Leye Wang

6.8k total citations · 1 hit paper
98 papers, 4.0k citations indexed

About

Leye Wang is a scholar working on Transportation, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Leye Wang has authored 98 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Transportation, 34 papers in Computer Science Applications and 29 papers in Artificial Intelligence. Recurrent topics in Leye Wang's work include Human Mobility and Location-Based Analysis (41 papers), Mobile Crowdsensing and Crowdsourcing (34 papers) and Indoor and Outdoor Localization Technologies (25 papers). Leye Wang is often cited by papers focused on Human Mobility and Location-Based Analysis (41 papers), Mobile Crowdsensing and Crowdsourcing (34 papers) and Indoor and Outdoor Localization Technologies (25 papers). Leye Wang collaborates with scholars based in China, France and Hong Kong. Leye Wang's co-authors include Daqing Zhang, Yasha Wang, Xiao Han, Xiaojuan Ma, Haoyi Xiong, Qiang Yang, Bin Guo, Geng Xu, Dingqi Yang and Lingyu Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, MIS Quarterly and Expert Systems with Applications.

In The Last Decade

Leye Wang

95 papers receiving 3.9k citations

Hit Papers

Spatiotemporal Multi-Graph Convolution Network for Ride-H... 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leye Wang China 34 1.7k 1.7k 1.1k 1.0k 876 98 4.0k
Yasha Wang China 30 841 0.5× 920 0.6× 1.4k 1.3× 859 0.8× 281 0.3× 92 3.4k
Daqing Zhang China 30 913 0.5× 999 0.6× 744 0.7× 681 0.7× 251 0.3× 150 3.5k
Luca Foschini Italy 33 816 0.5× 1.0k 0.6× 1.1k 1.0× 722 0.7× 246 0.3× 281 4.9k
Chi-Yin Chow Hong Kong 34 1.4k 0.8× 570 0.3× 654 0.6× 2.2k 2.2× 296 0.3× 116 4.4k
Lü Su United States 41 880 0.5× 2.4k 1.4× 1.4k 1.3× 3.0k 3.0× 265 0.3× 179 6.5k
Kai Zheng China 46 1.8k 1.0× 661 0.4× 521 0.5× 2.2k 2.2× 843 1.0× 357 7.0k
Burak Kantarcı Canada 39 707 0.4× 1.2k 0.7× 1.8k 1.7× 1.8k 1.8× 217 0.2× 295 6.1k
Haoyi Xiong China 33 718 0.4× 955 0.6× 709 0.7× 939 0.9× 120 0.1× 150 3.4k
Guangzhong Sun China 20 1.7k 1.0× 210 0.1× 283 0.3× 883 0.9× 835 1.0× 110 3.4k
Yunhao Liu China 38 428 0.3× 580 0.4× 1.7k 1.6× 824 0.8× 183 0.2× 182 4.4k

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-authorship network of co-authors of Leye Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Leye Wang. A scholar is included among the top collaborators of Leye Wang 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 Leye Wang. Leye Wang 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.
Luo, Gan, et al.. (2025). FireExpert: Fire Event Identification and Assessment Leveraging Cross-Domain Knowledge and Large Language Model. IEEE Transactions on Mobile Computing. 24(6). 4794–4810. 3 indexed citations
2.
Wang, Zeyu, et al.. (2024). STORM: A Spatio-Temporal Context-Aware Model for Predicting Event-Triggered Abnormal Crowd Traffic. IEEE Transactions on Intelligent Transportation Systems. 25(10). 13051–13066. 3 indexed citations
3.
Wang, Leye, et al.. (2024). Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression Against Heterogeneous Attacks Toward AI Software Deployment. IEEE Transactions on Software Engineering. 50(3). 376–390. 3 indexed citations
4.
Gao, Ruiyang, et al.. (2024). WiFi-CSI Difference Paradigm. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(2). 1–29. 10 indexed citations
5.
Li, Yang, et al.. (2024). SigCan: Toward Reliable ToF Estimation Leveraging Multipath Signal Cancellation on Commodity WiFi Devices. IEEE Transactions on Mobile Computing. 24(3). 1895–1912. 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.
Wang, Zhenghong, Sijie Ruan, Tianqiang Huang, et al.. (2024). A lightweight multi-layer perceptron for efficient multivariate time series forecasting. Knowledge-Based Systems. 288. 111463–111463. 20 indexed citations
9.
Liu, Wenbo, Leye Wang, Yuanqing Zheng, et al.. (2023). OmniResMonitor: Omnimonitoring of Human Respiration using Acoustic Multipath Reflection. IEEE Transactions on Mobile Computing. 23(5). 3876–3889. 4 indexed citations
10.
Yu, Zhiyong, et al.. (2023). Adaptive Budgeting for Collaborative Multi-Task Data Collection in Online Sparse Crowdsensing. IEEE Transactions on Mobile Computing. 23(7). 7983–7998. 4 indexed citations
11.
Zhao, Wenbiao, et al.. (2023). Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer. 234–244. 4 indexed citations
12.
Chen, Chao, et al.. (2022). Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework. IEEE Transactions on Intelligent Transportation Systems. 24(11). 13228–13239. 6 indexed citations
13.
Wang, Jiangtao, et al.. (2021). Crowd-Machine Hybrid Urban Sensing and Computing. Computer. 54(4). 26–34. 4 indexed citations
14.
Wang, Jiangtao, Yasha Wang, Leye Wang, et al.. (2019). HyTasker: Hybrid Task Allocation in Mobile Crowd Sensing. IEEE Transactions on Mobile Computing. 19(3). 598–611. 110 indexed citations
15.
Liu, Wenbin, Yongjian Yang, En Wang, et al.. (2019). Multi-Dimensional Urban Sensing in Sparse Mobile Crowdsensing. IEEE Access. 7. 82066–82079. 21 indexed citations
16.
Wang, Jiangtao, Leye Wang, Yasha Wang, Daqing Zhang, & Linghe Kong. (2018). Task Allocation in Mobile Crowd Sensing: State-of-the-Art and Future Opportunities. IEEE Internet of Things Journal. 5(5). 3747–3757. 118 indexed citations
17.
Wang, Jiangtao, et al.. (2018). Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing. IEEE Transactions on Mobile Computing. 18(7). 1661–1673. 92 indexed citations
18.
Wang, Jiangtao, et al.. (2018). Allocating Heterogeneous Tasks in Participatory Sensing with Diverse Participant-Side Factors. IEEE Transactions on Mobile Computing. 18(9). 1979–1991. 38 indexed citations
19.
Wang, Jiangtao, Yasha Wang, Daqing Zhang, et al.. (2016). Fine-Grained Multitask Allocation for Participatory Sensing With a Shared Budget. IEEE Internet of Things Journal. 3(6). 1395–1405. 57 indexed citations
20.
Wang, Leye, et al.. (2016). ARE YOU REALLY HIDDEN? ESTIMATING CURRENT CITY EXPOSURE RISK IN ONLINE SOCIAL NETWORKS. Pacific Asia Conference on Information Systems. 80. 1 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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