Pingfu Chao
Impact in
- Transportation top 10%
- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Data Management and Algorithms 13
- Time Series Analysis and Forecasting 5
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- Natural Language Processing Techniques 3
- Co-authors
- Xiaofang Zhou (13 shared papers)Wen Hua (6 shared papers)Lei Li (2 shared papers)Junhua Fang (11 shared papers)Mengxuan Zhang (2 shared papers)Jiajie Xu (8 shared papers)Kai Zheng (3 shared papers)Fengmei Jin (1 shared paper)
In The Last Decade
Pingfu Chao
21 papers receiving 187 citations
Peers
Comparison fields: 5 of 43
- Transportation 50
- Signal Processing 77
- Ocean Engineering 37
- Geography, Planning and Development 12
- Artificial Intelligence 67
Countries citing papers authored by Pingfu Chao
This map shows the geographic impact of Pingfu Chao'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 Pingfu Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingfu Chao more than expected).
Fields of papers citing papers by Pingfu Chao
This network shows the impact of papers produced by Pingfu Chao. 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 Pingfu Chao. The network helps show where Pingfu Chao may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingfu Chao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 36 | |
| 2 | 2021 | 26 | |
| 3 | 2021 | 25 | |
| 4 | 2021 | 20 | |
| 5 | 2020 | 14 | |
| 6 | 2019 | 13 | |
| 7 | 2019 | 10 | |
| 8 | 2021 | 9 | |
| 9 | Graph-based analysis of city-wide traffic dynamics using time-evolving graphs of trajectory data | 2016 | 6 |
| 10 | 2023 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2015 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2017 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Pingfu Chao
Pingfu Chao is a scholar working on Signal Processing, Artificial Intelligence, Information Systems, Transportation and Ocean Engineering, having authored 27 papers that have together received 188 indexed citations. Recurring topics across this work include Data Management and Algorithms (13 papers), Human Mobility and Location-Based Analysis (7 papers), Automated Road and Building Extraction (6 papers), Time Series Analysis and Forecasting (5 papers), Video Surveillance and Tracking Methods (4 papers), Recommender Systems and Techniques (4 papers), Geographic Information Systems Studies (4 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Transportation (50 citations), Signal Processing (77 citations), Ocean Engineering (37 citations), Geography, Planning and Development (12 citations) and Artificial Intelligence (67 citations). Pingfu Chao has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Xiaofang Zhou, Wen Hua, Lei Li, Junhua Fang, Mengxuan Zhang, Jiajie Xu, Kai Zheng, Fengmei Jin, Maria E. Orłowska and Matteo Francia. Their work appears in journals such as World Wide Web, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Intelligent Transportation Systems, Information Processing & Management and Knowledge-Based 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.