Anni Lu

1.2k total citations · 1 hit paper
36 papers, 792 citations indexed

About

Anni Lu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Anni Lu has authored 36 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Anni Lu's work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (24 papers) and Semiconductor materials and devices (13 papers). Anni Lu is often cited by papers focused on Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (24 papers) and Semiconductor materials and devices (13 papers). Anni Lu collaborates with scholars based in United States, China and New Zealand. Anni Lu's co-authors include Shimeng Yu, Xiaochen Peng, Hongwu Jiang, Shanshi Huang, Yuan-Chun Luo, Jae Hur, Shaolan Li, Wantong Li, Asif Islam Khan and Yandong Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Letters and IEEE Electron Device Letters.

In The Last Decade

Anni Lu

32 papers receiving 785 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Compute-in-Memory Chips for Deep Learning: Recent Trends and Prospects

2021 224 citations Shimeng Yu, Hongwu Jiang et al. IEEE Circuits and Systems Magazine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anni Lu United States	14	667	152	107	75	62	36	792
Indranil Chakraborty United States	15	680 1.0×	202 1.3×	105 1.0×	73 1.0×	63 1.0×	36	815
Je-Min Hung Taiwan	12	744 1.1×	138 0.9×	92 0.9×	42 0.6×	123 2.0×	15	815
Heiner Giefers Switzerland	10	441 0.7×	139 0.9×	101 0.9×	76 1.0×	107 1.7×	28	561
Sheng-Po Huang Taiwan	7	579 0.9×	100 0.7×	87 0.8×	32 0.4×	64 1.0×	10	631
Chuan-Jia Jhang Taiwan	9	593 0.9×	118 0.8×	91 0.9×	32 0.4×	85 1.4×	14	649
Wooseok Yi South Korea	8	429 0.6×	141 0.9×	47 0.4×	54 0.7×	54 0.9×	16	542
Weier Wan United States	9	877 1.3×	204 1.3×	229 2.1×	106 1.4×	51 0.8×	16	947
Debjyoti Bhattacharjee Singapore	13	389 0.6×	116 0.8×	104 1.0×	25 0.3×	89 1.4×	41	599
Yen-Kai Chen Taiwan	7	474 0.7×	92 0.6×	76 0.7×	29 0.4×	42 0.7×	11	547
Amogh Agrawal United States	15	673 1.0×	136 0.9×	56 0.5×	25 0.3×	132 2.1×	32	774

Countries citing papers authored by Anni Lu

Since Specialization

Citations

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

Fields of papers citing papers by Anni Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anni Lu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lu, Anni, et al.. (2024). Digital CIM with Noisy SRAM Bit: A Compact Clustered Annealer for Large-Scale Combinatorial Optimization. 1–6. 1 indexed citations

Lu, Anni, et al.. (2024). NeuroSim V1.4: Extending Technology Support for Digital Compute-in-Memory Toward 1nm Node. IEEE Transactions on Circuits and Systems I Regular Papers. 71(4). 1733–1744. 8 indexed citations

Luo, Yuan-Chun, Anni Lu, Jorge Gómez, et al.. (2024). Thermally Constrained Codesign of Heterogeneous 3-D Integration of Compute-in-Memory, Digital ML Accelerator, and RISC-V Cores for Mixed ML and Non-ML Workloads. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(9). 1718–1725. 1 indexed citations

Luo, Yuan-Chun, Anni Lu, Yandong Luo, et al.. (2024). Endurance-Aware Compiler for 3-D Stackable FeRAM as Global Buffer in TPU-Like Architecture. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(9). 1696–1703.

Luo, Yuan-Chun, et al.. (2024). A Cross-layer Framework for Design Space and Variation Analysis of Non-Volatile Ferroelectric Capacitor-Based Compute-in-Memory Accelerators. 159–164. 5 indexed citations

Duan, Jiahui, Yixin Xu, Zijian Zhao, et al.. (2024). Variation Tolerant and Energy-Efficient Charge Domain Compute-in-Memory Array with Binary and Multi-Level Cell Ferroelectric FET. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–4.

Lu, Anni, et al.. (2024). ERBB3 targeting: A promising approach to overcoming cancer therapeutic resistance. Cancer Letters. 599. 217146–217146. 5 indexed citations

Lu, Anni, et al.. (2024). A Heterogeneous Platform for 3D NAND-Based In-Memory Hyperdimensional Computing Engine for Genome Sequencing Applications. IEEE Transactions on Circuits and Systems I Regular Papers. 71(4). 1628–1637. 4 indexed citations

Lu, Anni, et al.. (2024). High-speed emerging memories for AI hardware accelerators. 1(1). 24–34. 37 indexed citations

10.

Wan, Zishen, et al.. (2024). Benchmarking Test-Time DNN Adaptation at Edge with Compute-In-Memory. 1(3). 1–26.

11.

Lu, Anni, Jae Hur, Yuan-Chun Luo, et al.. (2023). Scalable In-Memory Clustered Annealer With Temporal Noise of Charge Trap Transistor for Large Scale Travelling Salesman Problems. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13(1). 422–435. 6 indexed citations

12.

Lee, Minah, et al.. (2023). CLUE: Cross-Layer Uncertainty Estimator for Reliable Neural Perception using Processing-in-Memory Accelerators. 1–8. 1 indexed citations

13.

Lu, Anni, Jae Hur, Yuan-Chun Luo, et al.. (2022). Scalable In-Memory Clustered Annealer with Temporal Noise of FinFET for the Travelling Salesman Problem. 2022 International Electron Devices Meeting (IEDM). 22.5.1–22.5.4. 8 indexed citations

14.

Choe, Gihun, Anni Lu, Jae Hur, et al.. (2022). Machine Learning Assisted Statistical Variation Analysis of Ferroelectric Transistors: From Experimental Metrology to Predictive Modeling. 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits). 336–337. 13 indexed citations

15.

Luo, Yuan-Chun, Anni Lu, Jae Hur, Shaolan Li, & Shimeng Yu. (2021). Design and Optimization of Non-Volatile Capacitive Crossbar Array for In-Memory Computing. IEEE Transactions on Circuits & Systems II Express Briefs. 69(3). 784–788. 10 indexed citations

16.

Lu, Anni, et al.. (2021). Genetic Algorithm-Based Energy-Aware CNN Quantization for Processing-In-Memory Architecture. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 11(4). 649–662. 13 indexed citations

17.

Yu, Shimeng, Hongwu Jiang, Shanshi Huang, Xiaochen Peng, & Anni Lu. (2021). Compute-in-Memory Chips for Deep Learning: Recent Trends and Prospects. IEEE Circuits and Systems Magazine. 21(3). 31–56. 224 indexed citations breakdown →

18.

Lu, Anni, Xiaochen Peng, Wantong Li, Hongwu Jiang, & Shimeng Yu. (2021). NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark. Frontiers in Artificial Intelligence. 4. 659060–659060. 38 indexed citations

19.

Luo, Yandong, et al.. (2021). Robust Processing-In-Memory With Multibit ReRAM Using Hessian-Driven Mixed-Precision Computation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(4). 1006–1019. 15 indexed citations

20.

Peng, Xiaochen, Shanshi Huang, Hongwu Jiang, Anni Lu, & Shimeng Yu. (2020). DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(11). 2306–2319. 185 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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