Zining Chen
Impact in
- Pollution top 10%
- Microplastics and Plastic Pollution
-
- Natural Fiber Reinforced Composites
- Polymer Nanocomposites and Properties
Papers in
-
- Advanced Neural Network Applications 3
-
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Junyan Yi (2 shared papers)Decheng Feng (2 shared papers)Zhiguo Chen (1 shared paper)Dihui Xu (2 shared papers)Yabing Chen (2 shared papers)Yuhan Ma (1 shared paper)Yuheng Wang (1 shared paper)Chunyan Peng (1 shared paper)
- Journals
- Neurocomputing (2 papers)Cardiovascular Drugs and Therapy (1 paper)Environment International (1 paper)Smart Materials and Structures (1 paper)Environmental Science and Pollution Research (1 paper)
- Partner nations
- ChinaIndiaNetherlands
In The Last Decade
Zining Chen
18 papers receiving 329 citations
Peers
Comparison fields: 5 of 76
- Pollution 94
- Polymers and Plastics 91
- Civil and Structural Engineering 116
- Biomaterials 32
- Industrial and Manufacturing Engineering 18
Countries citing papers authored by Zining Chen
This map shows the geographic impact of Zining Chen'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 Zining Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zining Chen more than expected).
Fields of papers citing papers by Zining Chen
This network shows the impact of papers produced by Zining Chen. 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 Zining Chen. The network helps show where Zining Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Zining Chen, 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 | 2019 | 79 | |
| 2 | 2023 | 62 | |
| 3 | 2024 | 51 | |
| 4 | 2016 | 40 | |
| 5 | 2013 | 37 | |
| 6 | 2019 | 31 | |
| 7 | 2018 | 9 | |
| 8 | 2024 | 7 | |
| 9 | 2025 | 3 | |
| 10 | 2025 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2013 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About Zining Chen
Zining Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Polymers and Plastics, Electrical and Electronic Engineering and Civil and Structural Engineering, having authored 20 papers that have together received 335 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Flame retardant materials and properties (2 papers), Polymer Nanocomposites and Properties (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Microplastics and Plastic Pollution (2 papers), Fire dynamics and safety research (2 papers), Asphalt Pavement Performance Evaluation (2 papers) and Artificial Immune Systems Applications (1 paper). The work is most often cited by research in Pollution (94 citations), Polymers and Plastics (91 citations), Civil and Structural Engineering (116 citations), Biomaterials (32 citations) and Industrial and Manufacturing Engineering (18 citations). Zining Chen has collaborated with scholars based in China, India and Netherlands. Frequent co-authors include Junyan Yi, Decheng Feng, Zhiguo Chen, Dihui Xu, Yabing Chen, Yuhan Ma, Yuheng Wang, Chunyan Peng, Xiaodong Han and Yuheng Wang. Their work appears in journals such as Neurocomputing, Cardiovascular Drugs and Therapy, Environment International, Smart Materials and Structures and Environmental Science and Pollution Research.
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.