Yu Cui

2.3k citations
68 papers · 1.7k · 2 hit papers · h-index 16

Impact in

Papers in

Yu Cui

64 papers receiving 1.7k citations

Yu Cui's Hit Papers

Short-term load forecasting based on LSTM networks considering attention mechanism 2021 · 219 citations
2190+7+14Years since publication100200300400

Peers

Yu Cui
Comparison fields: 5 of 101
  • Signal Processing 757
  • Computer Vision and Pattern Recognition 607
  • Transportation 151
  • Computer Networks and Communications 465
  • Artificial Intelligence 411
Replace Yingjie Xia with:
Yingjie Xia China
Mário A. Nascimento Canada
Wei‐Shinn Ku United States
Muhammad Aamir Cheema Australia
Matthias Renz Germany
Hoyoung Jeung Switzerland
Liang Hong China
Jun Luo China
Ning Jing China
Vittorio Castelli United States
Yu Cui relative to Yingjie Xia China Yingjie Xia's profile →
Citations per field
00.5×3.1×
Yingjie Xia · 1×
Citations per year

Countries citing papers authored by Yu Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yu Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yu Cui, 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 Yu Cui Line = papers co-authored together Yu Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
iDistance
Hit paper breakdown →
2005464
2
Indexing the Distance: An Efficient Method to KNN Processing
2001225
3
Short-term load forecasting based on LSTM networks considering attention mechanism
Hit paper breakdown →
2021219
4 201877
5 200669
6 201566
7 201863
8 200062
9 200957
10 202237
11 201731
12 202428
13 201825
14 202225
15 201618
16 200215
17 202312
18 201812
19 201812
20 201511

About Yu Cui

Yu Cui is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Transportation, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Data Management and Algorithms (15 papers), Advanced Image and Video Retrieval Techniques (12 papers), Human Mobility and Location-Based Analysis (8 papers), Algorithms and Data Compression (7 papers), Advanced Database Systems and Queries (6 papers), Transportation Planning and Optimization (5 papers), Chaos-based Image/Signal Encryption (5 papers) and Chaos control and synchronization (4 papers). The work is most often cited by research in Signal Processing (757 citations), Computer Vision and Pattern Recognition (607 citations), Transportation (151 citations), Computer Networks and Communications (465 citations) and Artificial Intelligence (411 citations). Yu Cui has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Beng Chin Ooi, Kian‐Lee Tan, H. V. Jagadish, Rui Zhang, Jianguo Zhu, Jun Lin, Jin Ma, Qing He, Chuishi Meng and Jing Gao. Their work appears in journals such as IEEE Access, Transportation Research Part C Emerging Technologies, Land Use Policy, Chaos Solitons & Fractals and ACM Transactions on Database 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.

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