Yuan Hong

2.3k total citations
113 papers, 1.3k citations indexed

About

Yuan Hong is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Yuan Hong has authored 113 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 19 papers in Information Systems. Recurrent topics in Yuan Hong's work include Privacy-Preserving Technologies in Data (35 papers), Cryptography and Data Security (29 papers) and Adversarial Robustness in Machine Learning (13 papers). Yuan Hong is often cited by papers focused on Privacy-Preserving Technologies in Data (35 papers), Cryptography and Data Security (29 papers) and Adversarial Robustness in Machine Learning (13 papers). Yuan Hong collaborates with scholars based in United States, China and Canada. Yuan Hong's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Yuan Hong

105 papers receiving 1.3k citations

Peers

Yuan Hong
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
Replace Aske Plaat with:
Aske Plaat Netherlands
Liang Zhao United States
Chen Chen United States
Francisco J. González‐Castaño Spain
Nicola Gatti Italy
Tianyi Chen United States
Carlos Cotta Spain
Jian Yuan China
Ole‐Christoffer Granmo Norway
Yan Fu China
Aske Plaat Netherlands View profile →
Citations per field, relative to Yuan Hong
Yuan Hong · 1×
Citations per year, relative to Yuan Hong
Yuan Hong · 1×

Countries citing papers authored by Yuan Hong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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