Liwei Wang
- Artificial Intelligence top 0.5%
- Molecular Biology top 10%
- Computer Vision and Pattern Recognition top 2%
- Health Information Management top 0.5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Hongfang LiuFeichen ShenYanshan WangSijia LiuMajid Rastegar-MojaradSunghwan SohnNaveed AfzalSungrim Moon
- Topics
- Biomedical Text Mining and Ontologies (46 papers)Topic Modeling (39 papers)Natural Language Processing Techniques (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Liwei Wang
185 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Artificial Intelligence 2.4k
- Molecular Biology 938
- Computer Vision and Pattern Recognition 483
- Health Information Management 288
- Radiology, Nuclear Medicine and Imaging 266
Countries citing papers authored by Liwei Wang
This map shows the geographic impact of Liwei 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 Liwei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liwei Wang more than expected).
Fields of papers citing papers by Liwei Wang
This network shows the impact of papers produced by Liwei 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 Liwei Wang. The network helps show where Liwei Wang may publish in the future.
Co-authorship network of co-authors of Liwei Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Liwei Wang. A scholar is included among the top collaborators of Liwei 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 Liwei Wang. Liwei 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 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 30 | |
| 12 | 24 | |
| 13 | 20 | |
| 14 | Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples. | 4 |
| 15 | FRAGE: Frequency-Agnostic Word Representation | 26 |
| 16 | Improving the Generalization of Adversarial Training with Domain Adaptation | 21 |
| 17 | Accelerating Rare Disease Diagnosis with Collaborative Filtering. | 2 |
| 18 | Differentially private data releasing for smooth queries | 2 |
| 19 | Large Margin Deep Neural Networks: Theory and Algorithms. | 5 |
| 20 | Cloud-SVM Model and its Application in the Prediction of CNC Machine Tool Wear State | 1 |
About Liwei Wang
Liwei Wang is a scholar working on Artificial Intelligence, Health Informatics and Health Information Management, having authored 206 papers that have together received 3.8k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (46 papers), Topic Modeling (39 papers) and Natural Language Processing Techniques (21 papers). The work is most often cited by research in Health Informatics (181 citations), Artificial Intelligence (2.4k citations) and Health Information Management (288 citations). Liwei Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongfang Liu, Feichen Shen, Yanshan Wang, Sijia Liu, Majid Rastegar-Mojarad, Sunghwan Sohn, Naveed Afzal, Sungrim Moon, Aoxue Li and Yuqun Zeng. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.