Anni Lu

35 papers receiving 900 citations

Anni Lu's Hit Papers

Compute-in-Memory Chips for Deep Learning: Recent Trends and Prospects 2021 · 244 citations
2440+1+3Years since publication50100150200

Peers

Anni Lu
Comparison fields: 5 of 71
  • Electrical and Electronic Engineering 725
  • Hardware and Architecture 66
  • Cellular and Molecular Neuroscience 107
  • Artificial Intelligence 161
  • Computer Vision and Pattern Recognition 64
Replace Amit Ranjan Trivedi with:
Amit Ranjan Trivedi United States
Chorng-Jung Lin Taiwan
Hongwu Jiang United States
Je-Min Hung Taiwan
Sheng-Po Huang Taiwan
Shanshi Huang United States
Xi Jin China
Indranil Chakraborty United States
Heiner Giefers Switzerland
Chuan-Jia Jhang Taiwan
Anni Lu relative to Amit Ranjan Trivedi United States Amit Ranjan Trivedi's profile →
Citations per field
00.5×1.5×2.2×
Amit Ranjan Trivedi · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Anni 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 Anni Lu Line = papers co-authored together Anni Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Compute-in-Memory Chips for Deep Learning: Recent Trends and Prospects
Hit paper breakdown →
2021244
2 2020207
3 202253
4 202440
5 202140
6 202138
7 202122
8 202119
9 202318
10 202417
11 202116
12 202116
13 202114
14 202214
15 202014
16 202214
17 202113
18 202413
19 202111
20 202110

About Anni Lu

Anni Lu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Materials Chemistry and Computer Networks and Communications, having authored 39 papers that have together received 906 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (26 papers), Ferroelectric and Negative Capacitance Devices (24 papers), Semiconductor materials and devices (13 papers), Advanced Neural Network Applications (8 papers), Neural Networks and Applications (3 papers), Embedded Systems Design Techniques (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (725 citations), Hardware and Architecture (66 citations), Cellular and Molecular Neuroscience (107 citations), Artificial Intelligence (161 citations) and Computer Vision and Pattern Recognition (64 citations). Anni Lu has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Shimeng Yu, Xiaochen Peng, Hongwu Jiang, Shanshi Huang, Jae Hur, Yuan-Chun Luo, Shaolan Li, Wantong Li, Asif Islam Khan and Yandong Luo. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, IEEE Transactions on Circuits and Systems I Regular Papers and IEEE Circuits and Systems Magazine.

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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