Hanming Wu

952 citations
42 papers · 653 · h-index 15

Impact in

Papers in

Hanming Wu

40 papers receiving 632 citations

Peers

Hanming Wu
Comparison fields: 5 of 111
  • Statistics and Probability 50
  • Complementary and alternative medicine 40
  • Electrical and Electronic Engineering 255
  • Computer Vision and Pattern Recognition 79
  • Artificial Intelligence 95
Replace Hongyang Li with:
Hongyang Li China
Yuxuan Du China
Yong Liang Macao
David Nickerson New Zealand
Yiwei Zhang China
Haiyang Fang China
Yufei Liu China
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Citations per field
00.5×5.8×
Hongyang Li · 1×
Citations per year

Countries citing papers authored by Hanming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hanming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hanming Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hanming Wu Line = papers co-authored together Hanming Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200884
2 200879
3 200776
4 200837
5 201535
6 201031
7 200831
8 201329
9 201226
10 201020
11 201118
12 200716
13 201416
14
Deep understanding of AC RTN in MuGFETs through new characterization method and impacts on logic circuits
201315
15 201315
16 201514
17 201214
18 201613
19 201812
20 20209

About Hanming Wu

Hanming Wu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Molecular Biology and Artificial Intelligence, having authored 42 papers that have together received 653 indexed citations. Recurring topics across this work include Semiconductor materials and devices (22 papers), Advancements in Semiconductor Devices and Circuit Design (17 papers), Ferroelectric and Negative Capacitance Devices (9 papers), Integrated Circuits and Semiconductor Failure Analysis (6 papers), Semiconductor materials and interfaces (4 papers), Data Visualization and Analytics (4 papers), Face and Expression Recognition (3 papers) and Sensory Analysis and Statistical Methods (3 papers). The work is most often cited by research in Statistics and Probability (50 citations), Complementary and alternative medicine (40 citations), Electrical and Electronic Engineering (255 citations), Computer Vision and Pattern Recognition (79 citations) and Artificial Intelligence (95 citations). Hanming Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Chun‐Houh Chen, Yin-Jing Tien, Yangyuan Wang, Runsheng Wang, Ru Huang, Jibin Zou, Changze Liu, Gang Sui, Michael E. Phelps and S.C. Huang. Their work appears in journals such as Computational Statistics & Data Analysis, Journal of Food and Drug Analysis, IEEE Transactions on Electron Devices, BMC Genomics and IEEE Electron Device Letters.

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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