Dabin Wu

942 total citations · 1 hit paper
7 papers, 636 citations indexed

About

Dabin Wu is a scholar working on Electrical and Electronic Engineering, Virology and Control and Systems Engineering. According to data from OpenAlex, Dabin Wu has authored 7 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 1 paper in Virology and 1 paper in Control and Systems Engineering. Recurrent topics in Dabin Wu's work include Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Semiconductor materials and devices (2 papers). Dabin Wu is often cited by papers focused on Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Semiconductor materials and devices (2 papers). Dabin Wu collaborates with scholars based in China, United States and France. Dabin Wu's co-authors include Sukru Burc Eryilmaz, Siddharth Joshi, Wenqiang Zhang, Bin Gao, Priyanka Raina, Stephen Deiss, H.‐S. Philip Wong, Weier Wan, Rajkumar Kubendran and Huaqiang Wu and has published in prestigious journals such as Nature, Addictive Behaviors and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Dabin Wu

6 papers receiving 622 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.

A compute-in-memory chip based on resistive random-access memory

2022 511 citations Weier Wan, Rajkumar Kubendran et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dabin Wu China	4	578	163	137	73	60	7	636
Kyung Seok Woo South Korea	14	518 0.9×	159 1.0×	171 1.2×	112 1.5×	62 1.0×	26	562
Hanchan Song South Korea	12	456 0.8×	214 1.3×	84 0.6×	71 1.0×	29 0.5×	27	480
Justin M. Correll United States	5	623 1.1×	237 1.5×	119 0.9×	107 1.5×	52 0.9×	6	646
Guanrui Wang China	9	446 0.8×	135 0.8×	153 1.1×	131 1.8×	94 1.6×	17	554
Sangheon Oh United States	10	441 0.8×	161 1.0×	108 0.8×	85 1.2×	64 1.1×	27	485
Runze Han China	14	595 1.0×	211 1.3×	66 0.5×	55 0.8×	58 1.0×	31	621
Weier Wan United States	9	877 1.5×	229 1.4×	204 1.5×	110 1.5×	106 1.8×	16	947
Thomas Dalgaty France	13	400 0.7×	125 0.8×	142 1.0×	131 1.8×	25 0.4×	26	468
Mamathamba Kalishettyhalli Mahadevaiah Germany	13	577 1.0×	214 1.3×	70 0.5×	60 0.8×	45 0.8×	33	592
Siyan Lin China	7	348 0.6×	120 0.7×	57 0.4×	70 1.0×	73 1.2×	19	432

Countries citing papers authored by Dabin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Dabin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dabin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dabin Wu. A scholar is included among the top collaborators of Dabin Wu 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 Dabin Wu. Dabin Wu 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:

7 of 7 papers shown

1.

He, Hu, Liyang Pan, Bin Gao, et al.. (2023). An Error-Free 64KB ReRAM-Based nvSRAM Integrated to a Microcontroller Unit Supporting Real-Time Program Storage and Restoration. IEEE Transactions on Circuits and Systems I Regular Papers. 70(12). 5339–5351. 3 indexed citations

2.

Wan, Weier, Rajkumar Kubendran, Clemens Schaefer, et al.. (2022). A compute-in-memory chip based on resistive random-access memory. Nature. 608(7923). 504–512. 511 indexed citations breakdown →

3.

Gao, Bin, Jianshi Tang, Dabin Wu, et al.. (2021). HARNS: High-level Architectural Model of RRAM based Computing-in-memory NPU. 35–36. 2 indexed citations

4.

Wan, Weier, Rajkumar Kubendran, Sukru Burc Eryilmaz, et al.. (2020). 33.1 A 74 TMACS/W CMOS-RRAM Neurosynaptic Core with Dynamically Reconfigurable Dataflow and In-situ Transposable Weights for Probabilistic Graphical Models. 498–500. 106 indexed citations

5.

Pan, Liyang, Bin Gao, Dabin Wu, et al.. (2020). A Novel Page-Forming Scheme with Ultra-Low Bit-Error-Rate and High Reliability on a 1Mb RRAM Chip. 1–3. 2 indexed citations

6.

Wu, Dabin, et al.. (2012). Can China MV networks also benefit from the latest 2SIS fixed MV switchgear technology?. 1–4. 1 indexed citations

7.

Chamla, Dick, et al.. (2005). Transition to injection and sharing of needles/syringes: Potential for HIV transmission among heroin users in Chengdu, China. Addictive Behaviors. 31(4). 697–701. 11 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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