Deming Chen

3.0k total citations · 1 hit paper
12 papers, 1.3k citations indexed

About

Deming Chen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Deming Chen has authored 12 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Electrical and Electronic Engineering and 3 papers in Materials Chemistry. Recurrent topics in Deming Chen's work include Graphene research and applications (3 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Neural Network Applications (3 papers). Deming Chen is often cited by papers focused on Graphene research and applications (3 papers), Video Surveillance and Tracking Methods (3 papers) and Advanced Neural Network Applications (3 papers). Deming Chen collaborates with scholars based in United States, China and Bulgaria. Deming Chen's co-authors include Xiaofan Zhang, Yuhong Li, Kyle Rupnow, Yingyu Chen, Jinjun Xiong, Yuhong Li, Wen‐mei Hwu, Cong Hao, Sitao Huang and Morteza Gholipour and has published in prestigious journals such as arXiv (Cornell University), Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013 and Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014.

In The Last Decade

Deming Chen

10 papers receiving 1.2k citations

Hit Papers

CSRNet: Dilated Convolutional Neural Networks for Underst... 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deming Chen United States 8 923 643 189 183 103 12 1.3k
Yang Wu China 20 1.0k 1.1× 312 0.5× 82 0.4× 52 0.3× 23 0.2× 75 1.3k
Mingliang Gao China 17 685 0.7× 302 0.5× 58 0.3× 77 0.4× 36 0.3× 97 1.1k
Zihang Dai China 17 482 0.5× 773 1.2× 72 0.4× 48 0.3× 7 0.1× 45 1.3k
Chunfeng Song China 17 1.3k 1.4× 441 0.7× 50 0.3× 42 0.2× 38 0.4× 45 1.7k
Yang Lu China 20 577 0.6× 463 0.7× 27 0.1× 100 0.5× 60 0.6× 106 1.3k
Jia Wan China 18 831 0.9× 576 0.9× 139 0.7× 36 0.2× 110 1.1× 29 1.2k
Yuankai Qi China 22 1.6k 1.8× 589 0.9× 224 1.2× 109 0.6× 5 0.0× 65 1.9k

Countries citing papers authored by Deming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Deming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deming Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Deming Chen. A scholar is included among the top collaborators of Deming Chen 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 Deming Chen. Deming Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
2.
Chen, Deming, et al.. (2024). SnapKV: LLM Knows What You are Looking for Before Generation. 22947–22970. 1 indexed citations
3.
Pan, Junhao, et al.. (2022). YouHome System and Dataset: Making Your Home Know You Better. 414–420.
4.
Zhang, Xiaofan, Cong Hao, Jiachen Li, et al.. (2020). SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. arXiv (Cornell University). 2. 216–229. 11 indexed citations
5.
Hao, Cong, Xiaofan Zhang, Yuhong Li, et al.. (2019). FPGA/DNN Co-Design. 1–6. 119 indexed citations
6.
Li, Yuhong, Xiaofan Zhang, & Deming Chen. (2018). CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes. 1091–1100. 976 indexed citations breakdown →
7.
Hasegawa‐Johnson, Mark, et al.. (2017). Using Approximated Auditory Roughness as a Pre-Filtering Feature for Human Screaming and Affective Speech AED. 1914–1918. 6 indexed citations
8.
Gholipour, Morteza, et al.. (2014). Highly accurate SPICE-compatible modeling for single- and double-gate GNRFETs with studies on technology scaling. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–6. 24 indexed citations
9.
Chen, Yingyu, et al.. (2013). A SPICE-Compatible Model of Graphene Nano-Ribbon Field-Effect Transistors Enabling Circuit-Level Delay and Power Analysis under Process Variation. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013. 1789–1794. 47 indexed citations
10.
Chen, Yingyu, et al.. (2013). Graphene nano-ribbon field-effect transistors as future low-power devices. 151–156. 25 indexed citations
11.
Zhao, Shengkui, et al.. (2012). A real-time 3D sound localization system with miniature microphone array for virtual reality. 1853–1857. 38 indexed citations
12.
Su, Liu, Alexandros Papakonstantinou, Hongjun Wang, & Deming Chen. (2011). Real-Time Object Tracking System on FPGAs. 82. 1–7. 35 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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