Jun Zhang

28.7k citations
480 papers · 24.7k indexed · 8 hit papers · h-index 82

Impact in

Papers in

Jun Zhang

456 papers receiving 24.3k citations

Hit Papers

Conducting polymer-based nanostructures for gas sensors 2022 · 202 citations
20220022026201020184008001.2k

Peers

Jun Zhang
Comparison fields: 5 of 185
  • Bioengineering 6.6k
  • Electrical and Electronic Engineering 16.4k
  • Polymers and Plastics 3.8k
  • Materials Chemistry 10.6k
  • Biomedical Engineering 8.9k
Replace Il‐Doo Kim with:
Il‐Doo Kim South Korea
Taihong Wang China
Yonghui Deng China
Ce Wang China
Junhong Chen United States
Enrico Traversa Italy
Jyongsik Jang South Korea
Craig A. Grimes United States
Huiqing Fan China
Miroslava Trchová Czechia
Jun Zhang relative to Il‐Doo Kim South Korea Il‐Doo Kim's profile →
Citations per field
00.5×1.5×
Il‐Doo Kim · 1×
Citations per year

Countries citing papers authored by Jun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20251
4 20250
5 20242
6 20240
7 202413
8 20247
9 202412
10 202359
11 202344
12 202278
13 202223
14 202170
15 202137
16 202145
17 202191
18
Oxygen Vacancies Enabled Porous SnO2 Thin Films for Highly Sensitive Detection of Triethylamine at Room Temperature
Hit paper breakdown →
2020317
19 201968
20 201944

About Jun Zhang

Jun Zhang is a scholar working on Bioengineering, Polymers and Plastics, Electrical and Electronic Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 480 papers that have together received 24.7k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (169 papers), Analytical Chemistry and Sensors (85 papers), Advanced Chemical Sensor Technologies (68 papers), ZnO doping and properties (66 papers), Conducting polymers and applications (45 papers), Advancements in Battery Materials (44 papers), Electrospun Nanofibers in Biomedical Applications (41 papers) and Supercapacitor Materials and Fabrication (36 papers). The work is most often cited by research in Bioengineering (6.6k citations), Electrical and Electronic Engineering (16.4k citations), Polymers and Plastics (3.8k citations), Materials Chemistry (10.6k citations) and Biomedical Engineering (8.9k citations). Jun Zhang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xianghong Liu, Nicola Pinna, Shihua Wu, Wei Zheng, Bingqiang Cao, Xianzhi Guo, Shurong Wang, G. Neri, Hongyan Xu and Tiantian Ma. Their work appears in journals such as Sensors and Actuators B Chemical, Chemical Engineering Journal, Applied Physics Letters, ACS Applied Materials & Interfaces and Applied Surface Science.

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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