Zhanghao Wu

1.6k citations
14 papers · 404 indexed · 1 hit paper · h-index 8
Topics
Perovskite Materials and Applications (7 papers)Conducting polymers and applications (5 papers)Solid-state spectroscopy and crystallography (3 papers)
Partner nations
ChinaUnited StatesIsrael

In The Last Decade

Zhanghao Wu

13 papers receiving 396 citations

Hit Papers

Enhancing Photovoltaically Preferred Orientation in Wide‐...202520262025102030

Peers

Zhanghao Wu
Comparison fields: 5 of 57
  • Electrical and Electronic Engineering 221
  • Artificial Intelligence 140
  • Computer Vision and Pattern Recognition 107
  • Polymers and Plastics 97
  • Materials Chemistry 90
Replace Yukun Ding with:
Yukun Ding United States
Mohamed M. Sabry Aly Singapore
Jaehwan Lee South Korea
Wonjun Kim South Korea
Sayed Masoud Sayedi Iran
Yanjun Liu Taiwan
Nandhini Chandramoorthy United States
C.T. Retter United States
Hiroki Sugano Japan
Gerges M. Salama Egypt
Zhanghao Wu relative to Yukun Ding United States Yukun Ding's profile →
Citations per field
00.5×6.5×
Yukun Ding · 1×
Citations per year

Countries citing papers authored by Zhanghao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhanghao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanghao Wu

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2
Enhancing Photovoltaically Preferred Orientation in Wide‐Bandgap Perovskite for Efficient All‐Perovskite Tandem Solar Cellsbreakdown →
34
3 17
4 0
5 1
6 5
7 46
8 2
9 84
10
Representing Long-Range Context for Graph Neural Networks with Global Attention
7
11 134
12 36
13 24
14 13

About Zhanghao Wu

Zhanghao Wu is a scholar working on Polymers and Plastics, Signal Processing and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 404 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (7 papers), Conducting polymers and applications (5 papers) and Solid-state spectroscopy and crystallography (3 papers). The work is most often cited by research in Polymers and Plastics (97 citations), Computer Vision and Pattern Recognition (107 citations) and Artificial Intelligence (140 citations). Zhanghao Wu has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Han Cai, Song Han, Zhijian Liu, Ligeng Zhu, Hanrui Wang, Chuang Gan, Tianshu Ma, Changlei Wang, Dewei Zhao and Yanmin Qian. Their work appears in journals such as Advanced Materials, Nature Communications and ACS Nano.

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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