En Wang
Impact in
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
- Transportation top 0.5%
- Human Mobility and Location-Based Analysis
Papers in
-
- Mobile Crowdsensing and Crowdsourcing 53
-
- Human Mobility and Location-Based Analysis 47
- Co-authors
- Yongjian Yang (83 shared papers)Wenbin Liu (40 shared papers)Jie Wu (41 shared papers)Yuanbo Xu (29 shared papers)Xingbo Wang (1 shared paper)Hengzhi Wang (14 shared papers)Jiayu Han (7 shared papers)Liang Wang (8 shared papers)
- Journals
- IEEE Transactions on Mobile Computing (12 papers)IEEE Access (8 papers)IEEE Transactions on Knowledge and Data Engineering (7 papers)Information Sciences (4 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
En Wang
129 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 136
- Computer Science Applications 788
- Transportation 576
- Computer Networks and Communications 427
- Building and Construction 219
- Management Science and Operations Research 193
Countries citing papers authored by En Wang
This map shows the geographic impact of En 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 En Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites En Wang more than expected).
Fields of papers citing papers by En Wang
This network shows the impact of papers produced by En 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 En Wang. The network helps show where En Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside En Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 234 | |
| 2 | 2018 | 94 | |
| 3 | 2021 | 80 | |
| 4 | 2022 | 64 | |
| 5 | 2020 | 57 | |
| 6 | 2020 | 54 | |
| 7 | 2019 | 53 | |
| 8 | 2019 | 50 | |
| 9 | 2016 | 47 | |
| 10 | 2019 | 43 | |
| 11 | 2017 | 36 | |
| 12 | 2022 | 36 | |
| 13 | 2020 | 36 | |
| 14 | 2022 | 35 | |
| 15 | 2022 | 34 | |
| 16 | 2017 | 32 | |
| 17 | 2022 | 30 | |
| 18 | 2022 | 29 | |
| 19 | 2018 | 28 | |
| 20 | 2020 | 27 |
About En Wang
En Wang is a scholar working on Computer Science Applications, Transportation, Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 138 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (53 papers), Human Mobility and Location-Based Analysis (47 papers), Opportunistic and Delay-Tolerant Networks (19 papers), Indoor and Outdoor Localization Technologies (16 papers), Privacy-Preserving Technologies in Data (14 papers), Caching and Content Delivery (14 papers), Mobile Ad Hoc Networks (13 papers) and Recommender Systems and Techniques (13 papers). The work is most often cited by research in Computer Science Applications (788 citations), Transportation (576 citations), Computer Networks and Communications (427 citations), Building and Construction (219 citations) and Management Science and Operations Research (193 citations). En Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yongjian Yang, Wenbin Liu, Jie Wu, Yuanbo Xu, Xingbo Wang, Hengzhi Wang, Jiayu Han, Liang Wang, Yi Chang and Hui Xiong. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Access, IEEE Transactions on Knowledge and Data Engineering, Information Sciences and Scientific Reports.
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.