research and Epidemiology (8 papers). The work is most often cited by research in Biological Psychiatry (340 citations), Behavioral Neuroscience (266 citations) and Computer Vision and Pattern Recognition (310 citations). Qingzhong Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yogesh Dwivedi, Antoni B. Chan, Richard C. Shelton, Bhaskar Roy, Wei Li, Jia Wan, Minjun Peng, Haoyi Xiong, Yongyong Shi and Jianhua Chen. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and American Journal of Psychiatry.
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.