Chang Wan

2.0k citations
27 papers · 1.7k · 1 hit paper · h-index 14

Impact in

Papers in

Chang Wan

25 papers receiving 1.7k citations

Chang Wan's Hit Papers

Artificial synapse network on inorganic proton conductor for neuromorphic systems 2014 · 750 citations
7500+4+8Years since publication250500750

Peers

Chang Wan
Comparison fields: 5 of 51
  • Cellular and Molecular Neuroscience 931
  • Polymers and Plastics 448
  • Electrical and Electronic Engineering 1.6k
  • Cognitive Neuroscience 268
  • Bioengineering 76
Replace Jiadi Zhu with:
Jiadi Zhu China
Xiang Wan China
Mohit Rameshchandra Kulkarni Singapore
Jiangdong Gong China
Jia‐Qin Yang China
Yimao Cai China
Yaakov Tuchman United States
Yao Ni China
Ya Lin China
Chang Wan relative to Jiadi Zhu China Jiadi Zhu's profile →
Citations per field
00.5×20×40×53.5×
Jiadi Zhu · 1×
Citations per year

Countries citing papers authored by Chang Wan

Since Specialization
Citations

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

Fields of papers citing papers by Chang Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chang Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chang Wan Line = papers co-authored together Chang Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial synapse network on inorganic proton conductor for neuromorphic systems
Hit paper breakdown →
2014750
2 2016223
3 2016151
4 201689
5 201571
6 201369
7 201460
8 201656
9 201654
10 201840
11 201537
12 201129
13 201520
14 201820
15 201513
16 20139
17 20169
18
Artificial synapse network on inorganic proton conductor for neuromorphic systems. Nat Commun 5:3158
20149
19 20123
20 20242

About Chang Wan

Chang Wan is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, Polymers and Plastics and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (16 papers), Neuroscience and Neural Engineering (6 papers), Photoreceptor and optogenetics research (5 papers), Conducting polymers and applications (4 papers), CCD and CMOS Imaging Sensors (4 papers), Semiconductor materials and devices (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers) and Transition Metal Oxide Nanomaterials (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (931 citations), Polymers and Plastics (448 citations), Electrical and Electronic Engineering (1.6k citations), Cognitive Neuroscience (268 citations) and Bioengineering (76 citations). Chang Wan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Li Qiang Zhu, Qing Wan, Yi Shi, Li Guo, Yanghui Liu, Ping Feng, Hui Xiao, Ju Zhou, Peng Xiao and Hai Cao. Their work appears in journals such as Applied Physics Letters, ACS Applied Materials & Interfaces, Pattern Recognition, Advanced Materials 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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