Fuxi Cai

3.9k total citations · 5 hit papers
20 papers, 3.0k citations indexed

About

Fuxi Cai is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fuxi Cai has authored 20 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 5 papers in Polymers and Plastics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fuxi Cai's work include Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and CCD and CMOS Imaging Sensors (5 papers). Fuxi Cai is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (7 papers) and CCD and CMOS Imaging Sensors (5 papers). Fuxi Cai collaborates with scholars based in United States, Hong Kong and Australia. Fuxi Cai's co-authors include Wei Lü, Chao Du, Seung Hwan Lee, Wen Ma, Zhengya Zhang, Wen Ma, Mohammed A. Zidan, Patrick Sheridan, Michael P. Flynn and Justin M. Correll and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Fuxi Cai

20 papers receiving 2.9k citations

Hit Papers

Reservoir computing using dynamic memristors for temporal... 2017 2026 2020 2023 2017 2019 2017 2019 2020 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuxi Cai United States 12 2.8k 1.2k 898 772 217 20 3.0k
Seung Hwan Lee United States 17 2.4k 0.9× 983 0.8× 606 0.7× 625 0.8× 244 1.1× 36 2.6k
Yunning Li United States 14 3.6k 1.3× 709 0.6× 1.5k 1.7× 720 0.9× 322 1.5× 18 3.8k
Rathinakumar Appuswamy United States 8 3.3k 1.2× 1.2k 1.0× 1.2k 1.3× 1.1k 1.5× 192 0.9× 13 3.6k
Jun Sawada United States 8 3.9k 1.4× 1.3k 1.1× 1.4k 1.5× 1.3k 1.7× 197 0.9× 9 4.2k
Ivan Vo United States 6 2.7k 1.0× 854 0.7× 1.1k 1.2× 892 1.2× 183 0.8× 12 2.9k
Farshad Merrikh‐Bayat Iran 16 2.5k 0.9× 593 0.5× 1.2k 1.3× 435 0.6× 357 1.6× 45 3.1k
Wenqiang Zhang China 17 4.3k 1.5× 1.0k 0.8× 1.5k 1.7× 706 0.9× 451 2.1× 41 4.6k
Noraica Dávila United States 17 2.8k 1.0× 509 0.4× 1.1k 1.2× 426 0.6× 314 1.4× 23 2.9k
Wenhao Song United States 19 3.9k 1.4× 845 0.7× 1.7k 1.9× 927 1.2× 469 2.2× 47 4.2k
Wen Ma United States 12 1.7k 0.6× 597 0.5× 755 0.8× 529 0.7× 235 1.1× 15 2.0k

Countries citing papers authored by Fuxi Cai

Since Specialization
Citations

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

Fields of papers citing papers by Fuxi Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuxi Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Fuxi Cai. A scholar is included among the top collaborators of Fuxi Cai 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 Fuxi Cai. Fuxi Cai 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.
Song, Wenhao, Tong Wang, Yichun Xu, et al.. (2025). Real-time signal processing enabled by fused networks on a memristor-based system on a chip. Science Advances. 11(30). eadv3436–eadv3436. 1 indexed citations
2.
Cai, Fuxi, et al.. (2022). A Fully Integrated System‐on‐Chip Design with Scalable Resistive Random‐Access Memory Tile Design for Analog in‐Memory Computing. SHILAP Revista de lepidopterología. 4(8). 13 indexed citations
3.
Correll, Justin M., Fuxi Cai, Yong Lim, et al.. (2020). A Fully Integrated Reprogrammable CMOS-RRAM Compute-in-Memory Coprocessor for Neuromorphic Applications. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 6(1). 36–44. 26 indexed citations
4.
Cai, Fuxi, Suhas Kumar, Thomas Van Vaerenbergh, et al.. (2020). Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks. Nature Electronics. 3(7). 409–418. 284 indexed citations breakdown →
5.
Moon, J. W., Wen Ma, Jong Hoon Shin, et al.. (2019). Temporal data classification and forecasting using a memristor-based reservoir computing system. Nature Electronics. 2(10). 480–487. 485 indexed citations breakdown →
6.
Cai, Fuxi, Justin M. Correll, Seung Hwan Lee, et al.. (2019). A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations. Nature Electronics. 2(7). 290–299. 565 indexed citations breakdown →
7.
Cai, Fuxi & Wei Lü. (2018). Feature extraction and analysis using memristor networks. 1–4. 6 indexed citations
8.
Sheridan, Patrick, Fuxi Cai, Chao Du, et al.. (2017). Sparse coding with memristor networks. Nature Nanotechnology. 12(8). 784–789. 506 indexed citations breakdown →
9.
Du, Chao, Fuxi Cai, Mohammed A. Zidan, et al.. (2017). Reservoir computing using dynamic memristors for temporal information processing. Nature Communications. 8(1). 2204–2204. 766 indexed citations breakdown →
10.
11.
Zhou, Jiantao, et al.. (2016). Very Low-Programming-Current RRAM With Self-Rectifying Characteristics. IEEE Electron Device Letters. 37(4). 404–407. 102 indexed citations
12.
Ma, Wen, Fuxi Cai, Chao Du, et al.. (2016). Device nonideality effects on image reconstruction using memristor arrays. 16.7.1–16.7.4. 14 indexed citations
13.
Liu, Che‐Hung, You-Chia Chang, Fuxi Cai, et al.. (2016). High Responsivity Graphene-SOI Heterojunction Photodetectors and Imaging Array. Conference on Lasers and Electro-Optics. STu4F.2–STu4F.2. 2 indexed citations
14.
Chen, Lin, et al.. (2015). Vertical Ge/Si Core/Shell Nanowire Junctionless Transistor. Nano Letters. 16(1). 420–426. 42 indexed citations
15.
Chen, Bing, Fuxi Cai, Jiantao Zhou, et al.. (2015). Efficient in-memory computing architecture based on crossbar arrays. 17.5.1–17.5.4. 108 indexed citations
16.
Cai, Fuxi, et al.. (2014). A comparison study on hydrogen sensing performance of MoO3 nanoplatelets coated with a thin layer of Ta2O5 or La2O3. The HKU Scholars Hub (University of Hong Kong). 2 indexed citations
17.
Yu, Jihyeon, Fuxi Cai, Mahnaz Shafiei, et al.. (2014). A Comparison Study on Hydrogen Sensing Performance of MoO3 Nanoplatelets Coated with a Thin Layer of Ta2O5 or La2O3. Swinburne Research Bank (Swinburne University of Technology). 17(1). 31–38. 1 indexed citations
18.
Gaba, Siddharth, Fuxi Cai, Jiantao Zhou, & Wei Lü. (2014). Ultralow Sub-1-nA Operating Current Resistive Memory With Intrinsic Non-Linear Characteristics. IEEE Electron Device Letters. 35(12). 1239–1241. 35 indexed citations
19.
Yu, J., et al.. (2013). A novel hydrogen sensor based on Pt/WO<inf>3</inf>/Si MIS Schottky diode. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1–2. 1 indexed citations
20.
Yu, J., Fuxi Cai, Mahnaz Shafiei, et al.. (2013). A comparison study on hydrogen sensing performance of Pt/MoO<inf>3</inf> nanoplatelets coated with a thin layer of Ta<inf>2</inf>O<inf>5</inf> or La<inf>2</inf>O<inf>3</inf>. The HKU Scholars Hub (University of Hong Kong). 94. 191–194. 5 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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