Deyang Ji

3.4k citations
102 papers · 2.7k indexed · 1 hit paper · h-index 28

Deyang Ji

95 papers receiving 2.7k citations

Hit Papers

Tetrachromatic vision-inspired neuromorphic sensors with ...1132023202620242025255075100

Peers

Deyang Ji
Comparison fields: 5 of 91
  • Polymers and Plastics 1.0k
  • Electrical and Electronic Engineering 1.9k
  • Bioengineering 127
  • Materials Chemistry 847
  • Biomedical Engineering 800
Replace Xiaochen Ren with:
Xiaochen Ren China
Inho Song South Korea
Tae Kyu An South Korea
Youngu Lee South Korea
Lay‐Lay Chua Singapore
Yu‐Qing Zheng China
Won‐Tae Park South Korea
Boseok Kang South Korea
Simon Ogier United Kingdom
Deyang Ji relative to Xiaochen Ren China Xiaochen Ren's profile →
Citations per field
00.5×1.5×
Xiaochen Ren · 1×
Citations per year

Countries citing papers authored by Deyang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Deyang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Deyang Ji, 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 Deyang Ji Line = papers co-authored together Deyang Ji links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 202421
5 20249
6 20242
7 202350
8 202311
9 202311
10 20235
11 202321
12 202252
13 202248
14 202124
15 202121
16 202165
17 20208
18 201886
19 201536
20 201420

About Deyang Ji

Deyang Ji is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Bioengineering, Biomedical Engineering and Materials Chemistry, having authored 102 papers that have together received 2.7k indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (61 papers), Conducting polymers and applications (39 papers), Advanced Sensor and Energy Harvesting Materials (21 papers), Perovskite Materials and Applications (21 papers), Advanced Memory and Neural Computing (20 papers), Organic Light-Emitting Diodes Research (17 papers), Nanowire Synthesis and Applications (8 papers) and Thin-Film Transistor Technologies (6 papers). The work is most often cited by research in Polymers and Plastics (1.0k citations), Electrical and Electronic Engineering (1.9k citations), Bioengineering (127 citations), Materials Chemistry (847 citations) and Biomedical Engineering (800 citations). Deyang Ji has collaborated with scholars based in China, Singapore and Germany. Frequent co-authors include Wenping Hu, Harald Fuchs, Tao Li, Huanli Dong, Liqiang Li, Lang Jiang, Zhaoyang Zhang, Xianhui Huang, Jie Liu and Yonggang Zhen. Their work appears in journals such as Journal of Materials Chemistry C, Advanced Functional Materials, Nature Communications, Small and Science China 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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