Linfeng Du
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Building and Construction top 5%
- Traffic Prediction and Management Techniques
Papers in
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- Advanced Graph Neural Networks 3
- Topic Modeling 3
- Sentiment Analysis and Opinion Mining 1
- Advanced Text Analysis Techniques 1
- Text and Document Classification Technologies 1
-
- Misinformation and Its Impacts 1
- Co-authors
- Md Zakirul Alam Bhuiyan (3 shared papers)Hongyuan Ma (2 shared papers)Hao Peng (4 shared papers)Philip S. Yu (2 shared papers)Lihong Wang (2 shared papers)Jianwei Liu (1 shared paper)Bowen Du (1 shared paper)Zeyu Yang (1 shared paper)
- Journals
- IEEE Access (2 papers)Knowledge-Based Systems (1 paper)Information Sciences (1 paper)White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Linfeng Du
5 papers receiving 316 citations
Linfeng Du's Hit Papers
Peers
Comparison fields: 5 of 57
- Transportation 133
- Building and Construction 163
- Artificial Intelligence 113
- Control and Systems Engineering 69
- Signal Processing 26
Countries citing papers authored by Linfeng Du
This map shows the geographic impact of Linfeng Du'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 Linfeng Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linfeng Du more than expected).
Fields of papers citing papers by Linfeng Du
This network shows the impact of papers produced by Linfeng Du. 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 Linfeng Du. The network helps show where Linfeng Du may publish in the future.
Co-authors
The 20 scholars most cited alongside Linfeng Du, 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 | Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting Hit paper breakdown → | 2020 | 256 |
| 2 | 2020 | 46 | |
| 3 | 2019 | 15 | |
| 4 | 2020 | 4 | |
| 5 | 2022 | 1 |
About Linfeng Du
Linfeng Du is a scholar working on Artificial Intelligence, Sociology and Political Science, Information Systems, Transportation and Management Science and Operations Research, having authored 5 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (3 papers), Topic Modeling (3 papers), Sentiment Analysis and Opinion Mining (1 paper), Transportation Planning and Optimization (1 paper), Misinformation and Its Impacts (1 paper), Advanced Text Analysis Techniques (1 paper), Text and Document Classification Technologies (1 paper) and Traffic Prediction and Management Techniques (1 paper). The work is most often cited by research in Transportation (133 citations), Building and Construction (163 citations), Artificial Intelligence (113 citations), Control and Systems Engineering (69 citations) and Signal Processing (26 citations). Linfeng Du has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Md Zakirul Alam Bhuiyan, Hongyuan Ma, Hao Peng, Philip S. Yu, Lihong Wang, Jianwei Liu, Bowen Du, Zeyu Yang, Senzhang Wang and Jibing Gong. Their work appears in journals such as IEEE Access, Knowledge-Based Systems, Information Sciences and White Rose Research Online (University of Leeds, The University of Sheffield, University of York).
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.