Kunlong Yang

615 citations
20 papers · 536 indexed · h-index 10
Topics
Advanced Memory and Neural Computing (8 papers)Conducting polymers and applications (6 papers)Organic Light-Emitting Diodes Research (4 papers)
Partner nations
ChinaSwedenSingapore

In The Last Decade

Kunlong Yang

20 papers receiving 520 citations

Peers

Kunlong Yang
Comparison fields: 5 of 76
  • Electrical and Electronic Engineering 371
  • Materials Chemistry 189
  • Polymers and Plastics 169
  • Epidemiology 57
  • Cellular and Molecular Neuroscience 50
Replace Marvin Berlinghof with:
Marvin Berlinghof Germany
Hanyan Wu China
Julian Gerson United States
Dae Hee Park Japan
Xinnong Wang China
Qin Xue China
Mingzhu Chen China
N. Ito Japan
Xiaoyu Gu China
Tae Wook Kim South Korea
Kunlong Yang relative to Marvin Berlinghof Germany Marvin Berlinghof's profile →
Citations per field
00.5×4.4×
Marvin Berlinghof · 1×
Citations per year

Countries citing papers authored by Kunlong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kunlong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunlong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kunlong Yang. A scholar is included among the top collaborators of Kunlong Yang 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 Kunlong Yang. Kunlong Yang 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 11
3 2
4 3
5 9
6
Voltage dependency of photoelectrical memory in photoelectrical artificial synapse
1
7 28
8 42
9 39
10 2
11 13
12 3
13 16
14 9
15 8
16 86
17 237
18 2
19 17
20 7

About Kunlong Yang

Kunlong Yang is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 536 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Conducting polymers and applications (6 papers) and Organic Light-Emitting Diodes Research (4 papers). The work is most often cited by research in Polymers and Plastics (169 citations), Electrical and Electronic Engineering (371 citations) and Materials Chemistry (189 citations). Kunlong Yang has collaborated with scholars based in China, Sweden and Singapore. Frequent co-authors include Seok‐Kyu Kwon, Sung‐Han Kim, Yong‐Hyun Kim, Yiqiang Zhan, Li‐Rong Zheng, Sijian Yuan, Xin Zhang, Pengfei Wang, Jiawei Xu and Jiao Wang. Their work appears in journals such as Advanced Functional Materials, Journal of Materials Chemistry A and Nanoscale.

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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