Chenghong Wang
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
Papers in
- Software 3
-
- Privacy-Preserving Technologies in Data 16
- Cryptography and Data Security 12
- Adversarial Robustness in Machine Learning 5
- Internet Traffic Analysis and Secure E-voting 3
- Co-authors
- Ashwin MachanavajjhalaFei‐Yue WangXiaoqian JiangNoman MohammedShuang WangYuekang ZhangCaiwen DingAmrita Roy Chowdhury
- Journals
- PLoS ONE (3 papers)World Neurosurgery (2 papers)Clinical Neurology and Neurosurgery (2 papers)Frontiers in Aging Neuroscience (1 paper)Proceedings of the VLDB Endowment (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Chenghong Wang
37 papers receiving 285 citations
Peers
Comparison fields: 5 of 66
- Health Informatics 7
- Artificial Intelligence 143
- Software 12
- Information Systems 68
- Neurology 36
Countries citing papers authored by Chenghong Wang
This map shows the geographic impact of Chenghong 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 Chenghong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenghong Wang more than expected).
Fields of papers citing papers by Chenghong Wang
This network shows the impact of papers produced by Chenghong 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 Chenghong Wang. The network helps show where Chenghong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenghong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 0 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 4 | |
| 10 | Outis: Crypto-Assisted Differential Privacy on Untrusted Servers | 2019 | 3 |
| 11 | 2019 | 8 | |
| 12 | 2019 | 9 | |
| 13 | 2018 | 23 | |
| 14 | 2017 | 8 | |
| 15 | 2017 | 12 | |
| 16 | 2017 | 35 | |
| 17 | 2016 | 3 | |
| 18 | 2015 | 4 | |
| 19 | 2014 | 2 | |
| 20 | 2004 | 16 |
About Chenghong Wang
Chenghong Wang is a scholar working on Software, Artificial Intelligence, Neurology, Music and Information Systems, having authored 42 papers that have together received 291 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (16 papers), Cryptography and Data Security (12 papers), Meningioma and schwannoma management (8 papers), Adversarial Robustness in Machine Learning (5 papers), Blockchain Technology Applications and Security (4 papers), Glioma Diagnosis and Treatment (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Health Informatics (7 citations), Artificial Intelligence (143 citations), Software (12 citations), Information Systems (68 citations) and Neurology (36 citations). Chenghong Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ashwin Machanavajjhala, Fei‐Yue Wang, Xiaoqian Jiang, Noman Mohammed, Shuang Wang, Yuekang Zhang, Caiwen Ding, Amrita Roy Chowdhury, Zhenyu Zhang and Jing Zhao. Their work appears in journals such as PLoS ONE, World Neurosurgery, Clinical Neurology and Neurosurgery, Frontiers in Aging Neuroscience and Proceedings of the VLDB Endowment.
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.