Thomas Lu

55 papers receiving 386 citations

Peers

Thomas Lu
Comparison fields: 5 of 79
  • Media Technology 135
  • Computer Vision and Pattern Recognition 82
  • Structural Biology 5
  • Atomic and Molecular Physics, and Optics 95
  • Electronic, Optical and Magnetic Materials 56
Replace Tien‐Hsin Chao with:
Tien‐Hsin Chao United States
Tomoki Uemura Japan
George C. Giakos United States
Weidong Sheng China
Hyunwoo Kim South Korea
Steven C. Gustafson United States
Xiyang Zhi China
Qing Tang United States
Ronald Freund Germany
Alastair D. McAulay United States
Thomas Lu relative to Tien‐Hsin Chao United States Tien‐Hsin Chao's profile →
Citations per field
00.5×6.5×
Tien‐Hsin Chao · 1×
Citations per year

Countries citing papers authored by Thomas Lu

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Lu Line = papers co-authored together Thomas Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2
Representing spatial relations with fractional binding.
20193
3 201912
4 201912
5 201815
6 20135
7 20123
8 20122
9 20117
10 20111
11 20103
12 20104
13 20096
14 20082
15 19960
16 19930
17 19931
18 199223
19 1990116
20 19901

About Thomas Lu

Thomas Lu is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence and Electrical and Electronic Engineering, having authored 61 papers that have together received 412 indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (13 papers), Photonic and Optical Devices (10 papers), Optical Polarization and Ellipsometry (8 papers), Neural Networks and Applications (6 papers), Neural Networks and Reservoir Computing (4 papers), Advanced Optical Imaging Technologies (4 papers), Remote-Sensing Image Classification (4 papers) and Semiconductor Lasers and Optical Devices (4 papers). The work is most often cited by research in Media Technology (135 citations), Computer Vision and Pattern Recognition (82 citations), Structural Biology (5 citations), Atomic and Molecular Physics, and Optics (95 citations) and Electronic, Optical and Magnetic Materials (56 citations). Thomas Lu has collaborated with scholars based in United States, Denmark and Russia. Frequent co-authors include Tien‐Hsin Chao, Kyongsik Yun, Christopher Assad, A. Trebi‐Ollennu, David Zhu, Terry Huntsberger, Hrand Aghazarian, Michael Wolf, Andrew Howard and Yoshiaki Kuwata. Their work appears in journals such as Optical Engineering, Journal of Field Robotics, Journal of Biomedical Optics, Cognitive Science and IEEE Transactions on Electron Devices.

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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