Dingqi Yang

5.1k total citations · 1 hit paper
68 papers, 2.8k citations indexed

About

Dingqi Yang is a scholar working on Artificial Intelligence, Transportation and Computer Science Applications. According to data from OpenAlex, Dingqi Yang has authored 68 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 32 papers in Transportation and 18 papers in Computer Science Applications. Recurrent topics in Dingqi Yang's work include Human Mobility and Location-Based Analysis (32 papers), Mobile Crowdsensing and Crowdsourcing (18 papers) and Complex Network Analysis Techniques (17 papers). Dingqi Yang is often cited by papers focused on Human Mobility and Location-Based Analysis (32 papers), Mobile Crowdsensing and Crowdsourcing (18 papers) and Complex Network Analysis Techniques (17 papers). Dingqi Yang collaborates with scholars based in China, Switzerland and Macao. Dingqi Yang's co-authors include Philippe Cudré-Mauroux, Daqing Zhang, Bingqing Qu, Zhiyong Yu, Vincent W. Zheng, Daqing Zhang, Leye Wang, Jie Yang, Paolo Rosso and Xiaojuan Ma and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Cybernetics and IEEE Transactions on Industrial Informatics.

In The Last Decade

Dingqi Yang

64 papers receiving 2.7k citations

Hit Papers

Modeling User Activity Preference by Leveraging User Spat... 2014 2026 2018 2022 2014 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs
    2014 506 citations Dingqi Yang, Zhiyong Yu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingqi Yang China 27 1.3k 1.1k 716 616 407 68 2.8k
Chi-Yin Chow Hong Kong 34 2.2k 1.8× 1.4k 1.2× 1.1k 1.6× 570 0.9× 1.0k 2.5× 116 4.4k
Philippe Cudré-Mauroux Switzerland 31 2.1k 1.6× 385 0.3× 1.1k 1.5× 678 1.1× 1.3k 3.2× 173 3.9k
Defu Lian China 33 2.7k 2.1× 1.1k 0.9× 2.9k 4.0× 222 0.4× 549 1.3× 168 4.8k
Mirco Nanni Italy 19 711 0.6× 1.4k 1.3× 434 0.6× 133 0.2× 291 0.7× 70 2.7k
Zhifeng Bao Australia 26 839 0.7× 544 0.5× 412 0.6× 123 0.2× 665 1.6× 153 2.3k
Yong Ge United States 28 1.1k 0.8× 997 0.9× 1.4k 1.9× 54 0.1× 375 0.9× 80 2.8k
Man Lung Yiu Hong Kong 36 1.4k 1.1× 544 0.5× 737 1.0× 240 0.4× 1.3k 3.3× 124 3.8k
Wen-Chih Peng Taiwan 24 668 0.5× 633 0.6× 436 0.6× 92 0.1× 438 1.1× 92 2.1k
Haibo Hu Hong Kong 28 1.4k 1.1× 231 0.2× 392 0.5× 243 0.4× 726 1.8× 154 2.5k
Zhixu Li China 22 1.1k 0.9× 389 0.3× 812 1.1× 144 0.2× 272 0.7× 132 1.9k

Countries citing papers authored by Dingqi Yang

Since Specialization
Citations

This map shows the geographic impact of Dingqi Yang'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 Dingqi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingqi Yang more than expected).

Fields of papers citing papers by Dingqi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dingqi Yang. 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 Dingqi Yang. The network helps show where Dingqi Yang may publish in the future.

Co-authorship network of co-authors of Dingqi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Dingqi Yang. A scholar is included among the top collaborators of Dingqi Yang 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 Dingqi Yang. Dingqi Yang 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.
Qu, Bingqing, et al.. (2025). REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction Over Sparse Trajectories. IEEE Transactions on Mobile Computing. 24(10). 9428–9440.
2.
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Yu, Zhiyong, et al.. (2024). Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting. Neural Networks. 181. 106805–106805. 4 indexed citations
5.
Jiang, Lu, et al.. (2024). Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 9396–9404. 2 indexed citations
6.
Yang, Dingqi, et al.. (2024). CrowdBot: An Open-Environment Robot Management System for On-Campus Services. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(2). 1–27. 1 indexed citations
7.
Chen, Longbiao, et al.. (2024). Animating the Crowd Mirage: A WiFi-Positioning-Based Crowd Mobility Digital Twin for Smart Campuses. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(4). 1–32. 1 indexed citations
8.
Yang, Dingqi, et al.. (2023). CrowdQ. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 7(3). 1–28. 2 indexed citations
9.
Lu, Yuhuan, et al.. (2023). HELIOS: Hyper-Relational Schema Modeling from Knowledge Graphs. 4053–4064. 3 indexed citations
10.
Yang, Dingqi, et al.. (2023). Robust Location Prediction over Sparse Spatiotemporal Trajectory Data: Flashback to the Right Moment!. ACM Transactions on Intelligent Systems and Technology. 14(5). 1–24. 4 indexed citations
11.
Yang, Dingqi, et al.. (2023). Spatiotemporal Fracture Data Inference in Sparse Mobile Crowdsensing: A Graph- and Attention-Based Approach. IEEE/ACM Transactions on Networking. 32(2). 1631–1644. 7 indexed citations
12.
Chen, Pengpeng, et al.. (2023). Black-Box Data Poisoning Attacks on Crowdsourcing. 2975–2983. 1 indexed citations
13.
Lu, Yuhuan, Dingqi Yang, Pengyang Wang, Paolo Rosso, & Philippe Cudré-Mauroux. (2023). Schema-Aware Hyper-Relational Knowledge Graph Embeddings for Link Prediction. IEEE Transactions on Knowledge and Data Engineering. 36(6). 2614–2628. 7 indexed citations
14.
Wang, Liang, Zhiwen Yu, Kaishun Wu, et al.. (2022). Towards Robust Task Assignment in Mobile Crowdsensing Systems. IEEE Transactions on Mobile Computing. 22(7). 4297–4313. 27 indexed citations
15.
Wang, Liang, Dingqi Yang, Zhiwen Yu, et al.. (2021). Acceptance-Aware Mobile Crowdsourcing Worker Recruitment in Social Networks. IEEE Transactions on Mobile Computing. 22(2). 634–646. 20 indexed citations
16.
Rosso, Paolo, et al.. (2021). RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs. 845–856. 14 indexed citations
17.
Chen, Longbiao, Thi Mai Trang Nguyen, Dingqi Yang, et al.. (2020). Data-Driven C-RAN Optimization Exploiting Traffic and Mobility Dynamics of Mobile Users. IEEE Transactions on Mobile Computing. 20(5). 1773–1788. 35 indexed citations
18.
Wang, Liang, Zhiwen Yu, Qi Han, et al.. (2020). Compact Scheduling for Task Graph Oriented Mobile Crowdsourcing. IEEE Transactions on Mobile Computing. 1–1. 13 indexed citations
19.
Yang, Dingqi, et al.. (2020). Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!. 2184–2190. 124 indexed citations
20.
Yang, Dingqi, Bin Li, & Philippe Cudré-Mauroux. (2016). POIsketch: semantic place labeling over user activity streams. reroDoc Digital Library. 2697–2703. 13 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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