Zhuo Wang
- Molecular Biology top 10%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 5%
- Biological Psychiatry top 2%
- Co-authors
- Daniel P. HolschneiderYumei GuoRenny T. FranceschiPaul H. KrebsbachZhipeng FanKun‐Liang GuanLaurie K. McCauleyCun-Yu Wang
- Topics
- Neuroscience and Neuropharmacology Research (15 papers)Neural dynamics and brain function (11 papers)Functional Brain Connectivity Studies (11 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Zhuo Wang
106 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 1.1k
- Physiology 498
- Cellular and Molecular Neuroscience 381
- Cognitive Neuroscience 347
- Biological Psychiatry 188
Countries citing papers authored by Zhuo Wang
This map shows the geographic impact of Zhuo 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 Zhuo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuo Wang more than expected).
Fields of papers citing papers by Zhuo Wang
This network shows the impact of papers produced by Zhuo 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 Zhuo Wang. The network helps show where Zhuo Wang may publish in the future.
Co-authorship network of co-authors of Zhuo Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Zhuo Wang. A scholar is included among the top collaborators of Zhuo 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 Zhuo Wang. Zhuo 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 | 1 | |
| 2 | PC-YOLO11s: A Lightweight and Effective Feature Extraction Method for Small Target Image Detectionbreakdown → | 21 |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 19 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 10 | |
| 12 | Chronic stress promotes colitis by disturbing the gut microbiota and triggering immune system responsebreakdown → | 295 |
| 13 | 16 | |
| 14 | Efficient Neural Codes under Metabolic Constraints | 4 |
| 15 | [Comprehensive assessment on the outcome of Tianjin Act of Tobacco Control]. | 2 |
| 16 | 1 | |
| 17 | Optimal Neural Population Codes for High-dimensional Stimulus Variables | 2 |
| 18 | 18 | |
| 19 | Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss | 14 |
| 20 | 61 |
About Zhuo Wang
Zhuo Wang is a scholar working on Cognitive Neuroscience, Gastroenterology and Urology, having authored 114 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Neural dynamics and brain function (11 papers) and Functional Brain Connectivity Studies (11 papers). The work is most often cited by research in Biological Psychiatry (188 citations), Behavioral Neuroscience (178 citations) and Gastroenterology (162 citations). Zhuo Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Daniel P. Holschneider, Yumei Guo, Renny T. Franceschi, Paul H. Krebsbach, Zhipeng Fan, Kun‐Liang Guan, Laurie K. McCauley, Cun-Yu Wang, Eric Tang and Jia Chang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.
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.