Pingfu Chao

495 total citations
27 papers, 188 citations indexed

About

Pingfu Chao is a scholar working on Signal Processing, Artificial Intelligence and Information Systems. According to data from OpenAlex, Pingfu Chao has authored 27 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 11 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Pingfu Chao's work include Data Management and Algorithms (13 papers), Human Mobility and Location-Based Analysis (7 papers) and Automated Road and Building Extraction (6 papers). Pingfu Chao is often cited by papers focused on Data Management and Algorithms (13 papers), Human Mobility and Location-Based Analysis (7 papers) and Automated Road and Building Extraction (6 papers). Pingfu Chao collaborates with scholars based in China, Australia and Hong Kong. Pingfu Chao's co-authors include Xiaofang Zhou, Wen Hua, Lei Li, Junhua Fang, Mengxuan Zhang, Jiajie Xu, Kai Zheng, Matteo Francia, Fengmei Jin and Maria E. Orłowska and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems.

In The Last Decade

Pingfu Chao

21 papers receiving 187 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pingfu Chao China 8 77 67 50 42 40 27 188
Aditya Telang United States 7 116 1.5× 61 0.9× 45 0.9× 44 1.0× 36 0.9× 14 189
Huabei Yin United States 6 63 0.8× 29 0.4× 50 1.0× 73 1.7× 37 0.9× 9 210
Linsey Pang United States 6 39 0.5× 77 1.1× 56 1.1× 40 1.0× 17 0.4× 21 185
Yuntao Du China 8 72 0.9× 165 2.5× 44 0.9× 21 0.5× 138 3.5× 16 283
Jianqiu Xu China 8 179 2.3× 41 0.6× 76 1.5× 64 1.5× 21 0.5× 42 233
Yaguang Li China 6 69 0.9× 23 0.3× 50 1.0× 25 0.6× 15 0.4× 16 142
Yizhi Liu China 9 40 0.5× 55 0.8× 13 0.3× 55 1.3× 88 2.2× 30 287
Mohamed Ali United States 6 46 0.6× 40 0.6× 11 0.2× 56 1.3× 20 0.5× 33 138
Andy Yuan Xue Australia 5 147 1.9× 64 1.0× 220 4.4× 25 0.6× 18 0.5× 6 322
Igor Timko Denmark 7 208 2.7× 27 0.4× 44 0.9× 137 3.3× 52 1.3× 13 244

Countries citing papers authored by Pingfu Chao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pingfu Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Pingfu Chao. A scholar is included among the top collaborators of Pingfu Chao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pingfu Chao. Pingfu Chao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Haiqin, et al.. (2025). PARSQL: Enhancing Text-to-SQL through SQL Parsing and Reasoning. 661–681.
2.
Gu, Tianyi, et al.. (2024). HPS: A novel heuristic hierarchical pruning strategy for dynamic top-k trajectory similarity query. Information Processing & Management. 61(6). 103828–103828. 1 indexed citations
3.
Fang, Junhua, et al.. (2024). Ocean: Online Clustering and Evolution Analysis for Dynamic Streaming Data. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4504–4517.
4.
Chao, Pingfu, et al.. (2024). MDTRL: A Multi-Source Deep Trajectory Representation Learning for the Accurate and Fast Similarity Query. IEEE Transactions on Intelligent Transportation Systems. 26(2). 2115–2128. 2 indexed citations
5.
Fang, Junhua, et al.. (2024). PopGR: Popularity reweighting for debiasing in group recommendation. World Wide Web. 27(4). 1 indexed citations
6.
Hong, Jiawei, Yang Wen, Pingfu Chao, & Junhua Fang. (2024). GroupMO: a memory-augmented meta-optimized model for group recommendation. World Wide Web. 27(3).
7.
Pan, Zhicheng, Pingfu Chao, Junhua Fang, et al.. (2023). Garden: a real-time processing framework for continuous top-k trajectory similarity search. Knowledge and Information Systems. 65(9). 3777–3805. 4 indexed citations
8.
Chen, Zheng, Junhua Fang, Pingfu Chao, et al.. (2023). MoviNet: A novel network for cross-modal map extraction by vision transformer and CNN. Knowledge-Based Systems. 278. 110890–110890. 5 indexed citations
9.
Zhao, Jinyi, et al.. (2023). GC-TripRec: Graph contextualized generative network with adversarial learning for trip recommendation. World Wide Web. 26(5). 2291–2310. 1 indexed citations
10.
Xu, Jiajie, et al.. (2023). LHMM: A Learning Enhanced HMM Model for Cellular Trajectory Map Matching. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2429–2442. 5 indexed citations
11.
Jin, Fengmei, Wen Hua, Matteo Francia, et al.. (2022). A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing. IEEE Transactions on Knowledge and Data Engineering. 1–1. 36 indexed citations
12.
Fang, Junhua, et al.. (2021). Cost-effective and adaptive clustering algorithm for stream processing on cloud system. GeoInformatica. 27(1). 1–21. 2 indexed citations
13.
Chao, Pingfu, Wen Hua, Rui Mao, Jiajie Xu, & Xiaofang Zhou. (2020). A Survey and Quantitative Study on Map Inference Algorithms from GPS Trajectories. IEEE Transactions on Knowledge and Data Engineering. 1–1. 14 indexed citations
14.
He, Dan, et al.. (2020). Route Reconstruction Using Low-Quality Bluetooth Readings. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 179–182. 3 indexed citations
15.
Chao, Pingfu, Wen Hua, & Xiaofang Zhou. (2019). Trajectories know where map is wrong: an iterative framework for map-trajectory co-optimisation. World Wide Web. 23(1). 47–73. 13 indexed citations
16.
Fang, Junhua, et al.. (2019). Integrating workload balancing and fault tolerance in distributed stream processing system. World Wide Web. 22(6). 2471–2496. 10 indexed citations
17.
Chao, Pingfu, Dan He, Shazia Sadiq, Kai Zheng, & Xiaofang Zhou. (2017). A performance study on large-scale data analytics using disk-based and in-memory database systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 247–254. 2 indexed citations
18.
Kim, Jiwon, et al.. (2016). Graph-based analysis of city-wide traffic dynamics using time-evolving graphs of trajectory data. Queensland's institutional digital repository (The University of Queensland). 6 indexed citations
19.
Zhang, Rong, et al.. (2016). Review Comment Analysis for E-commerce. WORLD SCIENTIFIC eBooks.
20.
Gao, Yifan, et al.. (2015). Analyzing reviews for rating prediction and item recommendation. Huadong Shifan Daxue xuebao. Ziran kexue ban. 2015(3). 80. 2 indexed citations

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.

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2026