Tianyi Lu

769 total citations
22 papers, 572 citations indexed

About

Tianyi Lu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Tianyi Lu has authored 22 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Tianyi Lu's work include Advanced Neural Network Applications (5 papers), Advanced Battery Materials and Technologies (3 papers) and Advanced Memory and Neural Computing (3 papers). Tianyi Lu is often cited by papers focused on Advanced Neural Network Applications (5 papers), Advanced Battery Materials and Technologies (3 papers) and Advanced Memory and Neural Computing (3 papers). Tianyi Lu collaborates with scholars based in China and United States. Tianyi Lu's co-authors include E. Solis-Ramos, Yun–Bo Yi, M. Kumosa, Shouyi Yin, Leibo Liu, Shaojun Wei, Peng Ouyang, Xiudong Li, Fengbin Tu and Shixuan Zheng and has published in prestigious journals such as Langmuir, Composites Science and Technology and IEEE Journal of Solid-State Circuits.

In The Last Decade

Tianyi Lu

20 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tianyi Lu China	10	251	152	112	87	82	22	572
Slaviša Jovanović France	12	233 0.9×	31 0.2×	84 0.8×	41 0.5×	54 0.7×	39	458
Bohao Li China	14	178 0.7×	114 0.8×	44 0.4×	98 1.1×	43 0.5×	42	594
Rong Luo China	17	503 2.0×	26 0.2×	36 0.3×	46 0.5×	69 0.8×	102	840
You Zhou China	14	230 0.9×	87 0.6×	217 1.9×	83 1.0×	78 1.0×	47	825
Qihui Zhang China	16	554 2.2×	36 0.2×	35 0.3×	23 0.3×	78 1.0×	60	915
Mumtaj Begam Malaysia	15	389 1.5×	63 0.4×	52 0.5×	83 1.0×	80 1.0×	54	678
Shidong Liu China	14	115 0.5×	69 0.5×	217 1.9×	27 0.3×	93 1.1×	44	593
Inho Lee South Korea	14	121 0.5×	60 0.4×	61 0.5×	13 0.1×	123 1.5×	76	581
R Karthik India	13	181 0.7×	36 0.2×	108 1.0×	22 0.3×	127 1.5×	67	576
Chuanpeng Li China	16	68 0.3×	22 0.1×	47 0.4×	54 0.6×	177 2.2×	45	721

Countries citing papers authored by Tianyi Lu

Since Specialization

Citations

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

Fields of papers citing papers by Tianyi Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianyi Lu

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

All Works

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20 of 20 papers shown

Zheng, Shan, et al.. (2024). A Deep Learning-based Model for P2P Microloan Default Risk Prediction. 11(5). 110–120. 1 indexed citations

Han, Fei, et al.. (2024). A Feature Selection Method Based on Feature-Label Correlation Information and Self-Adaptive MOPSO. Neural Processing Letters. 56(2). 7 indexed citations

Wang, Xiaolei, et al.. (2023). A ECA Fusion Smoke Detection Algorithm and Prototype Based on Improved YOLOv8. 110–115.

Lu, Tianyi, Junjie Zhang, Lin Yi, & Dan Zeng. (2022). Mask-guided infrared small multi-target detection via coarse-to-fine candidate selection. Optical and Quantum Electronics. 55(1). 4 indexed citations

Lu, Tianyi. (2022). Research on A 93.56 FO4(1V), 141.36 Eu(1V) 4-bit Absolute-Value Detector Based on CMOS transistor. Highlights in Science Engineering and Technology. 27. 450–456.

Lu, Tianyi, et al.. (2022). Realizing outstanding electrochemical performance with Na₃V₂(PO₄)₂F₃ modified with an ionic liquid for sodium-ion batteries. RSC Advances. 12(22). 14007–14017. 22 indexed citations

Sun, Liangliang, et al.. (2021). Research on steelmaking-continuous casting production scheduling problem with uncertain processing time based on Lagrangian relaxation framework. International Journal of Automation and Control. 16(1). 87–87. 2 indexed citations

Lu, Tianyi, et al.. (2021). A Framework of AI-based Intelligent Adaptive Tutoring System. 726–731. 1 indexed citations

Liang, Shuang, Xuefei Ning, Shulin Zeng, et al.. (2021). Efficient Computing Platform Design for Autonomous Driving Systems. 734–741. 2 indexed citations

10.

Lu, Tianyi, et al.. (2021). Zwitterionic polymer-derived nitrogen and sulfur co-doped carbon-coated Na₃V₂(PO₄)₂F₃ as a cathode material for sodium ion battery energy storage. New Journal of Chemistry. 45(41). 19391–19401. 24 indexed citations

11.

Li, Jiajia, Tianyi Lu, Ziwei Zhao, et al.. (2020). Preparation of heterostructured ternary Cd/CdS/BiOCl photocatalysts for enhanced visible-light photocatalytic degradation of organic pollutants in wastewater. Inorganic Chemistry Communications. 121. 108236–108236. 27 indexed citations

12.

Myerson, Rebecca, Tianyi Lu, Yong Yuan, & Gordon Liu. (2019). The impact of government income transfers on tobacco and alcohol use: Evidence from China. Economics Letters. 186. 108855–108855. 2 indexed citations

13.

Yin, Shouyi, Peng Ouyang, Tianyi Lu, et al.. (2018). An Energy-Efficient Reconfigurable Processor for Binary-and Ternary-Weight Neural Networks With Flexible Data Bit Width. IEEE Journal of Solid-State Circuits. 54(4). 1120–1136. 46 indexed citations

14.

Yin, Shouyi, et al.. (2018). Bit-Level Disturbance-Aware Memory Partitioning for Parallel Data Access for MLC STT-RAM. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26(11). 2345–2357. 2 indexed citations

15.

Yin, Shouyi, Peng Ouyang, Tianyi Lu, et al.. (2018). An Ultra-High Energy-Efficient Reconfigurable Processor for Deep Neural Networks with Binary/Ternary Weights in 28NM CMOS. 23 indexed citations

16.

Lu, Tianyi, E. Solis-Ramos, Yun–Bo Yi, & M. Kumosa. (2018). UV degradation model for polymers and polymer matrix composites. Polymer Degradation and Stability. 154. 203–210. 175 indexed citations

17.

Lu, Tianyi, Jun Du, & Jianxin Jiao. (2018). Operating Data-driven Predictive Analytics for Tele-diagnosis of Refrigeration Systems: A Case Study. 1647–1651. 2 indexed citations

18.

Yin, Shouyi, Peng Ouyang, Shibin Tang, et al.. (2017). A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications. IEEE Journal of Solid-State Circuits. 53(4). 968–982. 166 indexed citations

19.

Yin, Shouyi, et al.. (2017). Conflict-Free Loop Mapping for Coarse-Grained Reconfigurable Architecture with Multi-Bank Memory. IEEE Transactions on Parallel and Distributed Systems. 28(9). 2471–2485. 15 indexed citations

20.

Yin, Shouyi, et al.. (2016). Joint loop mapping and data placement for coarse-grained reconfigurable architecture with multi-bank memory. 1–8. 6 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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