Yizhen Wang
- Radiation top 5%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Electrical and Electronic Engineering
- Co-authors
- Nada TomicErvin B. PodgoršakSlobodan DevićQi HanDechen ZhanQiong LiJohn D. ThompsonRaxa Sankreacha
- Topics
- Adversarial Robustness in Machine Learning (5 papers)Anomaly Detection Techniques and Applications (5 papers)Geophysical and Geoelectrical Methods (4 papers)
- Journals
- Angewandte Chemie International EditionSmallInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yizhen Wang
26 papers receiving 221 citations
Peers
Comparison fields: 5 of 70
- Radiation 93
- Pulmonary and Respiratory Medicine 58
- Artificial Intelligence 58
- Radiology, Nuclear Medicine and Imaging 51
- Electrical and Electronic Engineering 27
Countries citing papers authored by Yizhen Wang
This map shows the geographic impact of Yizhen 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 Yizhen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yizhen Wang more than expected).
Fields of papers citing papers by Yizhen Wang
This network shows the impact of papers produced by Yizhen 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 Yizhen Wang. The network helps show where Yizhen Wang may publish in the future.
Co-authorship network of co-authors of Yizhen Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yizhen Wang. A scholar is included among the top collaborators of Yizhen 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 Yizhen Wang. Yizhen 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 34 | |
| 14 | Robustness for Non-Parametric Classification: A Generic Attack and Defense | 1 |
| 15 | Production of Oxygen-containing Compounds Catalytic from Depolymerization of Calcium Lignosulphonate by Submicron-scale MgAl Solid Base | 1 |
| 16 | Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits. | 2 |
| 17 | Analyzing the Robustness of Nearest Neighbors to Adversarial Examples | 9 |
| 18 | 38 | |
| 19 | 5 | |
| 20 | 58 |
About Yizhen Wang
Yizhen Wang is a scholar working on General Dentistry, Radiation and Artificial Intelligence, having authored 32 papers that have together received 226 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Geophysical and Geoelectrical Methods (4 papers). The work is most often cited by research in Radiation (93 citations), Medical Laboratory Technology (4 citations) and Radiology, Nuclear Medicine and Imaging (51 citations). Yizhen Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Nada Tomic, Ervin B. Podgoršak, Slobodan Dević, Qi Han, Dechen Zhan, Qiong Li, John D. Thompson, Raxa Sankreacha, Kelly C. Younge and Marisa Finlay. Their work appears in journals such as Angewandte Chemie International Edition, Small and International Journal of Radiation Oncology*Biology*Physics.
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.