Dingqi Yang

66 papers receiving 2.8k citations

Dingqi Yang's Hit Papers

A Survey on Hypergraph Representation Learning 2023 · 95 citations
950+4+8Years since publication100200300400500

Peers

Dingqi Yang
Comparison fields: 5 of 92
  • Transportation 1.1k
  • Computer Science Applications 626
  • Computational Mathematics 26
  • Artificial Intelligence 1.3k
  • Information Systems 734
Replace Philippe Cudré-Mauroux with:
Philippe Cudré-Mauroux Switzerland
Yong Ge United States
Wen-Chih Peng Taiwan
Yunjun Gao China
Shu Wu China
Zhixu Li China
Vana Kalogeraki Greece
Bin Yao China
Lianyong Qi China
Fei Hao China
Dingqi Yang relative to Philippe Cudré-Mauroux Switzerland Philippe Cudré-Mauroux's profile →
Citations per field
00.5×3.3×
Philippe Cudré-Mauroux · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Dingqi Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dingqi Yang Line = papers co-authored together Dingqi Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs
Hit paper breakdown →
2014521
2 2019207
3 2016203
4 2017148
5 2020131
6 2015102
7
A Survey on Hypergraph Representation Learning
Hit paper breakdown →
202395
8 202095
9 201382
10 201680
11 202078
12 201773
13 201871
14 201869
15 202066
16 201863
17 201762
18 201959
19 201941
20 201939

About Dingqi Yang

Dingqi Yang is a scholar working on Artificial Intelligence, Transportation, Computer Science Applications, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 70 papers that have together received 2.8k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (32 papers), Mobile Crowdsensing and Crowdsourcing (18 papers), Complex Network Analysis Techniques (17 papers), Advanced Graph Neural Networks (16 papers), Privacy-Preserving Technologies in Data (9 papers), Recommender Systems and Techniques (8 papers), Topic Modeling (7 papers) and Traffic Prediction and Management Techniques (7 papers). The work is most often cited by research in Transportation (1.1k citations), Computer Science Applications (626 citations), Computational Mathematics (26 citations), Artificial Intelligence (1.3k citations) and Information Systems (734 citations). Dingqi Yang has collaborated with scholars based in China, Switzerland and Macao. Frequent 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. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Mobile Computing, ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Systems Man and Cybernetics Systems and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

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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