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 Lei Ren sits on this spectrum.
This scientist: 109 publications — 11th percentile
11% 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 Lei Ren sits on this spectrum.
This scientist: 37 D-Index — 27th percentile
27% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Lei Ren is affiliated with Beihang University in China and has contributed extensively to the fields of computer science and engineering. Their research spans several subfields including artificial intelligence, industrial and manufacturing engineering, control and systems engineering, computer networks and communications, as well as computer vision and pattern recognition.
Their recent publications focus on industrial informatics, the Internet of Things (IoT), and predictive modeling. Notable papers by Lei Ren include:
Their frequent co-authors are:
Lei Ren has published predominantly in several scholarly venues, with the highest number of publications in the following journals:
The main topics of their work include fault detection and control systems, digital transformation in industry, anomaly detection techniques and applications, IoT and edge/fog computing, AI in cancer detection, manufacturing process and optimization, and machine fault diagnosis techniques.
Lei Ren's research addresses complex challenges in industrial and manufacturing contexts, employing machine learning and data-driven approaches for system prediction, diagnostics, and quality control. Their interdisciplinary contributions integrate artificial intelligence methods into real-world industrial applications, particularly focusing on improving the reliability and efficiency of manufacturing and industrial operations.
Lin Zhang;Yongliang Luo;Fei Tao;Bo Hu Li
Ying Liu;Lin Zhang;Yuan Yang;Longfei Zhou
Lei Ren;Jiabao Dong;Xiaokang Wang;Zihao Meng
Lei Ren;Li Zhao;Sheng Hong;Shiqiang Zhao
Lei Ren;Lin Zhang;Lihui Wang;Fei Tao
Lei Ren;Lei Ren;Yaqiang Sun;Yaqiang Sun;Jin Cui;Jin Cui;Lin Zhang;Lin Zhang
Lei Ren;Lin Zhang;Fei Tao;Chun Zhao
Lei Ren;Lei Ren;Jin Cui;Jin Cui;Yaqiang Sun;Yaqiang Sun;Xuejun Cheng;Xuejun Cheng
Lei Ren;Yaqiang Sun;Hao Wang;Lin Zhang
Lei Ren;Lei Ren;Xuejun Cheng;Xuejun Cheng;Xiaokang Wang;Jin Cui;Jin Cui
Xiaokang Wang;Laurence T. Yang;Yihao Wang;Lei Ren
Jingeng Mai;Lin Zhang;Fei Tao;Lei Ren
Fangfang Zhou;Xiaoru Lin;Chang Liu;Ying Zhao
Lei Ren;Yuxin Liu;Xiaokang Wang;Jinhu Lu
Lei Ren;Zihao Meng;Xiaokang Wang;Lin Zhang
Lin Zhang;Longfei Zhou;Lei Ren;Yuanjun Laili
Yongliang Luo;Lin Zhang;Fei Tao;Lei Ren
Longfei Zhou;Lin Zhang;Lei Ren;Jian Wang
Lei Ren;Tao Wang;Yuanjun Laili;Lin Zhang
Lei Ren;Lin Zhang;Fei Tao;XiaolongLuke Zhang
Longfei Zhou;Longfei Zhou;Lin Zhang;Lin Zhang;Bhaba R. Sarker;Yuanjun Laili;Yuanjun Laili
Xiaokang Wang;Laurence Tianruo Yang;Liwen Song;Huihui Wang
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