Nanjian Wu

2.6k total citations
252 papers, 1.8k citations indexed

About

Nanjian Wu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nanjian Wu has authored 252 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 219 papers in Electrical and Electronic Engineering, 34 papers in Biomedical Engineering and 32 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nanjian Wu's work include CCD and CMOS Imaging Sensors (70 papers), Advancements in PLL and VCO Technologies (62 papers) and Radio Frequency Integrated Circuit Design (59 papers). Nanjian Wu is often cited by papers focused on CCD and CMOS Imaging Sensors (70 papers), Advancements in PLL and VCO Technologies (62 papers) and Radio Frequency Integrated Circuit Design (59 papers). Nanjian Wu collaborates with scholars based in China, Japan and Macao. Nanjian Wu's co-authors include Liyuan Liu, Wancheng Zhang, Peng Feng, Jian Liu, Zhao Zhang, Shenghua Zhou, Jie Yang, Qingyu Lin, Tamotsu Hashizume and Qi Qin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Scientific Reports.

In The Last Decade

Nanjian Wu

221 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nanjian Wu China 21 1.5k 329 235 233 179 252 1.8k
T. Shibata Japan 23 1.7k 1.1× 652 2.0× 187 0.8× 232 1.0× 140 0.8× 122 2.2k
Tadashi Shibata Japan 18 909 0.6× 204 0.6× 239 1.0× 181 0.8× 70 0.4× 141 1.3k
Orly Yadid-Pecht Canada 24 1.3k 0.9× 311 0.9× 463 2.0× 161 0.7× 200 1.1× 158 2.0k
Nicolas Blanc Switzerland 18 561 0.4× 295 0.9× 157 0.7× 531 2.3× 99 0.6× 68 1.4k
Steve Collins United Kingdom 23 1.1k 0.7× 316 1.0× 64 0.3× 165 0.7× 52 0.3× 127 1.6k
Wang Ling Goh Singapore 23 1.8k 1.2× 924 2.8× 285 1.2× 55 0.2× 243 1.4× 183 2.4k
Alexandre Schmid Switzerland 19 952 0.6× 554 1.7× 214 0.9× 67 0.3× 461 2.6× 168 1.5k
Shoushun Chen Singapore 22 1.1k 0.8× 142 0.4× 221 0.9× 44 0.2× 290 1.6× 100 1.6k
Ricardo Carmona‐Galán Spain 18 964 0.6× 189 0.6× 242 1.0× 50 0.2× 135 0.8× 162 1.5k

Countries citing papers authored by Nanjian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Nanjian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanjian Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Nanjian Wu. A scholar is included among the top collaborators of Nanjian 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 Nanjian Wu. Nanjian 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.
Liu, Min, et al.. (2024). A 64 × 128 3D-Stacked SPAD Image Sensor for Low-Light Imaging. Sensors. 24(13). 4358–4358. 4 indexed citations
2.
Liu, Min, Z. G. Wang, Man‐Kay Law, et al.. (2024). A 3 THz CMOS Image Sensor. IEEE Journal of Solid-State Circuits. 59(9). 2934–2947. 1 indexed citations
3.
Chen, Leyi, Cong Shi, Junxian He, et al.. (2023). An 8-T Processing-in-Memory SRAM Cell-Based Pixel-Parallel Array Processor for Vision Chips. IEEE Transactions on Circuits and Systems I Regular Papers. 70(11). 4249–4259. 2 indexed citations
4.
Yin, Tao, et al.. (2023). Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System. IEEE photonics journal. 15(6). 1–9.
5.
Wang, Haibing, Zhihua Zhou, Junxian He, et al.. (2023). Live Demonstration: Face Recognition at The Edge Using Fast On-Chip Deep Learning Neuromorphic Chip. 13. 1–2. 1 indexed citations
6.
Zhao, Mingxin, et al.. (2023). A Real-Time 2D/3D Perception Visual Vector Processor for 1920 × 1080 High-Resolution High-Speed Intelligent Vision Chips. IEEE Transactions on Circuits and Systems I Regular Papers. 71(2). 740–753. 2 indexed citations
7.
8.
Wang, Haibing, Junxian He, Xichuan Zhou, et al.. (2022). TripleBrain: A Compact Neuromorphic Hardware Core With Fast On-Chip Self-Organizing and Reinforcement Spike-Timing Dependent Plasticity. IEEE Transactions on Biomedical Circuits and Systems. 16(4). 636–650. 27 indexed citations
9.
Luo, Qian, Mingxin Zhao, Cheng Li, et al.. (2022). A Programmable and Flexible Vision Processor. IEEE Transactions on Circuits & Systems II Express Briefs. 69(9). 3884–3888. 4 indexed citations
10.
Luo, Qian, et al.. (2022). Hierarchical Parallel Vision Processor for High-Speed Ship Detection. IEEE Transactions on Circuits & Systems II Express Briefs. 70(3). 1164–1168. 2 indexed citations
11.
Zhang, Yuguang, Han Liu, Zhao Zhang, et al.. (2021). A 56-Gb/s Reconfigurable Silicon-Photonics Transmitter Using High-Swing Distributed Driver and 2-Tap In-Segment Feed-Forward Equalizer in 65-nm CMOS. IEEE Transactions on Circuits and Systems I Regular Papers. 69(3). 1159–1170. 10 indexed citations
12.
Zhao, Mingxin, et al.. (2021). Exploring Structural Sparsity in CNN via Selective Penalty. IEEE Transactions on Circuits and Systems for Video Technology. 32(3). 1658–1666. 18 indexed citations
13.
Zhao, Mingxin, et al.. (2020). Quantizing Oriented Object Detection Network via Outlier-Aware Quantization and IoU Approximation. IEEE Signal Processing Letters. 27. 1914–1918. 9 indexed citations
14.
Qi, N. D., Miaofeng Li, Jian Liu, et al.. (2020). A 50-Gb/s PAM4 Si-Photonic Transmitter With Digital-Assisted Distributed Driver and Integrated CDR in 40-nm CMOS. IEEE Journal of Solid-State Circuits. 55(5). 1282–1296. 11 indexed citations
15.
Fang, Tong, Peng Feng, Tong Fang, et al.. (2020). 基于65 nm标准CMOS工艺的3.0 THz 探测器. JOURNAL OF INFRARED AND MILLIMETER WAVES. 39(1). 56–64. 1 indexed citations
16.
He, Wei, Jie Zhang, Yingcheng Lin, et al.. (2020). A Low-Cost High-Speed Object Tracking VLSI System Based on Unified Textural and Dynamic Compressive Features. IEEE Transactions on Circuits & Systems II Express Briefs. 68(3). 1013–1017. 4 indexed citations
17.
Liu, Liyuan, et al.. (2019). A Discrete-Time Audio $\Delta\Sigma$ Modulator Using Dynamic Amplifier With Speed Enhancement and Flicker Noise Reduction Techniques. IEEE Journal of Solid-State Circuits. 55(2). 333–343. 23 indexed citations
18.
Zhang, Zhao, Liyuan Liu, N. D. Qi, et al.. (2019). An 18–23 GHz 57.4-fs RMS Jitter −253.5-dB FoM Sub-Harmonically Injection-Locked All-Digital PLL With Single-Ended Injection Technique and ILFD Aided Adaptive Injection Timing Alignment Technique. IEEE Transactions on Circuits and Systems I Regular Papers. 66(10). 3733–3746. 15 indexed citations
19.
Gong, Haimei, et al.. (2015). AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology. 9674. 6 indexed citations
20.
Zhang, Wancheng, et al.. (2009). A novel architecture of vision chip for fast traffic lane detection and FPGA implementation. 917–920. 8 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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