Hong Han

2.1k citations
40 papers · 1.6k indexed · 3 hit papers · h-index 24
Topics
Advanced Memory and Neural Computing (24 papers)Neuroscience and Neural Engineering (12 papers)Conducting polymers and applications (12 papers)

In The Last Decade

Hong Han

38 papers receiving 1.6k citations

Hit Papers

Recent Progress in Three‐Terminal Artificial Synapses: Fr...201920262021202320192024202550100150200250

Peers

Hong Han
Comparison fields: 5 of 92
  • Electrical and Electronic Engineering 1.2k
  • Cellular and Molecular Neuroscience 568
  • Polymers and Plastics 442
  • Biomedical Engineering 436
  • Materials Chemistry 203
Replace Mohit Rameshchandra Kulkarni with:
Mohit Rameshchandra Kulkarni Singapore
Chengpeng Jiang China
Kui Zhou China
Wuhong Xue China
Zhenghao Long China
Bobo Tian China
Liqiang Zhu China
Yang Ming Fu China
Chandreswar Mahata South Korea
Sruthi Kuriakose Australia
Hong Han relative to Mohit Rameshchandra Kulkarni Singapore Mohit Rameshchandra Kulkarni's profile →
Citations per field
00.5×6.2×
Mohit Rameshchandra Kulkarni · 1×
Citations per year

Countries citing papers authored by Hong Han

Since Specialization
Citations

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

Fields of papers citing papers by Hong Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Han

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Han. A scholar is included among the top collaborators of Hong Han 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 Hong Han. Hong Han 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 6
2 11
3
A microfluidic wearable device for wound exudate management and analysis in human chronic woundsbreakdown →
20
4 6
5 24
6 45
7 0
8 39
9 11
10 14
11 17
12 18
13 12
14 1
15 10
16 85
17 9
18 55
19 61
20 26

About Hong Han

Hong Han is a scholar working on Polymers and Plastics, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (24 papers), Neuroscience and Neural Engineering (12 papers) and Conducting polymers and applications (12 papers). The work is most often cited by research in Polymers and Plastics (442 citations), Cellular and Molecular Neuroscience (568 citations) and Electrical and Electronic Engineering (1.2k citations). Hong Han has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Wentao Xu, Huanhuan Wei, Jiangdong Gong, Haiyang Yu, Mingxue Ma, Yao Ni, Wei Gao, Haiyang Yu, Zhipeng Xu and Jihong Min. Their work appears in journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.

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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