Hongyi Wu

103 total papers · 794 total citations
54 papers, 436 citations indexed

About

Hongyi Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Hongyi Wu has authored 54 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 12 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in Hongyi Wu's work include Cryptography and Data Security (13 papers), Privacy-Preserving Technologies in Data (13 papers) and Adversarial Robustness in Machine Learning (8 papers). Hongyi Wu is often cited by papers focused on Cryptography and Data Security (13 papers), Privacy-Preserving Technologies in Data (13 papers) and Adversarial Robustness in Machine Learning (8 papers). Hongyi Wu collaborates with scholars based in United States, China and Ghana. Hongyi Wu's co-authors include Chunsheng Xin, Qiao Zhang, Tran Viet Xuan Phuong, Mohamed Azab, Cong Wang, Jiang Li, Cong Wang, Cong Wang, Ching‐Hsien Hsu and Jiannong Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Internet of Things Journal.

In The Last Decade

Hongyi Wu

45 papers receiving 420 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hongyi Wu 248 104 80 54 50 54 436
Ruxin Zhao 223 0.9× 75 0.7× 124 1.6× 52 1.0× 64 1.3× 30 400
Shuxin Yang 182 0.7× 96 0.9× 133 1.7× 59 1.1× 44 0.9× 63 464
Jongho Nang 243 1.0× 45 0.4× 79 1.0× 39 0.7× 42 0.8× 36 458
Marko Šarac 129 0.5× 113 1.1× 80 1.0× 62 1.1× 78 1.6× 37 395
Faisal Alkhateeb 239 1.0× 102 1.0× 139 1.7× 35 0.6× 60 1.2× 43 467
Zhiqiang Yang 242 1.0× 165 1.6× 76 0.9× 60 1.1× 69 1.4× 46 488
Bingyan Liu 225 0.9× 52 0.5× 61 0.8× 44 0.8× 22 0.4× 29 367
Shailendra Aswale 134 0.5× 60 0.6× 118 1.5× 56 1.0× 43 0.9× 43 386
Muhammed Basheer Jasser 123 0.5× 101 1.0× 85 1.1× 55 1.0× 64 1.3× 74 404
A. Amuthan 193 0.8× 76 0.7× 161 2.0× 98 1.8× 23 0.5× 45 380

Countries citing papers authored by Hongyi Wu

Since Specialization
Citations

This map shows the geographic impact of Hongyi Wu'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 Hongyi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongyi Wu more than expected).

Fields of papers citing papers by Hongyi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hongyi Wu. 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 Hongyi Wu. The network helps show where Hongyi Wu may publish in the future.

Co-authorship network of co-authors of Hongyi Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongyi Wu. A scholar is included among the top collaborators of Hongyi Wu 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 Hongyi Wu. Hongyi Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026