Yuan Hong
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Sociology and Political Science top 10%
- Co-authors
- Jaideep VaidyaHaibing LuJimmy de la TorreShengbin WangShangyu XieSanjay GoelVijayalakshmi AtluriLingyu Wang
- Topics
- Privacy-Preserving Technologies in Data (35 papers)Cryptography and Data Security (29 papers)Adversarial Robustness in Machine Learning (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- Partner nations
- United StatesChinaCanada
In The Last Decade
Yuan Hong
105 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 617
- Electrical and Electronic Engineering 310
- Computer Networks and Communications 241
- Information Systems 192
- Sociology and Political Science 157
Countries citing papers authored by Yuan Hong
This map shows the geographic impact of Yuan Hong'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 Yuan Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Hong more than expected).
Fields of papers citing papers by Yuan Hong
This network shows the impact of papers produced by Yuan Hong. 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 Yuan Hong. The network helps show where Yuan Hong may publish in the future.
Co-authorship network of co-authors of Yuan Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Hong. A scholar is included among the top collaborators of Yuan Hong 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 Yuan Hong. Yuan Hong 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 | 9 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 21 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 53 | |
| 15 | 3 | |
| 16 | Information interoperability technology research for electric vehicle charging/battery swap infrastructure | 0 |
| 17 | Numerical simulation of impulse coupling to aluminum in laser ablation in vacuum | 1 |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 12 |
About Yuan Hong
Yuan Hong is a scholar working on Artificial Intelligence, Computer Science Applications and Computer Graphics and Computer-Aided Design, having authored 113 papers that have together received 1.3k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (35 papers), Cryptography and Data Security (29 papers) and Adversarial Robustness in Machine Learning (13 papers). The work is most often cited by research in Artificial Intelligence (617 citations), Computer Science Applications (89 citations) and Computer Networks and Communications (241 citations). Yuan Hong has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jaideep Vaidya, Haibing Lu, Jimmy de la Torre, Shengbin Wang, Shangyu Xie, Sanjay Goel, Vijayalakshmi Atluri, Lingyu Wang, Basit Shafiq and Han Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.