W. Wang

567 total citations
9 papers, 441 citations indexed

About

W. Wang is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Civil and Structural Engineering. According to data from OpenAlex, W. Wang has authored 9 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 4 papers in Hardware and Architecture and 2 papers in Civil and Structural Engineering. Recurrent topics in W. Wang's work include Advanced Memory and Neural Computing (4 papers), Parallel Computing and Optimization Techniques (2 papers) and Ferroelectric and Negative Capacitance Devices (2 papers). W. Wang is often cited by papers focused on Advanced Memory and Neural Computing (4 papers), Parallel Computing and Optimization Techniques (2 papers) and Ferroelectric and Negative Capacitance Devices (2 papers). W. Wang collaborates with scholars based in Canada, China and Hong Kong. W. Wang's co-authors include Konrad Walus, G.A. Jullien, Rui Zhang, Mehrdad Moallem, Han Hong, Hong Peng, Biao Pan, Bojun Cheng, Zihan Yuan and Jiaqi Chen and has published in prestigious journals such as Engineering Structures, Journal of Structural Engineering and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

W. Wang

8 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W. Wang Canada	6	353	348	179	47	34	9	441
Subodh Wairya India	13	350 1.0×	213 0.6×	40 0.2×	76 1.6×	4 0.1×	66	470
Lucian Prodan Romania	10	89 0.3×	40 0.1×	34 0.2×	111 2.4×	6 0.2×	53	229
O. Nys Switzerland	11	671 1.9×	54 0.2×	55 0.3×	64 1.4×	9 0.3×	23	702
J.R. Hellums United States	10	521 1.5×	69 0.2×	61 0.3×	52 1.1×	4 0.1×	16	557
Zhufei Chu China	10	200 0.6×	88 0.3×	19 0.1×	33 0.7×	7 0.2×	61	248
E. Christen United States	6	182 0.5×	67 0.2×	18 0.1×	9 0.2×	59 1.7×	14	274
S.S. Mahant-Shetti United States	8	241 0.7×	38 0.1×	32 0.2×	54 1.1×	24 0.7×	20	330
Nuno A. Silva Portugal	10	168 0.5×	26 0.1×	128 0.7×	212 4.5×	28 0.8×	70	319
Liming Xiu United States	12	403 1.1×	91 0.3×	17 0.1×	13 0.3×	7 0.2×	40	458
Pen-Min Lin United States	7	254 0.7×	55 0.2×	11 0.1×	21 0.4×	33 1.0×	11	300

Countries citing papers authored by W. Wang

Since Specialization

Citations

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

Fields of papers citing papers by W. Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Wang

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

9 of 9 papers shown

1.

Wang, W., et al.. (2025). A 24.65 TOPS/W@INT8 Hybrid Analog-Digital Multi-core SRAM CIM Macro with Optimal Weight Dividing and Resource Allocation Strategies. 663–668.

2.

Wang, W., et al.. (2024). PipeCIM: A High-Throughput Computing-In-Memory Microprocessor With Nested Pipeline and RISC-V Extended Instructions. IEEE Transactions on Circuits and Systems I Regular Papers. 71(7). 3214–3227. 1 indexed citations

3.

Wang, W., et al.. (2024). RDCIM: RISC-V Supported Full-Digital Computing-in-Memory Processor With High Energy Efficiency and Low Area Overhead. IEEE Transactions on Circuits and Systems I Regular Papers. 71(4). 1719–1732. 6 indexed citations

4.

Hong, Han, Hong Peng, & W. Wang. (2010). Reliability of steel frames designed in accordance with the National Building Code of Canada seismic provisions and its implication in codified design. Engineering Structures. 32(5). 1284–1291. 13 indexed citations

5.

Walus, Konrad, et al.. (2005). Circuit design based on majority gates for applications with quantum-dot cellular automata. 2. 1354–1357. 63 indexed citations

6.

Yang, Yanping, et al.. (2005). Efficient Multi-Prime RSA Immune against Hardware Fault Attack. 97. 4649–4652. 1 indexed citations

7.

Moallem, Mehrdad, et al.. (2004). Efficient implementation of PID control algorithm using FPGA technology. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). 4885–4890 Vol.5. 45 indexed citations

8.

Zhang, Rui, Konrad Walus, W. Wang, & G.A. Jullien. (2004). A Method of Majority Logic Reduction for Quantum Cellular Automata. IEEE Transactions on Nanotechnology. 3(4). 443–450. 307 indexed citations

9.

Wang, W. & Han Hong. (2002). Appraisal of Reciprocal Load Method for Reinforced Concrete Columns of Normal and High Strength Concrete. Journal of Structural Engineering. 128(11). 1480–1486. 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.

Explore authors with similar magnitude of impact