Junhao Zhu

569 citations
37 papers · 367 indexed · h-index 12
Topics
Advanced Measurement and Metrology Techniques (12 papers)Optical measurement and interference techniques (8 papers)Advanced Thermoelectric Materials and Devices (6 papers)

In The Last Decade

Junhao Zhu

35 papers receiving 355 citations

Peers

Junhao Zhu
Comparison fields: 5 of 57
  • Mechanical Engineering 150
  • Electrical and Electronic Engineering 133
  • Materials Chemistry 121
  • Computer Vision and Pattern Recognition 75
  • Biomedical Engineering 61
Replace Gaopeng Xue with:
Gaopeng Xue China
Masafumi Asano Japan
Ju-Yi Lee Taiwan
Yasuhiro Takaya Japan
Zhenhai Zhang China
Sung-Ho Lee South Korea
Charles D. Schaper United States
Bernd Michel Germany
Tim Fühner Germany
Jiang Taiwan
Junhao Zhu relative to Gaopeng Xue China Gaopeng Xue's profile →
Citations per field
00.5×10.1×
Gaopeng Xue · 1×
Citations per year

Countries citing papers authored by Junhao Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Junhao Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junhao Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Junhao Zhu. A scholar is included among the top collaborators of Junhao Zhu 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 Junhao Zhu. Junhao Zhu 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
#WorkIndexed citations
1 1
2 1
3 0
4 23
5 2
6 6
7 3
8 4
9 6
10 43
11 9
12 9
13 4
14
Deep Reinforcement Learning in Portfolio Management
12
15 10
16 4
17 21
18 11
19 10
20 14

About Junhao Zhu

Junhao Zhu is a scholar working on Health Informatics, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 367 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (12 papers), Optical measurement and interference techniques (8 papers) and Advanced Thermoelectric Materials and Devices (6 papers). The work is most often cited by research in Surfaces, Coatings and Films (33 citations), Mechanical Engineering (150 citations) and Computer Vision and Pattern Recognition (75 citations). Junhao Zhu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xinghui Li, Zhengliang Du, Guochao Wang, Gaopeng Xue, Yaqin Wang, Wu Tang, Ningning Shi, Jiaolin Cui, Qian Zhou and Xiaolu Chen. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Advanced Functional Materials.

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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