Shengbo Chen

160 total papers · 2.0k total citations
98 papers, 1.4k citations indexed

About

Shengbo Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shengbo Chen has authored 98 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 32 papers in Computer Networks and Communications and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shengbo Chen's work include Privacy-Preserving Technologies in Data (14 papers), Software Testing and Debugging Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Shengbo Chen is often cited by papers focused on Privacy-Preserving Technologies in Data (14 papers), Software Testing and Debugging Techniques (9 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Shengbo Chen collaborates with scholars based in China, United States and Japan. Shengbo Chen's co-authors include Ness B. Shroff, Prasun Sinha, Keping Yu, Cong Shen, Changhee Joo, Ali Kashif Bashir, Fachao Zhi, Xinmei Zhao, Yang Lü and Yasser D. Al‐Otaibi and has published in prestigious journals such as Bioinformatics, IEEE Journal on Selected Areas in Communications and IEEE Access.

In The Last Decade

Shengbo Chen

82 papers receiving 1.3k citations

Hit Papers

Efficient and Secure Data... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Shengbo Chen 410 389 276 256 180 98 1.4k
Xiaofen Wang 211 0.5× 287 0.7× 754 2.7× 504 2.0× 287 1.6× 86 1.7k
Muhammad Amir Khan 332 0.8× 241 0.6× 176 0.6× 101 0.4× 561 3.1× 104 1.8k
Ghassan Samara 259 0.6× 286 0.7× 118 0.4× 125 0.5× 254 1.4× 106 1.2k
Huirong Fu 696 1.7× 969 2.5× 240 0.9× 247 1.0× 99 0.6× 112 1.5k
Jianxiong Guo 122 0.3× 234 0.6× 201 0.7× 254 1.0× 393 2.2× 164 1.7k
Tianyu Zhang 174 0.4× 246 0.6× 126 0.5× 100 0.4× 112 0.6× 100 1.3k
Ashwani Kumar 162 0.4× 135 0.3× 160 0.6× 146 0.6× 310 1.7× 70 1.2k
Yiming Ye 326 0.8× 94 0.2× 184 0.7× 45 0.2× 523 2.9× 98 1.8k
Peng Yi 390 1.0× 643 1.7× 111 0.4× 77 0.3× 186 1.0× 150 1.3k
Shubo Liu 182 0.4× 209 0.5× 429 1.6× 171 0.7× 106 0.6× 93 1.4k

Countries citing papers authored by Shengbo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shengbo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengbo Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shengbo Chen. A scholar is included among the top collaborators of Shengbo Chen 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 Shengbo Chen. Shengbo Chen 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