Ding Chun
- Water Science and Technology top 5%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Materials Chemistry
- Co-authors
- Liang ShenLi JiaXiangdong MaMing YiLian TianYan WangShu XiongXuan Zhang
- Topics
- Membrane Separation Technologies (11 papers)Membrane-based Ion Separation Techniques (9 papers)Nanopore and Nanochannel Transport Studies (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ding Chun
35 papers receiving 831 citations
Peers
Comparison fields: 5 of 118
- Water Science and Technology 381
- Biomedical Engineering 376
- Electrical and Electronic Engineering 205
- Mechanical Engineering 120
- Materials Chemistry 88
Countries citing papers authored by Ding Chun
This map shows the geographic impact of Ding Chun'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 Ding Chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Chun more than expected).
Fields of papers citing papers by Ding Chun
This network shows the impact of papers produced by Ding Chun. 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 Ding Chun. The network helps show where Ding Chun may publish in the future.
Co-authorship network of co-authors of Ding Chun
This figure shows the co-authorship network connecting the top 25 collaborators of Ding Chun. A scholar is included among the top collaborators of Ding Chun 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 Ding Chun. Ding Chun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 14 | |
| 4 | 15 | |
| 5 | 22 | |
| 6 | 28 | |
| 7 | 45 | |
| 8 | 29 | |
| 9 | 50 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | 59 | |
| 13 | 34 | |
| 14 | Mechanism Innovation and College Graduates' Employment——An economic perspective of college graduates' employment | 2 |
| 15 | [Early warning on measles through the neural networks]. | 2 |
| 16 | Progress on Denitrification by Constructed Wetland | 1 |
| 17 | International Experience of Charge System of Municipal Solid Rubbish and Enlightenment | 1 |
| 18 | 56 | |
| 19 | Analysis of Spatial Load on Metro Station with Structural Joints | 0 |
| 20 | 1 |
About Ding Chun
Ding Chun is a scholar working on General Engineering, Water Science and Technology and Biomedical Engineering, having authored 38 papers that have together received 848 indexed citations. Recurring topics across this work include Membrane Separation Technologies (11 papers), Membrane-based Ion Separation Techniques (9 papers) and Nanopore and Nanochannel Transport Studies (4 papers). The work is most often cited by research in Water Science and Technology (381 citations), Biomedical Engineering (376 citations) and Surfaces, Coatings and Films (38 citations). Ding Chun has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Liang Shen, Li Jia, Xiangdong Ma, Ming Yi, Lian Tian, Yan Wang, Shu Xiong, Yan Wang, Xuan Zhang and Xi Yu. Their work appears in journals such as Scientific Reports, IEEE Transactions on Image Processing and Journal of Membrane 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.