Jiangdong Gong

1.8k citations
36 papers · 1.6k indexed · 1 hit paper · h-index 19
Topics
Advanced Memory and Neural Computing (34 papers)Neuroscience and Neural Engineering (15 papers)Conducting polymers and applications (14 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaNano Letters
Partner nations
ChinaTaiwanSouth Korea

In The Last Decade

Jiangdong Gong

35 papers receiving 1.6k citations

Hit Papers

Recent Progress in Three‐Terminal Artificial Synapses: Fr...2019202620212023201950100150200250

Peers

Jiangdong Gong
Comparison fields: 5 of 52
  • Electrical and Electronic Engineering 1.5k
  • Cellular and Molecular Neuroscience 734
  • Polymers and Plastics 511
  • Biomedical Engineering 254
  • Artificial Intelligence 217
Replace Yao Ni with:
Yao Ni China
Hong Han China
Mohit Rameshchandra Kulkarni Singapore
Ya Lin China
Rengjian Yu China
Chang Wan China
Ben Yang China
Yimao Cai China
Xiang Wan China
Jiangdong Gong relative to Yao Ni China Yao Ni's profile →
Citations per field
00.5×1.5×
Yao Ni · 1×
Citations per year

Countries citing papers authored by Jiangdong Gong

Since Specialization
Citations

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

Fields of papers citing papers by Jiangdong Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangdong Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangdong Gong. A scholar is included among the top collaborators of Jiangdong Gong 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 Jiangdong Gong. Jiangdong Gong 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 0
2 12
3 5
4 5
5 2
6 24
7 88
8 2
9 166
10 17
11 4
12 18
13 12
14 1
15 10
16 85
17 22
18 9
19 61
20 2

About Jiangdong Gong

Jiangdong Gong is a scholar working on Polymers and Plastics, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (34 papers), Neuroscience and Neural Engineering (15 papers) and Conducting polymers and applications (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (734 citations), Polymers and Plastics (511 citations) and Electrical and Electronic Engineering (1.5k citations). Jiangdong Gong has collaborated with scholars based in China, Taiwan and South Korea. Frequent co-authors include Huanhuan Wei, Wentao Xu, Hong Han, Haiyang Yu, Yao Ni, Mingxue Ma, Haiyang Yu, Zhipeng Xu, Lin Sun and Jiaqi Liu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

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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