The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Qingqi Pei sits on this spectrum.
This scientist: 242 publications — 60th percentile
60% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Qingqi Pei sits on this spectrum.
This scientist: 42 D-Index — 43rd percentile
43% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Qingqi Pei is affiliated with Xidian University in China and has an extensive research record primarily in the fields of Computer Science and Engineering. Their body of work includes 208 publications in Computer Science and 107 in Engineering, with a strong focus on several specialized subfields.
Their research spans subfields such as Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, and Information Systems. Within these areas, the main topics covered are centered around Privacy-Preserving Technologies in Data, IoT and Edge/Fog Computing, Blockchain Technology Applications and Security, Vehicular Ad Hoc Networks (VANETs), Traffic Prediction and Management Techniques, Advanced MIMO Systems Optimization, and Anomaly Detection Techniques and Applications.
Qingqi Pei has contributed significantly to well-regarded venues including:
Frequent collaborators in Pei's research include Lei Liu (37 joint publications), Chen Chen (37 joint publications), Jie Feng (24 joint publications), Shaohua Wan (17 joint publications), and Ying Ju (14 joint publications).
Recent notable papers by Qingqi Pei include:
The research topics dealt with in these recent papers cover aspects of edge computing, federated learning, privacy, and intelligent transportation systems, consistent with Pei's broader research interests. Through interdisciplinary contributions blending AI, communication networks, and data privacy, their work addresses multiple challenges in emerging technologies related to IoT, vehicular networks, and smart healthcare systems.
Lei Liu;Chen Chen;Qingqi Pei;Sabita Maharjan
Chen Chen;Bin Liu;Shaohua Wan;Peng Qiao
Jie Feng;F. Richard Yu;Qingqi Pei;Xiaoli Chu
Rui Hu;Yuanxiong Guo;Hongning Li;Qingqi Pei
Jiachun Li;Yan Meng;Lichuan Ma;Suguo Du
Unknown
Unknown
Unknown
Huizi Xiao;Jun Zhao;Qingqi Pei;Jie Feng
Lei Liu;Jie Feng;Qingqi Pei;Chen Chen
Xiang Wang;Jing Ding;Qingqi Pei
Lichuan Ma;Xuefeng Liu;Qingqi Pei;Yong Xiang
Chen Chen;Ziye Liu;Shaohua Wan;Jintai Luan
Jie Feng;Lei Liu;Qingqi Pei;Keqin Li
Jie Feng;F. Richard Yu;Qingqi Pei;Jianbo Du
Jinna Hu;Chen Chen;Lin Cai;Mohammad R. Khosravi
Chen Chen;Yuru Zhang;Zheng Wang;Shaohua Wan
Jie Feng;Qingqi Pei;F. Richard Yu;Xiaoli Chu
Unknown
Chen Chen;Chen Chen;Yanan Jin;Qingqi Pei;Ning Zhang
Chen Chen;Tingting Xiao;Tie Qiu;Ning Lv
Jie Feng;Qingqi Pei;F. Richard Yu;Xiaoli Chu
Zi Li;Qingqi Pei;Ian Markwood;Yao Liu
Chen Chen;Qiang Hui;Wenxuan Xie;Shaohua Wan
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