Rijia Ding
Impact in
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- Algal biology and biofuel production
- Energy, Environment, and Transportation Policies
- Economics and Econometrics top 5%
- Energy, Environment, Economic Growth
- Fiscal Policy and Economic Growth
Papers in
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- Evaluation and Optimization Models 5
- Geoscience and Mining Technology 3
Rijia Ding
31 papers receiving 401 citations
Peers
Comparison fields: 5 of 77
- Renewable Energy, Sustainability and the Environment 129
- Economics and Econometrics 159
- Environmental Engineering 64
- Marketing 33
- Pollution 25
Countries citing papers authored by Rijia Ding
This map shows the geographic impact of Rijia Ding'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 Rijia Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rijia Ding more than expected).
Fields of papers citing papers by Rijia Ding
This network shows the impact of papers produced by Rijia Ding. 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 Rijia Ding. The network helps show where Rijia Ding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rijia Ding, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 13 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 18 | |
| 13 | 2022 | 13 | |
| 14 | 2020 | 36 | |
| 15 | 2016 | 136 | |
| 16 | Edible composite films based on konjac glucomannan, chitosan and carboxymethyl cellulose sodium | 2014 | 1 |
| 17 | Research on Classified Regulations of Risk-oriented Special Equipment Users | 2013 | 1 |
| 18 | Client Satisfaction Degree of Supply Chain Based on Unascertained Means Cluster | 2008 | 1 |
| 19 | 2008 | 5 | |
| 20 | 2008 | 26 |
About Rijia Ding
Rijia Ding is a scholar working on General Energy, Safety, Risk, Reliability and Quality, Medical Laboratory Technology, Radiological and Ultrasound Technology and Ecological Modeling, having authored 33 papers that have together received 407 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (10 papers), Evaluation and Optimization Models (5 papers), Environmental Impact and Sustainability (4 papers), Geoscience and Mining Technology (3 papers), Advanced Decision-Making Techniques (3 papers), Energy, Environment, and Transportation Policies (3 papers), Occupational Health and Safety Research (3 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (129 citations), Economics and Econometrics (159 citations), Environmental Engineering (64 citations), Marketing (33 citations) and Pollution (25 citations). Rijia Ding has collaborated with scholars based in China and United States. Frequent co-authors include Chunhua Xin, Yanling Cheng, Sibo Cheng, Paul Chen, Min Addy, Yuhuan Liu, Dongyan Mu, Roger Ruan, Meng Huang and Xianqiang Li. Their work appears in journals such as Sustainability, Ecological Indicators, Journal of Cleaner Production, Scientific Reports and Complex & Intelligent Systems.
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.