Zhenjie Yao

571 total citations
35 papers, 374 citations indexed

About

Zhenjie Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Zhenjie Yao has authored 35 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Zhenjie Yao's work include Anomaly Detection Techniques and Applications (4 papers), ECG Monitoring and Analysis (4 papers) and Machine Learning in Healthcare (4 papers). Zhenjie Yao is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), ECG Monitoring and Analysis (4 papers) and Machine Learning in Healthcare (4 papers). Zhenjie Yao collaborates with scholars based in China, United States and Hong Kong. Zhenjie Yao's co-authors include Weidong Yi, Yixin Chen, Li-Qun Xu, Zhipeng Zhang, Jie Bi, Yancheng Ye, Shidong Li, Bo Wu, Ling Xu and Zhipeng Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Zhenjie Yao

32 papers receiving 360 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zhenjie Yao China 10 127 69 65 45 44 35 374
Osama A. Omer Egypt 12 160 1.3× 103 1.5× 123 1.9× 68 1.5× 62 1.4× 75 494
Yanbei Liu China 14 216 1.7× 143 2.1× 203 3.1× 37 0.8× 4 0.1× 54 648
Gunnam Suryanarayana India 9 121 1.0× 37 0.5× 55 0.8× 76 1.7× 34 0.8× 36 329
Khuram Naveed Pakistan 13 219 1.7× 204 3.0× 35 0.5× 35 0.8× 9 0.2× 29 411
Shaveta Arora India 9 290 2.3× 113 1.6× 105 1.6× 120 2.7× 4 0.1× 33 459
Ziquan Zhu United Kingdom 10 171 1.3× 240 3.5× 217 3.3× 33 0.7× 16 0.4× 16 496
Evandro Ottoni Teatini Salles Brazil 13 218 1.7× 240 3.5× 121 1.9× 62 1.4× 4 0.1× 59 554
Jorge Brieva Mexico 12 442 3.5× 68 1.0× 134 2.1× 16 0.4× 55 1.3× 66 690
Roberto Rigamonti Switzerland 8 413 3.3× 102 1.5× 123 1.9× 54 1.2× 10 0.2× 10 548

Countries citing papers authored by Zhenjie Yao

Since Specialization
Citations

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

Fields of papers citing papers by Zhenjie Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenjie Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenjie Yao. A scholar is included among the top collaborators of Zhenjie Yao 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 Zhenjie Yao. Zhenjie Yao 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
1.
Li, Zhiqiang, et al.. (2025). Optimize Gate-All-Around Devices Using Wide Neural Network-Enhanced Bayesian Optimization. IEEE Journal of the Electron Devices Society. 13. 456–463.
2.
Wang, Xiangzeng, et al.. (2024). Miscibility Characteristics of CO2–Oil in Tight Sandstone Reservoirs: Insights from Molecular Dynamics Simulations. ACS Omega. 9(13). 15663–15676. 3 indexed citations
3.
Chang, Xiaohan, et al.. (2024). A deep learning framework for ECG denoising and classification. Biomedical Signal Processing and Control. 94. 106441–106441. 9 indexed citations
4.
Wang, Ning, Nan Zhao, Zhenjie Yao, et al.. (2024). Improved Relative Permeability Models Incorporating Water Film Effects in Low and Ultra-Low Permeability Reservoirs. Energy & Fuels. 38(17). 16218–16239. 4 indexed citations
5.
Jiang, Zhong‐Jie, Zhiqiang Li, & Zhenjie Yao. (2024). Multi-Objective Optimization in 3D Floorplanning. Electronics. 13(9). 1696–1696. 3 indexed citations
6.
Jiang, Zhong‐Jie, Zhiqiang Li, & Zhenjie Yao. (2024). Multi-objective optimization in fixed-outline floorplanning with reinforcement learning. Computers & Electrical Engineering. 120. 109784–109784. 3 indexed citations
7.
Li, Zhiqiang, et al.. (2024). Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks. IEEE Journal of the Electron Devices Society. 12. 619–626. 1 indexed citations
8.
Yao, Zhenjie, Zhicheng Wu, Lingfei Wang, et al.. (2024). Etching process prediction based on cascade recurrent neural network. Engineering Applications of Artificial Intelligence. 139. 109590–109590. 2 indexed citations
9.
He, Yongming, Yangyang Ding, Ning Wang, et al.. (2024). Experimental investigation and predictive modeling of dry-out and salt precipitation effects during underground gas storage operations. Gas Science and Engineering. 133. 205503–205503. 6 indexed citations
10.
Wu, Bo, et al.. (2023). Decompose Auto-Transformer Time Series Anomaly Detection for Network Management. Electronics. 12(2). 354–354. 9 indexed citations
11.
Liu, Chang, Zhenjie Yao, Pengfei Liu, et al.. (2023). Early prediction of MODS interventions in the intensive care unit using machine learning. Journal Of Big Data. 10(1). 55–55. 8 indexed citations
12.
Chen, Lan, et al.. (2022). An online workflow scheduling algorithm considering license limitation in heterogeneous environment. Concurrency and Computation Practice and Experience. 35(2). 1 indexed citations
13.
Liang, Quansheng, Hong Yang, Jian Li, et al.. (2022). Shifts in Bacterial and Archaeal Community Composition in Low-Permeability Oil Reservoirs by a Nutrient Stimulation for Enhancing Oil Recovery. Applied Sciences. 12(16). 8075–8075. 4 indexed citations
14.
Li, Nan, et al.. (2020). Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN. IEEE Access. 8. 164035–164044. 5 indexed citations
15.
Yao, Zhenjie, et al.. (2020). A Survey of TCP Congestion Control Algorithm. 828–832. 12 indexed citations
16.
Yao, Zhenjie, et al.. (2019). Liver disease screening based on densely connected deep neural networks. Neural Networks. 123. 299–304. 49 indexed citations
17.
Yao, Zhenjie & Weidong Yi. (2019). Bionic vision system and its application in license plate recognition. Natural Computing. 19(1). 199–209. 2 indexed citations
18.
Yao, Zhenjie, Jie Bi, & Yixin Chen. (2018). Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey. International Journal of Automation and Computing. 15(6). 643–655. 32 indexed citations
19.
Yao, Zhenjie, Zhipeng Zhang, Li-Qun Xu, Qing-Xia Fan, & Ling Xu. (2016). Generic features for fundus image quality evaluation. 1–6. 13 indexed citations
20.
Yao, Zhenjie, Zhipeng Zhang, & Li-Qun Xu. (2016). Convolutional Neural Network for Retinal Blood Vessel Segmentation. 406–409. 34 indexed citations

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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