Jian-Xiong Wang
-
- Particle physics theoretical and experimental studies 61
- Quantum Chromodynamics and Particle Interactions 55
- High-Energy Particle Collisions Research 53
- Electrochemistry top 5%
- Bioengineering top 5%
- Materials Chemistry top 10%
- Carbon Nanotubes in Composites 8
- ZnO doping and properties 7
- Condensed Matter Physics top 10%
-
- Gas Sensing Nanomaterials and Sensors 4
-
- Blind Source Separation Techniques 4
-
- Nanowire Synthesis and Applications 4
- Co-authors
- Bin GongXing-Gang WuChao-Hsi ChangHong-Fei ZhangXiao Wei SunC. C. ChangCong‐Feng QiaoZonghua Liu
- Journals
- Physical Review Letters (5 papers)Advanced Materials (1 paper)Applied Physics Letters (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jian-Xiong Wang
106 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Nuclear and High Energy Physics 1.5k
- Electrochemistry 98
- Bioengineering 82
- Materials Chemistry 539
- Condensed Matter Physics 118
Countries citing papers authored by Jian-Xiong Wang
This map shows the geographic impact of Jian-Xiong Wang'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 Jian-Xiong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian-Xiong Wang more than expected).
Fields of papers citing papers by Jian-Xiong Wang
This network shows the impact of papers produced by Jian-Xiong Wang. 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 Jian-Xiong Wang. The network helps show where Jian-Xiong Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jian-Xiong Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | A Machine Learning Approach to Credit Card Customer Segmentation for Economic Stabilitybreakdown → | 2024 | 42 |
| 4 | 2024 | 3 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2020 | 3 | |
| 8 | 2018 | 21 | |
| 9 | 2015 | 7 | |
| 10 | 2014 | 47 | |
| 11 | 2013 | 133 | |
| 12 | 2011 | 22 | |
| 13 | 2010 | 53 | |
| 14 | 2009 | 61 | |
| 15 | 2009 | 36 | |
| 16 | Exclusive ηb decay to double J/ψ at next-to-leading order in αs | 2008 | 1 |
| 17 | 2008 | 43 | |
| 18 | 2008 | 110 | |
| 19 | 2003 | 1 | |
| 20 | Automatic reduction of loop amplitudes | 1993 | 1 |
About Jian-Xiong Wang
Jian-Xiong Wang is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Signal Processing, having authored 111 papers that have together received 2.7k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (61 papers), Quantum Chromodynamics and Particle Interactions (55 papers), High-Energy Particle Collisions Research (53 papers), Carbon Nanotubes in Composites (8 papers), ZnO doping and properties (7 papers), Gas Sensing Nanomaterials and Sensors (4 papers), Blind Source Separation Techniques (4 papers) and Nanowire Synthesis and Applications (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.5k citations), Electrochemistry (98 citations) and Bioengineering (82 citations). Jian-Xiong Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Bin Gong, Xing-Gang Wu, Chao-Hsi Chang, Hong-Fei Zhang, Xiao Wei Sun, C. C. Chang, Cong‐Feng Qiao, Zonghua Liu, Sishen Xie and Li Song. Their work appears in journals such as Physical Review Letters, Advanced Materials and Applied Physics Letters.
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.