Thomas Chen

640 total citations
20 papers, 498 citations indexed

About

Thomas Chen is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Thomas Chen has authored 20 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Biomedical Engineering and 4 papers in Molecular Biology. Recurrent topics in Thomas Chen's work include CCD and CMOS Imaging Sensors (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Advanced Memory and Neural Computing (5 papers). Thomas Chen is often cited by papers focused on CCD and CMOS Imaging Sensors (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Advanced Memory and Neural Computing (5 papers). Thomas Chen collaborates with scholars based in United States, China and South Korea. Thomas Chen's co-authors include Zhengya Zhang, Phil Knag, Oren Sagher, Raoul Kopelman, Daniel A. Orringer, Michael P. Flynn, Gwangseong Kim, Hoe Jin Hah, Martin A. Philbert and Jiabo Li and has published in prestigious journals such as Small, IEEE Transactions on Signal Processing and IEEE Journal of Solid-State Circuits.

In The Last Decade

Thomas Chen

19 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Chen United States 13 227 157 91 56 56 20 498
Haijun Liu China 13 529 2.3× 79 0.5× 47 0.5× 46 0.8× 41 0.7× 83 700
Qingbo Yang China 13 125 0.6× 84 0.5× 73 0.8× 65 1.2× 12 0.2× 71 657
Ning Lin China 14 217 1.0× 59 0.4× 114 1.3× 94 1.7× 7 0.1× 73 649
Zhen Qiu United States 16 157 0.7× 360 2.3× 14 0.2× 110 2.0× 20 0.4× 40 634
Anqi Wu China 12 36 0.2× 98 0.6× 98 1.1× 64 1.1× 18 0.3× 39 415
Zelin Cao China 14 605 2.7× 59 0.4× 75 0.8× 46 0.8× 11 0.2× 55 828
Liwei Huang China 8 153 0.7× 35 0.2× 62 0.7× 18 0.3× 9 0.2× 23 339
Yu‐Chieh Huang Taiwan 11 85 0.4× 110 0.7× 15 0.2× 34 0.6× 21 0.4× 33 343
Zhengxun Song China 12 160 0.7× 189 1.2× 12 0.1× 99 1.8× 8 0.1× 89 637
Dong Xiang United States 10 116 0.5× 135 0.9× 72 0.8× 16 0.3× 17 0.3× 14 489

Countries citing papers authored by Thomas Chen

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Chen. A scholar is included among the top collaborators of Thomas 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 Thomas Chen. Thomas Chen 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.
Chen, Thomas, et al.. (2020). A 1.87-mm2 56.9-GOPS Accelerator for Solving Partial Differential Equations. IEEE Journal of Solid-State Circuits. 55(6). 1709–1718. 17 indexed citations
2.
Haig, Sarah–Jane, Nadine Kotlarz, Linda M. Kalikin, et al.. (2020). Emerging investigator series: bacterial opportunistic pathogen gene markers in municipal drinking water are associated with distribution system and household plumbing characteristics. Environmental Science Water Research & Technology. 6(11). 3032–3043. 27 indexed citations
3.
Chen, Thomas, et al.. (2019). An Sram-Based Accelerator for Solving Partial Differential Equations. 14 indexed citations
4.
Chen, Thomas, et al.. (2019). A 135-mW 1.70TOPS Sparse Video Sequence Inference SoC for Action Classification. IEEE Journal of Solid-State Circuits. 54(7). 2081–2090.
5.
Tang, Wei, et al.. (2018). LEIA: A 2.05mm2 140mW lattice encryption instruction accelerator in 40nm CMOS. 1–4. 26 indexed citations
6.
Choo, Kyojin, et al.. (2017). A Maximum-Likelihood Sequence Detection Powered ADC-Based Serial Link. IEEE Transactions on Circuits and Systems I Regular Papers. 65(7). 2269–2278. 14 indexed citations
7.
Bell, John, Phil Knag, Yong Lim, et al.. (2017). A 1.5-GHz 6.144T Correlations/s 64 $\times $ 64 Cross-Correlator With 128 Integrated ADCs for Real-Time Synthetic Aperture Imaging. IEEE Journal of Solid-State Circuits. 52(5). 1450–1457. 10 indexed citations
8.
Lee, Ching‐En, Thomas Chen, & Zhengya Zhang. (2017). A 127mW 1.63TOPS sparse spatio-temporal cognitive SoC for action classification and motion tracking in videos. C226–C227. 1 indexed citations
9.
10.
Knag, Phil, et al.. (2015). A Sparse Coding Neural Network ASIC With On-Chip Learning for Feature Extraction and Encoding. IEEE Journal of Solid-State Circuits. 50(4). 1070–1079. 51 indexed citations
11.
12.
Knag, Phil, et al.. (2014). Efficient Hardware Architecture for Sparse Coding. IEEE Transactions on Signal Processing. 62(16). 4173–4186. 6 indexed citations
13.
Kim, Jung Kuk, Phil Knag, Thomas Chen, & Zhengya Zhang. (2014). A 6.67mW sparse coding ASIC enabling on-chip learning and inference. 1–2. 12 indexed citations
14.
Nie, Guochao, Hoe Jin Hah, Gwangseong Kim, et al.. (2012). Hydrogel Nanoparticles with Covalently Linked Coomassie Blue for Brain Tumor Delineation Visible to the Surgeon. Small. 8(6). 884–891. 53 indexed citations
15.
Ray, Aniruddha, Xueding Wang, Yong-Eun Koo Lee, et al.. (2011). Targeted blue nanoparticles as photoacoustic contrast agent for brain tumor delineation. Nano Research. 4(11). 1163–1173. 45 indexed citations
16.
Ray, Aniruddha, Xueding Wang, Yong-Eun Koo Lee, et al.. (2011). Photo-acoustic imaging of blue nanoparticle targeted brain tumor for intra-operative glioma delineation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8089. 808906–808906. 1 indexed citations
17.
Orringer, Daniel A., Thomas Chen, William M. Armstead, et al.. (2010). The Brain Tumor Window Model. Neurosurgery. 66(4). 736–743. 37 indexed citations
18.
Orringer, Daniel A., et al.. (2010). A Technical Description of the Brain Tumor Window Model: An In Vivo Model for the Evaluation of Intraoperative Contrast Agents. Acta neurochirurgica. Supplementum. 109. 259–263. 2 indexed citations
19.
Ghosh, Abhijit, Nam Eok Joo, Thomas Chen, & Yvonne L. Kapila. (2010). Proapoptotic fibronectin fragment induces the degradation of ubiquitinated p53 via proteasomes in periodontal ligament cells. Journal of Periodontal Research. 45(4). 481–7. 10 indexed citations
20.
Orringer, Daniel A., Yong-Eun Lee Koo, Thomas Chen, et al.. (2009). IN VITRO CHARACTERIZATION OF A TARGETED, DYE-LOADED NANODEVICE FOR INTRAOPERATIVE TUMOR DELINEATION. Neurosurgery. 64(5). 965–972. 48 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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