Ji‐Huan He

403 citations
12 papers · 350 indexed · 1 hit paper · h-index 7
Topics
Advanced Sensor and Energy Harvesting Materials (2 papers)Electrospun Nanofibers in Biomedical Applications (2 papers)Nanomaterials and Printing Technologies (1 paper)
Partner nations
ChinaFranceArgentina

In The Last Decade

Ji‐Huan He

11 papers receiving 339 citations

Hit Papers

On two-scale dimension and its applications2019202620212023201950100150200

Peers

Ji‐Huan He
Comparison fields: 5 of 79
  • Modeling and Simulation 183
  • Statistical and Nonlinear Physics 146
  • Biomedical Engineering 60
  • Numerical Analysis 53
  • Mechanics of Materials 40
Replace Kal Renganathan Sharma with:
Kal Renganathan Sharma United States
Zheng-Biao Li China
A. V. Vyazmin Russia
Amirreza Khodadadian Austria
António Romano Italy
Jiang Yu China
S. Olek Israel
Didier Samayoa Mexico
A. F. Ghaleb Egypt
Aamir Farooq China
Ji‐Huan He relative to Kal Renganathan Sharma United States Kal Renganathan Sharma's profile →
Citations per field
00.5×10×17×
Kal Renganathan Sharma · 1×
Citations per year

Countries citing papers authored by Ji‐Huan He

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Huan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji‐Huan He. 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 Ji‐Huan He. The network helps show where Ji‐Huan He may publish in the future.

Co-authorship network of co-authors of Ji‐Huan He

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 32
3 13
4 13
5 3
6 21
7 10
8
On two-scale dimension and its applicationsbreakdown →
233
9 4
10 1
11 15
12 3

About Ji‐Huan He

Ji‐Huan He is a scholar working on Biomaterials, Surfaces, Coatings and Films and Statistics, Probability and Uncertainty, having authored 12 papers that have together received 350 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Nanomaterials and Printing Technologies (1 paper). The work is most often cited by research in Modeling and Simulation (183 citations), Statistical and Nonlinear Physics (146 citations) and Numerical Analysis (53 citations). Ji‐Huan He has collaborated with scholars based in China, France and Argentina. Frequent co-authors include Qura Tul Ain, Ying Mei, Yuqi Liu, Zhe Liu, Yue Shen, Yunyu Li, Xingyu Zhu, Zuowei Zhang, Yanqing Liu and Fujuan Liu. Their work appears in journals such as IEEE Access, Information Sciences and Journal of Applied Polymer Science.

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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