Chenjian Wu

429 total citations
23 papers, 234 citations indexed

About

Chenjian Wu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Chenjian Wu has authored 23 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Biomedical Engineering. Recurrent topics in Chenjian Wu's work include Ferroelectric and Negative Capacitance Devices (5 papers), Analog and Mixed-Signal Circuit Design (5 papers) and Graphene research and applications (4 papers). Chenjian Wu is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (5 papers), Analog and Mixed-Signal Circuit Design (5 papers) and Graphene research and applications (4 papers). Chenjian Wu collaborates with scholars based in China, Taiwan and Hong Kong. Chenjian Wu's co-authors include Minxin Chen, Ulf Wiedwald, Ute Kaiser, Kenny Ståhl, Takumi Kikegawa, Weiwang Chen, P. Ziemann, Zaoli Zhang, Jozef Bednarčík and H.‐J. Fecht and has published in prestigious journals such as ACS Applied Materials & Interfaces, The Journal of Physical Chemistry C and Journal of Material Science and Technology.

In The Last Decade

Chenjian Wu

23 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenjian Wu China 8 115 109 44 19 17 23 234
Hassène Mnif Tunisia 9 234 2.0× 84 0.8× 80 1.8× 19 1.0× 8 0.5× 51 327
Xiaoke Zhang China 7 242 2.1× 36 0.3× 24 0.5× 24 1.3× 17 1.0× 18 351
Chune Wang China 11 104 0.9× 23 0.2× 39 0.9× 16 0.8× 11 0.6× 27 334
Zhiyuan Ning China 8 52 0.5× 290 2.7× 58 1.3× 9 0.5× 20 1.2× 28 476
Ling Xiao China 10 102 0.9× 54 0.5× 39 0.9× 13 0.7× 15 0.9× 62 361
Junpu Zhang China 11 158 1.4× 70 0.6× 47 1.1× 39 2.1× 84 4.9× 18 361
Xifang Zhu China 10 85 0.7× 83 0.8× 69 1.6× 21 1.1× 8 0.5× 48 393
Mahmoud Mahmoud Egypt 8 107 0.9× 60 0.6× 53 1.2× 95 5.0× 55 3.2× 17 321
Ji-Hoon Suh South Korea 10 209 1.8× 44 0.4× 187 4.3× 15 0.8× 19 1.1× 40 318
Zhouyang Wang China 10 89 0.8× 74 0.7× 77 1.8× 20 1.1× 17 1.0× 22 344

Countries citing papers authored by Chenjian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenjian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenjian Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenjian Wu. A scholar is included among the top collaborators of Chenjian 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 Chenjian Wu. Chenjian Wu 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.
Wu, Chenjian, et al.. (2024). U-Former: COVID-19 lung infection segmentation based on convolutional neural network and transformer. Journal of Electronic Imaging. 33(1). 1 indexed citations
2.
Wu, Chenjian, et al.. (2023). A low temperature coefficient wide temperature range bandgap reference with high power supply rejection. IEICE Electronics Express. 20(9). 20230104–20230104. 3 indexed citations
3.
Wu, Chenjian, et al.. (2023). A 4.21-μV Offset Voltage and 42-nV/√Hz Input Noise Chopper Operational Amplifier with Dynamic Element Matching. Journal of Circuits Systems and Computers. 32(17). 1 indexed citations
4.
Ma, Jingyi, Xinyu Chen, Xinyu Wang, et al.. (2022). Engineering Top Gate Stack for Wafer-Scale Integrated Circuit Fabrication Based on Two-Dimensional Semiconductors. ACS Applied Materials & Interfaces. 14(9). 11610–11618. 16 indexed citations
5.
Yang, Hualei & Chenjian Wu. (2022). An LDO Circuit Design Based On On-chip Compensation. Journal of Physics Conference Series. 2383(1). 12044–12044. 2 indexed citations
6.
Wang, Xinyu, Xinyu Chen, Jingyi Ma, et al.. (2022). Analog and Logic Circuits Fabricated on a Wafer-Scale Two-Dimensional Semiconductor. 1–2. 2 indexed citations
7.
Ma, Jingyi, Xinyu Chen, Yaochen Sheng, et al.. (2021). Top gate engineering of field-effect transistors based on wafer-scale two-dimensional semiconductors. Journal of Material Science and Technology. 106. 243–248. 21 indexed citations
8.
Ma, Shunli, Tianxiang Wu, Xinyu Chen, et al.. (2021). An artificial neural network chip based on two-dimensional semiconductor. Science Bulletin. 67(3). 270–277. 41 indexed citations
9.
Ma, Jingyi, Ling Tong, Xiaojiao Guo, et al.. (2021). Manipulating the Electrical Characteristics of Two-Dimensional Semiconductor Transistors by Gate Engineering. 1–3. 1 indexed citations
10.
Wang, Dandan, Chen Hong, Chenjian Wu, & Minxin Chen. (2021). Point Cloud Surface Reconstruction using Sparse Ellipsoid Radial Basis Function Neural Network. 2021 IEEE 5th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC). 1613–1618. 3 indexed citations
11.
Zhang, Chongyang, et al.. (2021). Image segmentation based on multiscale fast spectral clustering. Multimedia Tools and Applications. 80(16). 24969–24994. 10 indexed citations
12.
Wu, Chenjian, et al.. (2021). Diabetic Retinopathy Grading Using Attention based Convolution Neural Network. 2652–2655. 13 indexed citations
13.
Wu, Chenjian, et al.. (2020). Implementation of A Neuron Using Sigmoid Activation Function with CMOS. 201–204. 9 indexed citations
14.
Wu, Chenjian, et al.. (2020). Sparse Representation of Images based on RBF Neural Network. 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). 33. 830–835. 1 indexed citations
15.
Zhang, Chongyang, Hong Chen, Chenjian Wu, & Minxin Chen. (2019). Multiscale Fast Spectral Clustering based on k-d Tree. 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). 1607–1611. 1 indexed citations
16.
Wu, Chenjian, et al.. (2018). Text-independent speech emotion recognition using frequency adaptive features. Multimedia Tools and Applications. 77(18). 24353–24363. 10 indexed citations
17.
Wu, Chenjian, et al.. (2017). Expression recognition using semantic information and local texture features. Multimedia Tools and Applications. 77(9). 11575–11588. 4 indexed citations
18.
Xu, Zheng, et al.. (2016). A Heterogeneous System for Real-Time Detection with AdaBoost. 839–843. 3 indexed citations
19.
Zhang, Meng, Zhiqun Li, Zengqi Wang, Chenjian Wu, & Liang Chen. (2014). Design of ultralow power receiver front-ends for 2.4 GHz wireless sensor network applications. Journal of Semiconductors. 35(1). 15005–15005. 2 indexed citations
20.
Wu, Chenjian, Zhiqun Li, & Ge Sun. (2014). A low voltage low power up-conversion mixer for WSN application. Journal of Semiconductors. 35(4). 45006–45006. 4 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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