Shaobo Luo

622 total citations
23 papers, 464 citations indexed

About

Shaobo Luo is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Shaobo Luo has authored 23 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Biomedical Engineering. Recurrent topics in Shaobo Luo's work include Advanced Neural Network Applications (4 papers), Advanced Memory and Neural Computing (3 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Shaobo Luo is often cited by papers focused on Advanced Neural Network Applications (4 papers), Advanced Memory and Neural Computing (3 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Shaobo Luo collaborates with scholars based in China, Singapore and France. Shaobo Luo's co-authors include Ruimin Huang, Zhijun Ning, Kaimin Xu, Yuequn Shang, Ruili Wang, Edward H. Sargent, F. Pelayo Garcı́a de Arquer, Wenjia Zhou, Yajun Ha and A. Q. Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and RSC Advances.

In The Last Decade

Shaobo Luo

23 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaobo Luo China 11 257 162 106 51 46 23 464
Izhal Abdul Halin Malaysia 12 306 1.2× 70 0.4× 208 2.0× 33 0.6× 35 0.8× 60 517
Leiming Yu China 12 224 0.9× 112 0.7× 116 1.1× 35 0.7× 32 0.7× 47 508
Hyungsuk Kim South Korea 11 185 0.7× 47 0.3× 167 1.6× 51 1.0× 13 0.3× 34 473
Sharnali Islam Bangladesh 16 550 2.1× 220 1.4× 205 1.9× 81 1.6× 17 0.4× 48 737
Yu Mao China 10 125 0.5× 143 0.9× 78 0.7× 22 0.4× 14 0.3× 38 333
Yushuang Zhang China 14 349 1.4× 310 1.9× 171 1.6× 106 2.1× 34 0.7× 31 714
Chen Taiwan 11 365 1.4× 75 0.5× 58 0.5× 52 1.0× 20 0.4× 149 512
Qian Tian China 10 202 0.8× 41 0.3× 189 1.8× 102 2.0× 83 1.8× 56 449
ARVIND ARVIND United States 5 428 1.7× 339 2.1× 170 1.6× 72 1.4× 12 0.3× 9 784
Perambur S. Neelakanta United States 9 145 0.6× 72 0.4× 62 0.6× 37 0.7× 10 0.2× 72 441

Countries citing papers authored by Shaobo Luo

Since Specialization
Citations

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

Fields of papers citing papers by Shaobo Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaobo Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Shaobo Luo. A scholar is included among the top collaborators of Shaobo Luo 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 Shaobo Luo. Shaobo Luo 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, Jin, L. P. Fu, Shaobo Luo, et al.. (2024). Artificial Intelligence-Assisted Microfluidic Bio-Imaging—From Sensors to Applications: A Review. IEEE Sensors Journal. 25(2). 2056–2072. 2 indexed citations
2.
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Mao, Wei, et al.. (2022). An Energy-Efficient Mixed-Bitwidth Systolic Accelerator for NAS-Optimized Deep Neural Networks. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 30(12). 1878–1890. 12 indexed citations
4.
Mao, Wei, Jun Liu, Mingqiang Huang, et al.. (2022). An Energy-Efficient Mixed-Bit CNN Accelerator With Column Parallel Readout for ReRAM-Based In-Memory Computing. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 12(4). 821–834. 8 indexed citations
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Shi, Chenyang, Jing Jin, Yuzhen Li, et al.. (2022). A High-speed Event-based Object Tracking with Heterogeneous Computing Hardware. 394–399. 2 indexed citations
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Duan, Fei, Aiwu Zhou, Shaobo Luo, et al.. (2022). Image‐based real‐time feedback control of magnetic digital microfluidics by artificial intelligence‐empowered rapid object detector for automated in vitro diagnostics. Bioengineering & Translational Medicine. 8(4). e10428–e10428. 14 indexed citations
9.
Sabry, Yasser M., Rachid Dris, Johnny Gaspéri, et al.. (2021). A microfluidic chip enables fast analysis of water microplastics by optical spectroscopy. Scientific Reports. 11(1). 10533–10533. 37 indexed citations
10.
Luo, Shaobo, Yuzhi Shi, L. K. Chin, et al.. (2021). Rare bioparticle detection via deep metric learning. RSC Advances. 11(29). 17603–17610. 6 indexed citations
11.
Luo, Shaobo, Kim Truc Nguyen, Bình Thị Thanh Nguyễn, et al.. (2021). Deep learning‐enabled imaging flow cytometry for high‐speedCryptosporidium and Giardia detection. Cytometry Part A. 99(11). 1123–1133. 20 indexed citations
12.
Luo, Shaobo, Yuzhi Shi, L. K. Chin, et al.. (2021). Machine‐Learning‐Assisted Intelligent Imaging Flow Cytometry: A Review. SHILAP Revista de lepidopterología. 3(11). 34 indexed citations
13.
Yu, Heng, et al.. (2020). Optimizing energy efficiency of CNN-based object detection with dynamic voltage and frequency scaling. Journal of Semiconductors. 41(2). 22406–22406. 13 indexed citations
14.
Zhu, Yongxin, et al.. (2020). Millimeter wave based 3D clustered MIMO channel modeling and system simulation for vehicle-to-vehicle communication. Physical Communication. 40. 101073–101073. 2 indexed citations
15.
Sun, Hao, et al.. (2020). Efficient FPGA Implementation of K-Nearest-Neighbor Search Algorithm for 3D LIDAR Localization and Mapping in Smart Vehicles. IEEE Transactions on Circuits & Systems II Express Briefs. 67(9). 1644–1648. 25 indexed citations
16.
Zhang, Hui, Bình Thị Thanh Nguyễn, Shaobo Luo, et al.. (2020). Smart ring resonator–based sensor for multicomponent chemical analysis via machine learning. Photonics Research. 9(2). B38–B38. 37 indexed citations
17.
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Wu, Qiang, et al.. (2014). A heterogeneous platform with GPU and FPGA for power efficient high performance computing. 220–223. 15 indexed citations
19.
Yu, Heng, Bharadwaj Veeravalli, Yajun Ha, & Shaobo Luo. (2013). Dynamic Scheduling of Imprecise-Computation Tasks on Real-Time Embedded Multiprocessors. National University of Singapore. 770–777. 7 indexed citations
20.
Kumar, Akash, et al.. (2013). TRISHUL: A single-pass optimal two-level inclusive data cache hierarchy selection process for real-time MPSoCs. arXiv (Cornell University). 33. 320–325. 3 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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