Leye Wang

6.8k citations
98 papers · 4.0k indexed · 1 hit paper · h-index 34

Impact in

Papers in

Leye Wang

95 papers receiving 3.9k citations

Hit Papers

Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting 2019 · 601 citations
6012019202620212023200400600

Peers

Leye Wang
Comparison fields: 5 of 125
  • Computer Science Applications 1.7k
  • Transportation 1.7k
  • Building and Construction 876
  • Artificial Intelligence 1.0k
  • Signal Processing 332
Replace Yasha Wang with:
Yasha Wang China
Daqing Zhang China
Lü Su United States
Chi-Yin Chow Hong Kong
Luca Foschini Italy
Kai Zheng China
Burak Kantarcı Canada
Haoyi Xiong China
Guangzhong Sun China
Yunhao Liu China
Leye Wang relative to Yasha Wang China Yasha Wang's profile →
Citations per field
00.5×5.8×
Yasha Wang · 1×
Citations per year

Countries citing papers authored by Leye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Leye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
Hit paper breakdown →
2019601
2 2016208
3 2016168
4 2015156
5 2017148
6 2014138
7 2018118
8 2018111
9 2019110
10 2019105
11 2014104
12 202197
13 202094
14 201892
15 202186
16 202085
17 201581
18 201680
19 201772
20 201571

About Leye Wang

Leye Wang is a scholar working on Transportation, Computer Science Applications, Signal Processing, Building and Construction and Artificial Intelligence, having authored 98 papers that have together received 4.0k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (41 papers), Mobile Crowdsensing and Crowdsourcing (34 papers), Indoor and Outdoor Localization Technologies (25 papers), Privacy-Preserving Technologies in Data (19 papers), Traffic Prediction and Management Techniques (15 papers), Speech and Audio Processing (9 papers), Transportation Planning and Optimization (7 papers) and Privacy, Security, and Data Protection (6 papers). The work is most often cited by research in Computer Science Applications (1.7k citations), Transportation (1.7k citations), Building and Construction (876 citations), Artificial Intelligence (1.0k citations) and Signal Processing (332 citations). Leye Wang has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Daqing Zhang, Yasha Wang, Haoyi Xiong, Xiaojuan Ma, Xiao Han, Qiang Yang, Bin Guo, Geng Xu, Dingqi Yang and Yan Liu. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems and ACM Transactions on Intelligent Systems and Technology.

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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