Weida Hu

34.2k total citations · 16 hit papers
430 papers, 26.0k citations indexed

About

Weida Hu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Weida Hu has authored 430 papers receiving a total of 26.0k indexed citations (citations by other indexed papers that have themselves been cited), including 302 papers in Electrical and Electronic Engineering, 220 papers in Materials Chemistry and 117 papers in Biomedical Engineering. Recurrent topics in Weida Hu's work include 2D Materials and Applications (166 papers), Advanced Semiconductor Detectors and Materials (108 papers) and Perovskite Materials and Applications (66 papers). Weida Hu is often cited by papers focused on 2D Materials and Applications (166 papers), Advanced Semiconductor Detectors and Materials (108 papers) and Perovskite Materials and Applications (66 papers). Weida Hu collaborates with scholars based in China, United States and Hong Kong. Weida Hu's co-authors include Hehai Fang, Peng Wang, Xiaohong Chen, Wei Lü, Mingsheng Long, Jianlu Wang, Lei Liao, Zhen Wang, Fang Wang and Peng Zhou and has published in prestigious journals such as Science, Physical Review Letters and Chemical Society Reviews.

In The Last Decade

Weida Hu

415 papers receiving 25.4k citations

Hit Papers

Progress, Challenges, and Opportunities for 2D Material B... 2015 2026 2018 2022 2018 2017 2015 2020 2016 400 800 1.2k

Peers

Weida Hu
Comparison fields: 5 of 120
  • Electrical and Electronic Engineering 17.8k
  • Materials Chemistry 17.7k
  • Biomedical Engineering 6.4k
  • Electronic, Optical and Magnetic Materials 4.2k
  • Atomic and Molecular Physics, and Optics 3.4k
Replace Matthias Wuttig with:
Matthias Wuttig Germany
Feng Miao China
Han Wang United States
Deji Akinwande United States
Barbaros Özyilmaz Singapore
Hilmi Volkan Demir Türkiye
Lincoln J. Lauhon United States
Eric Pop United States
Anlian Pan China
Fengnian Xia United States
Matthias Wuttig Germany View profile →
Citations per field, relative to Weida Hu
Weida Hu · 1×
Citations per year, relative to Weida Hu
Weida Hu · 1×

Countries citing papers authored by Weida Hu

Since Specialization
Citations

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

Fields of papers citing papers by Weida Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weida Hu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 2
4 1
5 1
6 67
7 1
8 25
9 6
10 0
11
On-chip optoelectronic logic gates operating in the telecom band breakdown →
112
12 27
13 4
14 13
15 40
16 10
17 3
18 19
19 72
20 1

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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