Guodong Gong

746 citations
14 papers · 619 indexed · 1 hit paper · h-index 12
Topics
Advanced Memory and Neural Computing (10 papers)Perovskite Materials and Applications (3 papers)Ferroelectric and Negative Capacitance Devices (3 papers)
Partner nations
ChinaHong KongGermany

In The Last Decade

Guodong Gong

14 papers receiving 606 citations

Hit Papers

An Oxide Schottky Junction Artificial Optoelectronic Synapse20192026202120232019100200300400

Peers

Guodong Gong
Comparison fields: 5 of 37
  • Electrical and Electronic Engineering 556
  • Cellular and Molecular Neuroscience 282
  • Artificial Intelligence 157
  • Polymers and Plastics 118
  • Materials Chemistry 117
Replace Xuanyu Shan with:
Xuanyu Shan China
Sha Nie China
Chuansen Yang China
Huiwu Mao China
Juxiang Wang China
Ziyu Xiong China
Dong Gue Roe South Korea
Chuan Yang China
Bin‐Wei Yao China
Seonghoon Jang South Korea
Guodong Gong relative to Xuanyu Shan China Xuanyu Shan's profile →
Citations per field
00.5×10×15×20×23×
Xuanyu Shan · 1×
Citations per year

Countries citing papers authored by Guodong Gong

Since Specialization
Citations

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

Fields of papers citing papers by Guodong Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guodong Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Guodong Gong. A scholar is included among the top collaborators of Guodong 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 Guodong Gong. Guodong Gong 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 11
2 3
3 14
4 14
5 68
6 17
7 13
8 12
9 1
10
An Oxide Schottky Junction Artificial Optoelectronic Synapsebreakdown →
408
11 16
12 14
13 12
14 16

About Guodong Gong

Guodong Gong is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Bioengineering, having authored 14 papers that have together received 619 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Perovskite Materials and Applications (3 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (282 citations), Electrical and Electronic Engineering (556 citations) and Polymers and Plastics (118 citations). Guodong Gong has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Run‐Wei Li, Shuang Gao, Gang Liu, Huali Yang, Jie Shang, Wuhong Xue, Chao Hu, Xiaohui Yi, Qi Chen and Su‐Ting Han. Their work appears in journals such as Advanced Materials, ACS Nano 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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