Xudong Ji
- Electrical and Electronic Engineering top 5%
- Polymers and Plastics top 2%
- Biomedical Engineering top 10%
- Materials Chemistry
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Jonathan RivnayPaddy K. L. ChanZhichao ZhangKe PeiBryan D. PaulsenBoyu PengRuiheng WuReem B. Rashid
- Topics
- Conducting polymers and applications (17 papers)Advanced Memory and Neural Computing (8 papers)Organic Electronics and Photovoltaics (8 papers)
- Journals
- Journal of the American Chemical SocietyAdvanced MaterialsAngewandte Chemie International Edition
- Partner nations
- United StatesHong KongChina
In The Last Decade
Xudong Ji
23 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 959
- Polymers and Plastics 655
- Biomedical Engineering 420
- Materials Chemistry 197
- Cellular and Molecular Neuroscience 186
Countries citing papers authored by Xudong Ji
This map shows the geographic impact of Xudong 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 Xudong Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xudong Ji more than expected).
Fields of papers citing papers by Xudong Ji
This network shows the impact of papers produced by Xudong 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 Xudong Ji. The network helps show where Xudong Ji may publish in the future.
Co-authorship network of co-authors of Xudong Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Xudong Ji. A scholar is included among the top collaborators of Xudong Ji 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 Xudong Ji. Xudong Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 29 | |
| 6 | 0 | |
| 7 | 79 | |
| 8 | 55 | |
| 9 | 94 | |
| 10 | 19 | |
| 11 | 21 | |
| 12 | 41 | |
| 13 | 11 | |
| 14 | Mimicking associative learning using an ion-trapping non-volatile synaptic organic electrochemical transistorbreakdown → | 231 |
| 15 | 100 | |
| 16 | 3 | |
| 17 | 19 | |
| 18 | 32 | |
| 19 | 54 | |
| 20 | 7 |
About Xudong Ji
Xudong Ji is a scholar working on Polymers and Plastics, Bioengineering and Electrochemistry, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Conducting polymers and applications (17 papers), Advanced Memory and Neural Computing (8 papers) and Organic Electronics and Photovoltaics (8 papers). The work is most often cited by research in Polymers and Plastics (655 citations), Bioengineering (156 citations) and Electrical and Electronic Engineering (959 citations). Xudong Ji has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Jonathan Rivnay, Paddy K. L. Chan, Zhichao Zhang, Ke Pei, Bryan D. Paulsen, Boyu Peng, Ruiheng Wu, Reem B. Rashid, Yuyang Yin and Xiaochen Ren. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.
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.