Chuan-Jia Jhang

982 total citations
14 papers, 649 citations indexed

About

Chuan-Jia Jhang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chuan-Jia Jhang has authored 14 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 2 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Chuan-Jia Jhang's work include Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (12 papers) and Semiconductor materials and devices (11 papers). Chuan-Jia Jhang is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Ferroelectric and Negative Capacitance Devices (12 papers) and Semiconductor materials and devices (11 papers). Chuan-Jia Jhang collaborates with scholars based in Taiwan, China and United States. Chuan-Jia Jhang's co-authors include Meng‐Fan Chang, Je-Min Hung, Fu-Chun Chang, Cheng-Xin Xue, Win-San Khwa, Sheng-Po Huang, Kea‐Tiong Tang, Yu-Der Chih, Tsung-Yung Jonathan Chang and Ren-Shuo Liu and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and IEEE Journal of Solid-State Circuits.

In The Last Decade

Chuan-Jia Jhang

13 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chuan-Jia Jhang Taiwan	9	593	118	91	85	54	14	649
Fu-Chun Chang Taiwan	11	687 1.2×	130 1.1×	84 0.9×	109 1.3×	84 1.6×	13	766
Sheng-Po Huang Taiwan	7	579 1.0×	100 0.8×	87 1.0×	64 0.8×	69 1.3×	10	631
Je-Min Hung Taiwan	12	744 1.3×	138 1.2×	92 1.0×	123 1.4×	71 1.3×	15	815
Anni Lu United States	14	667 1.1×	152 1.3×	107 1.2×	62 0.7×	58 1.1×	36	792
Hongwu Jiang United States	14	734 1.2×	179 1.5×	134 1.5×	96 1.1×	75 1.4×	26	819
Amogh Agrawal United States	15	673 1.1×	136 1.2×	56 0.6×	132 1.6×	53 1.0×	32	774
Chin-I Su Taiwan	8	437 0.7×	73 0.6×	83 0.9×	44 0.5×	47 0.9×	10	476
Heiner Giefers Switzerland	10	441 0.7×	139 1.2×	101 1.1×	107 1.3×	32 0.6×	28	561
Chorng-Jung Lin Taiwan	8	766 1.3×	99 0.8×	145 1.6×	78 0.9×	51 0.9×	9	804
Rawan Naous Saudi Arabia	12	777 1.3×	135 1.1×	171 1.9×	162 1.9×	60 1.1×	21	851

Countries citing papers authored by Chuan-Jia Jhang

Since Specialization

Citations

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

Fields of papers citing papers by Chuan-Jia Jhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuan-Jia Jhang. 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 Chuan-Jia Jhang. The network helps show where Chuan-Jia Jhang may publish in the future.

Co-authorship network of co-authors of Chuan-Jia Jhang

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

All Works

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14 of 14 papers shown

Khwa, Win-San, Jui-Jen Wu, Chuan-Jia Jhang, et al.. (2024). A 22nm Nonvolatile AI-Edge Processor with 21.4TFLOPS/W using 47.25Mb Lossless-Compressed-Computing STT-MRAM Near-Memory-Compute Macro. 1–2. 3 indexed citations

Wen, Tai-Hao, Je-Min Hung, Wei-Hsing Huang, et al.. (2024). Fusion of memristor and digital compute-in-memory processing for energy-efficient edge computing. Science. 384(6693). 325–332. 47 indexed citations

Jhang, Chuan-Jia, Win-San Khwa, Ping-Chun Wu, et al.. (2024). A 22 nm 10.03-237.99 TOPS/W Time-Digital-Hybrid SRAM Compute-in-Memory AI Accelerator for GNN Edge Device Applications. 1(1). 15–25. 1 indexed citations

Wu, Ping-Chun, Win-San Khwa, Jui-Jen Wu, et al.. (2024). An Integer-Floating-Point Dual-Mode Gain-Cell Computing-in-Memory Macro for Advanced AI Edge Chips. IEEE Journal of Solid-State Circuits. 60(1). 158–170. 1 indexed citations

Huang, Wei‐Hsing, Tai-Hao Wen, Je-Min Hung, et al.. (2023). A Nonvolatile Al-Edge Processor with 4MB SLC-MLC Hybrid-Mode ReRAM Compute-in-Memory Macro and 51.4-251TOPS/W. 15–17. 43 indexed citations

Hsu, Hung-Hsi, Tai-Hao Wen, Wei‐Hsing Huang, et al.. (2023). A Nonvolatile AI-Edge Processor With SLC–MLC Hybrid ReRAM Compute-in-Memory Macro Using Current–Voltage-Hybrid Readout Scheme. IEEE Journal of Solid-State Circuits. 59(1). 116–127. 17 indexed citations

Hsu, Hung-Hsi, et al.. (2023). Challenges in Circuits of Nonvolatile Compute-In-Memory for Edge AI Chips. 98–102.

Khwa, Win-San, Yen-Cheng Chiu, Chuan-Jia Jhang, et al.. (2022). A 40-nm, 2M-Cell, 8b-Precision, Hybrid SLC-MLC PCM Computing-in-Memory Macro with 20.5 - 65.0TOPS/W for Tiny-Al Edge Devices. 2022 IEEE International Solid- State Circuits Conference (ISSCC). 1–3. 85 indexed citations

Xue, Cheng-Xin, Je-Min Hung, Hui-Yao Kao, et al.. (2021). 16.1 A 22nm 4Mb 8b-Precision ReRAM Computing-in-Memory Macro with 11.91 to 195.7TOPS/W for Tiny AI Edge Devices. 245–247. 143 indexed citations

10.

Hung, Je-Min, Chuan-Jia Jhang, Ping-Chun Wu, Yen-Cheng Chiu, & Meng‐Fan Chang. (2021). Challenges and Trends of Nonvolatile In-Memory-Computation Circuits for AI Edge Devices. SHILAP Revista de lepidopterología. 1. 171–183. 40 indexed citations

11.

Jhang, Chuan-Jia, Cheng-Xin Xue, Je-Min Hung, Fu-Chun Chang, & Meng‐Fan Chang. (2021). Challenges and Trends of SRAM-Based Computing-In-Memory for AI Edge Devices. IEEE Transactions on Circuits and Systems I Regular Papers. 68(5). 1773–1786. 170 indexed citations

12.

Jhang, Chuan-Jia, et al.. (2021). Challenges of Computation-in-Memory Circuits for AI Edge Applications. 1–2. 3 indexed citations

13.

Hung, Je-Min, Cheng-Xin Xue, Hui-Yao Kao, et al.. (2021). A four-megabit compute-in-memory macro with eight-bit precision based on CMOS and resistive random-access memory for AI edge devices. Nature Electronics. 4(12). 921–930. 86 indexed citations

14.

Wei, Wei-Chen, Chuan-Jia Jhang, Yiren Chen, et al.. (2020). A Relaxed Quantization Training Method for Hardware Limitations of Resistive Random Access Memory (ReRAM)-Based Computing-in-Memory. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 6(1). 45–52. 10 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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