Hui Ling Chen
Impact in
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- Recycling and Waste Management Techniques
- Municipal Solid Waste Management
- Pollution top 5%
- Microplastics and Plastic Pollution
Papers in
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- Microplastics and Plastic Pollution 7
- Pharmaceutical and Antibiotic Environmental Impacts 1
-
- Recycling and Waste Management Techniques 4
- Municipal Solid Waste Management 1
- Co-authors
- Chris Gibbins (2 shared papers)Alex M. Lechner (1 shared paper)Siewhui Chong (1 shared paper)Tapan Kumar Nath (1 shared paper)Kang‐Nee Ting (6 shared papers)Christopher Gibbins (5 shared papers)Kim Yeow Tshai (1 shared paper)Tomás Maul (1 shared paper)
- Journals
- Freshwater Biology (1 paper)Environmental Monitoring and Assessment (1 paper)Environmental Research (1 paper)Environmental Pollution (1 paper)Neural Computing and Applications (1 paper)
- Partner nations
- MalaysiaUnited KingdomBrazil
In The Last Decade
Hui Ling Chen
7 papers receiving 362 citations
Peers
Comparison fields: 5 of 65
- Industrial and Manufacturing Engineering 239
- Pollution 266
- Biomaterials 62
- Polymers and Plastics 26
- Strategy and Management 20
Countries citing papers authored by Hui Ling Chen
This map shows the geographic impact of Hui Ling 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 Hui Ling Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Ling Chen more than expected).
Fields of papers citing papers by Hui Ling Chen
This network shows the impact of papers produced by Hui Ling 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 Hui Ling Chen. The network helps show where Hui Ling Chen may publish in the future.
Co-authors
The 9 scholars most cited alongside Hui Ling 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 | 2021 | 218 | |
| 2 | 2021 | 71 | |
| 3 | 2021 | 35 | |
| 4 | 2022 | 20 | |
| 5 | 2022 | 15 | |
| 6 | 2023 | 9 | |
| 7 | 2024 | 1 |
About Hui Ling Chen
Hui Ling Chen is a scholar working on Pollution, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Ocean Engineering and Biomaterials, having authored 7 papers that have together received 369 indexed citations. Recurring topics across this work include Microplastics and Plastic Pollution (7 papers), Recycling and Waste Management Techniques (4 papers), Biosensors and Analytical Detection (1 paper), Municipal Solid Waste Management (1 paper), Advanced Neural Network Applications (1 paper), Marine Biology and Environmental Chemistry (1 paper), biodegradable polymer synthesis and properties (1 paper) and Pharmaceutical and Antibiotic Environmental Impacts (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (239 citations), Pollution (266 citations), Biomaterials (62 citations), Polymers and Plastics (26 citations) and Strategy and Management (20 citations). Hui Ling Chen has collaborated with scholars based in Malaysia, United Kingdom and Brazil. Frequent co-authors include Chris Gibbins, Alex M. Lechner, Siewhui Chong, Tapan Kumar Nath, Kang‐Nee Ting, Christopher Gibbins, Kim Yeow Tshai, Tomás Maul and Kasturi Muthoosamy. Their work appears in journals such as Freshwater Biology, Environmental Monitoring and Assessment, Environmental Research, Environmental Pollution and Neural Computing and Applications.
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.