Mustafa Ali

691 total citations
17 papers, 473 citations indexed

About

Mustafa Ali is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mustafa Ali has authored 17 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Mustafa Ali's work include Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and Semiconductor materials and devices (7 papers). Mustafa Ali is often cited by papers focused on Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (13 papers) and Semiconductor materials and devices (7 papers). Mustafa Ali collaborates with scholars based in United States and South Korea. Mustafa Ali's co-authors include Kaushik Roy, Amogh Agrawal, Akhilesh Jaiswal, Indranil Chakraborty, Aayush Ankit, Anand Raghunathan, Shubham Jain, Nitin Rathi, Robert Andrawis and Brian Zimmer and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Computers and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Mustafa Ali

16 papers receiving 463 citations

Peers

Mustafa Ali
Chuan-Jia Jhang Taiwan
Wei-Hsing Huang Taiwan
Sheng-Po Huang Taiwan
Leibin Ni China
Muya Chang United States
Fu-Chun Chang Taiwan
Hui-Yao Kao Taiwan
Sujan K. Gonugondla United States
Chuan-Jia Jhang Taiwan
Mustafa Ali
Citations per year, relative to Mustafa Ali Mustafa Ali (= 1×) peers Chuan-Jia Jhang

Countries citing papers authored by Mustafa Ali

Since Specialization
Citations

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

Fields of papers citing papers by Mustafa Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mustafa Ali

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

All Works

17 of 17 papers shown
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Ali, Mustafa, et al.. (2025). What, When, Where to Compute-in-Memory for Efficient Matrix Multiplication During Machine Learning Inference. IEEE Transactions on Emerging Topics in Computing. 13(3). 1215–1229. 1 indexed citations
3.
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Ali, Mustafa, et al.. (2022). Compute-in-Memory Technologies and Architectures for Deep Learning Workloads. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 30(11). 1615–1630. 20 indexed citations
5.
Dai, Steve, Rangharajan Venkatesan, Brian Zimmer, et al.. (2022). LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update. IEEE Transactions on Computers. 71(12). 3179–3190. 6 indexed citations
6.
Agrawal, Amogh, et al.. (2021). IMPULSE: A 65-nm Digital Compute-in-Memory Macro With Fused Weights and Membrane Potential for Spike-Based Sequential Learning Tasks. IEEE Solid-State Circuits Letters. 4. 137–140. 32 indexed citations
7.
Ali, Mustafa, et al.. (2021). A 35.5-127.2 TOPS/W Dynamic Sparsity-Aware Reconfigurable-Precision Compute-in-Memory SRAM Macro for Machine Learning. IEEE Solid-State Circuits Letters. 4. 129–132. 21 indexed citations
8.
Chakraborty, Indranil, et al.. (2021). Design Tools for Resistive Crossbar based Machine Learning Accelerators. 18. 1–4. 2 indexed citations
9.
Roy, Kaushik, Indranil Chakraborty, Mustafa Ali, Aayush Ankit, & Amogh Agrawal. (2020). In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview. 1–6. 53 indexed citations
10.
Jaiswal, Akhilesh, et al.. (2020). i-SRAM: Interleaved Wordlines for Vector Boolean Operations Using SRAMs. IEEE Transactions on Circuits and Systems I Regular Papers. 67(12). 4651–4659. 25 indexed citations
11.
Ali, Mustafa, et al.. (2020). IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array. IEEE Transactions on Circuits and Systems I Regular Papers. 67(8). 2521–2531. 101 indexed citations
12.
Ankit, Aayush, Indranil Chakraborty, Amogh Agrawal, Mustafa Ali, & Kaushik Roy. (2020). Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators. IEEE Micro. 40(6). 8–22. 27 indexed citations
13.
Ali, Mustafa, Amogh Agrawal, & Kaushik Roy. (2020). RAMANN. 61–66. 15 indexed citations
14.
Chakraborty, Indranil, Mustafa Ali, Aayush Ankit, et al.. (2020). Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges. Proceedings of the IEEE. 108(12). 2276–2310. 79 indexed citations
15.
Ali, Mustafa, Robert Andrawis, & Kaushik Roy. (2019). Dynamic Read Current Sensing With Amplified Bit-Line Voltage for STT-MRAMs. IEEE Transactions on Circuits & Systems II Express Briefs. 67(3). 551–555. 7 indexed citations
16.
Ali, Mustafa, Akhilesh Jaiswal, & Kaushik Roy. (2019). In-Memory Low-Cost Bit-Serial Addition Using Commodity DRAM Technology. IEEE Transactions on Circuits and Systems I Regular Papers. 67(1). 155–165. 73 indexed citations
17.
Jaiswal, Akhilesh, Amogh Agrawal, Indranil Chakraborty, Mustafa Ali, & Kaushik Roy. (2019). Digital and Analog-Mixed-Signal In-Memory Processing in CMOS SRAM. 371–371. 1 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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2026